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Title: An Emissive Antenna Correction for The Tropical Rainfall Measuring Mission Microwave Imager (TMI).
Creator: Alquaied, Faisal, Jones, W Linwood, Mikhael, Wasfy, Wei, Lei, Zec, Josko, Wilheit, Thomas, University of Central Florida
Abstract / Description: This dissertation deals with the radiometric calibration of a satellite microwave radiometer known as the TRMM Microwave Imager (TMI), which operated on NASA's Tropical Rainfall Measuring Mission (TRMM). This multi-frequency, conical-scanning, passive microwave, remote sensor measures the earth's blackbody emissions (brightness temperature, Tb) from a low earth orbit and covers the tropics ((&)#177;35(&)deg; latitude). The original scientific objective for TRMM's 3-year mission was to measure...
Show moreThis dissertation deals with the radiometric calibration of a satellite microwave radiometer known as the TRMM Microwave Imager (TMI), which operated on NASA's Tropical Rainfall Measuring Mission (TRMM). This multi-frequency, conical-scanning, passive microwave, remote sensor measures the earth's blackbody emissions (brightness temperature, Tb) from a low earth orbit and covers the tropics ((&)#177;35(&)deg; latitude). The original scientific objective for TRMM's 3-year mission was to measure the statistics of rainfall in the tropics. However, the mission was quite successful, and TRMM was extended for greater than 17 years to provide a long-term satellite rain measurements, which has contributed significantly to the study of global climate change.A significant part of the extended TRMM mission was the establishment of a constellation of satellite radiometer that provide frequent global rainfall measurements that enable severe storm warnings for operational hazard forecast by the international weather community. TRMM played a key role by serving as the radiometric calibration standard for the TRMM constellation microwave radiometers.The objective of this dissertation is to improve the radiometric calibration of TMI and to provide to NASA a new robust, physics-based algorithm for the legacy data processing of the TRMM brightness temperature data product, which will be called TMI 1B11 V8. Moreover, the results of this new procedure have been validated using the double difference techniques with the Global Precipitation Mission Microwave Imager (GMI), which is the replacement satellite mission to TRMM.
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Date Issued: 2017
Identifier: CFE0006711, ucf:51900
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006711

Title: Reflectance Transformation Imaging: Documenting Incised Graffiti in the Maya Lowlands.
Creator: Gill, Rachel, Kovacevich, Brigitte, Branting, Scott, Callaghan, Michael, University of Central Florida
Abstract / Description: In the late 19th century, explorers identified graffiti etched in stucco walls of residences, palaces, and temples in the Maya Lowlands. By the mid-20th century, scholars acknowledged that the ancient Maya produced these incised images. Today, archaeologists struggle with documenting these instances of graffiti with precision and accuracy, often relying solely on to-scale line drawings to best represent the graffitied image they see before them. These images can be complex, multilayered, and...
Show moreIn the late 19th century, explorers identified graffiti etched in stucco walls of residences, palaces, and temples in the Maya Lowlands. By the mid-20th century, scholars acknowledged that the ancient Maya produced these incised images. Today, archaeologists struggle with documenting these instances of graffiti with precision and accuracy, often relying solely on to-scale line drawings to best represent the graffitied image they see before them. These images can be complex, multilayered, and difficult to see so identifying the sequence of creation of the incisions can be challenging. Reflectance Transformation Imaging (RTI) is a method that uses a moving light source and photography in order to visualize, interact with, and analyze a three-dimensional object in a two-dimensional image. Performed on a series of 20 unique graffiti from the Maya archaeological site of Holtun, RTI showed promise as a viable technique for documenting and preserving graffiti as cultural heritage and for providing new information about an enigmatic aspect of Maya archaeology. Additionally, RTI is compared to other common methods used to document incised graffiti in the Maya lowland area including to-scale line drawing, tracing, photogrammetry, and scanning to show the new and unique information and data that can be gathered from this method. Finally, RTI is a low-cost, low-maintenance alternative data-gathering method for highly remote archaeological projects where other technology is difficult to obtain and use in the field setting.
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Date Issued: 2018
Identifier: CFE0007005, ucf:52049
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007005

Title: End to End Brain Fiber Orientation Estimation Using Deep Learning.
Creator: Puttashamachar, Nandakishore, Bagci, Ulas, Shah, Mubarak, Rahnavard, Nazanin, Sundaram, Kalpathy, University of Central Florida
Abstract / Description: In this work, we explore the various Brain Neuron tracking techniques, one of the most significant applications of Diffusion Tensor Imaging. Tractography is a non-invasive method to analyze underlying tissue micro-structure. Understanding the structure and organization of the tissues facilitates a diagnosis method to identify any aberrations which can occurwithin tissues due to loss of cell functionalities, provides acute information on the occurrences of brain ischemia or stroke, the...
Show moreIn this work, we explore the various Brain Neuron tracking techniques, one of the most significant applications of Diffusion Tensor Imaging. Tractography is a non-invasive method to analyze underlying tissue micro-structure. Understanding the structure and organization of the tissues facilitates a diagnosis method to identify any aberrations which can occurwithin tissues due to loss of cell functionalities, provides acute information on the occurrences of brain ischemia or stroke, the mutation of certain neurological diseases such as Alzheimer, multiple sclerosis and so on. Under all these circumstances, accurate localization of the aberrations in efficient manner can help save a life. Following up with the limitations introduced by the current Tractography techniques such as computational complexity, reconstruction errors during tensor estimation and standardization, we aim to elucidate these limitations through our research findings. We introduce an End to End Deep Learning framework which can accurately estimate the most probable likelihood orientation at each voxel along a neuronal pathway. We use Probabilistic Tractography as our baseline model to obtain the training data and which also serve as a Tractography Gold Standard for our evaluations. Through experiments we show that our Deep Network can do a significant improvement over current Tractography implementations by reducing the run-time complexity to a significant new level. Our architecture also allows for variable sized input DWI signals eliminating the need to worry about memory issues as seen with the traditional techniques. The advantageof this architecture is that it is perfectly desirable to be processed on a cloud setup and utilize the existing multi GPU frameworks to perform whole brain Tractography in minutes rather than hours. The proposed method is a good alternative to the current state of the art orientation estimation technique which we demonstrate across multiple benchmarks.
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Date Issued: 2017
Identifier: CFE0007292, ucf:52156
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007292

Title: EASING THE TEASING: THE EFFECTS OF APPEARANCE-RELATED FEEDBACK ON BODY IMAGE DISTURBANCE, EATING PATHOLOGY, BODY CHANGE BEHAVIORS, AND SELF-OBJECTIFICATION.
Creator: Schuster, Elizabeth, Negy, Charles, University of Central Florida
Abstract / Description: Appearance-related commentary can be positive or negative. Such commentary has been shown to negatively affect the mental health and well-being of women in a well-documented body of research. There is limited research on this topic pertaining to males. The purpose of this study was to investigate the effects of appearance-related commentary in men. Results indicate that men who receive more negative commentary are more likely to experience eating pathology, body dissatisfaction, distress from...
Show moreAppearance-related commentary can be positive or negative. Such commentary has been shown to negatively affect the mental health and well-being of women in a well-documented body of research. There is limited research on this topic pertaining to males. The purpose of this study was to investigate the effects of appearance-related commentary in men. Results indicate that men who receive more negative commentary are more likely to experience eating pathology, body dissatisfaction, distress from commentary, and participate in compulsive exercising and appearance-change behaviors. However, men that receive positive commentary are likely to experience more positive outcomes, reporting less dissatisfaction and pathology but more appearance-change behaviors. It appears that men are affected by negative, appearance-related commentary in the same ways that women are, but that they experience positive commentary in a more direct and appropriate manner. Additionally, self-objectification, a covariate found to interact in similar relations with women, was not found to account for any of the variance between appearance-related feedback and outcomes.
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Date Issued: 2010
Identifier: CFE0003498, ucf:48982
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003498

Title: WALKING BACKWARDS INTO THE FUTURE.
Creator: Norman, Camille, Wood, Vandy, University of Central Florida
Abstract / Description: Recent artists like Norwegian Recycling and E-603 have created a new genre of art within music: digital recycling. These artists take many different well-known and less-known lyrics, music, and spoken word and combine them together. This meshing of multiple pieces of art has new historical roots. The different images, auditory and visual, that these creations produce and often enhance meaning and connections through popular media. These connections interest me most. Through the lenses of post...
Show moreRecent artists like Norwegian Recycling and E-603 have created a new genre of art within music: digital recycling. These artists take many different well-known and less-known lyrics, music, and spoken word and combine them together. This meshing of multiple pieces of art has new historical roots. The different images, auditory and visual, that these creations produce and often enhance meaning and connections through popular media. These connections interest me most. Through the lenses of post-colonial, gender, and queer theories, I examine Witi Ihimaera's creative work. I splice in different theorists' words, my own thoughts, and images to enhance and accent Ihimaera's "Singing Word" (Juniper Ellis 170). According to Ihimaera, the written word and the "novel is alien to the indigenous form, and that where Maori are going now is probably where it's most natural, and that is into theatre or into poetryand oral storytelling" (Ihimaera 170). As the first published playwright in New Zealand and as an English professor at the University of Auckland, Witi Ihimaera is a role model and leader to many other Maori and New Zealand playwrights and writers. I am most interested in understanding what and how he has been influenced as an artist. I craft a document that extends the idea of a written word in a Maori context, in which I explore the major influences on Ihimaera as a theatrical creator and influencer of other Maori artists. Chapter one introduces Witi Ihimaera and my methods. Chapter two includes my research on the Maori culture with the following subsections: the people, their traditions, and their paternal systems of power. Chapter three is my research on the influx of Pakeha authority highlighting the Mormon take over and how that affected author and playwright Witi Ihimaera. Chapter four is my research on how Ihimaera's homosexuality has influenced his creations and the contemporary Maori Performance. Chapter five contains my conclusions of the connections I find. In addition, I use examples from Witi Ihimaera's fictional novel The Uncles Story, as well as many other of his plays and novels, to show examples of influences from Maori culture, Mormonism, and his homosexuality on Ihimaera's work.
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Date Issued: 2011
Identifier: CFE0003598, ucf:48868
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003598

Title: Development of 3D Vision Testbed for Shape Memory Polymer Structure Applications.
Creator: Thompson, Kenneth, Xu, Yunjun, Gou, Jihua, Lin, Kuo-Chi, University of Central Florida
Abstract / Description: As applications for shape memory polymers (SMPs) become more advanced, it is necessary to have the ability to monitor both the actuation and thermal properties of structures made of such materials. In this paper, a method of using three stereo pairs of webcams and a single thermal camera is studied for the purposes of both tracking three dimensional motion of shape memory polymers, as well as the temperature of points of interest within the SMP structure. The method used includes a stereo...
Show moreAs applications for shape memory polymers (SMPs) become more advanced, it is necessary to have the ability to monitor both the actuation and thermal properties of structures made of such materials. In this paper, a method of using three stereo pairs of webcams and a single thermal camera is studied for the purposes of both tracking three dimensional motion of shape memory polymers, as well as the temperature of points of interest within the SMP structure. The method used includes a stereo camera calibration with integrated local minimum tracking algorithms to locate points of interest on the material and measure their temperature through interpolation techniques. The importance of the proposed method is that it allows a means to cost effectively monitor the surface temperature of a shape memory polymer structure without having to place intrusive sensors on the samples, which would limit the performance of the shape memory effect. The ability to monitor the surface temperatures of a SMP structure allows for more complex configurations to be created while increasing the performance and durability of the material. Additionally, as compared to the previous version, both the functionalities of the testbed and the user interface have been significantly improved.
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Date Issued: 2015
Identifier: CFE0005893, ucf:50860
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005893

Title: Super Resolution of Wavelet-Encoded Images and Videos.
Creator: Atalay, Vildan, Foroosh, Hassan, Bagci, Ulas, Hughes, Charles, Pensky, Marianna, University of Central Florida
Abstract / Description: In this dissertation, we address the multiframe super resolution reconstruction problem for wavelet-encoded images and videos. The goal of multiframe super resolution is to obtain one or more high resolution images by fusing a sequence of degraded or aliased low resolution images of the same scene. Since the low resolution images may be unaligned, a registration step is required before super resolution reconstruction. Therefore, we first explore in-band (i.e. in the wavelet-domain) image...
Show moreIn this dissertation, we address the multiframe super resolution reconstruction problem for wavelet-encoded images and videos. The goal of multiframe super resolution is to obtain one or more high resolution images by fusing a sequence of degraded or aliased low resolution images of the same scene. Since the low resolution images may be unaligned, a registration step is required before super resolution reconstruction. Therefore, we first explore in-band (i.e. in the wavelet-domain) image registration; then, investigate super resolution.Our motivation for analyzing the image registration and super resolution problems in the wavelet domain is the growing trend in wavelet-encoded imaging, and wavelet-encoding for image/video compression. Due to drawbacks of widely used discrete cosine transform in image and video compression, a considerable amount of literature is devoted to wavelet-based methods. However, since wavelets are shift-variant, existing methods cannot utilize wavelet subbands efficiently. In order to overcome this drawback, we establish and explore the direct relationship between the subbands under a translational shift, for image registration and super resolution. We then employ our devised in-band methodology, in a motion compensated video compression framework, to demonstrate the effective usage of wavelet subbands.Super resolution can also be used as a post-processing step in video compression in order to decrease the size of the video files to be compressed, with downsampling added as a pre-processing step. Therefore, we present a video compression scheme that utilizes super resolution to reconstruct the high frequency information lost during downsampling. In addition, super resolution is a crucial post-processing step for satellite imagery, due to the fact that it is hard to update imaging devices after a satellite is launched. Thus, we also demonstrate the usage of our devised methods in enhancing resolution of pansharpened multispectral images.
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Date Issued: 2017
Identifier: CFE0006854, ucf:51744
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006854

Title: Confluence of Vision and Natural Language Processing for Cross-media Semantic Relations Extraction.
Creator: Tariq, Amara, Foroosh, Hassan, Qi, GuoJun, Gonzalez, Avelino, Pensky, Marianna, University of Central Florida
Abstract / Description: In this dissertation, we focus on extracting and understanding semantically meaningful relationshipsbetween data items of various modalities; especially relations between images and naturallanguage. We explore the ideas and techniques to integrate such cross-media semantic relationsfor machine understanding of large heterogeneous datasets, made available through the expansionof the World Wide Web. The datasets collected from social media websites, news media outletsand blogging platforms...
Show moreIn this dissertation, we focus on extracting and understanding semantically meaningful relationshipsbetween data items of various modalities; especially relations between images and naturallanguage. We explore the ideas and techniques to integrate such cross-media semantic relationsfor machine understanding of large heterogeneous datasets, made available through the expansionof the World Wide Web. The datasets collected from social media websites, news media outletsand blogging platforms usually contain multiple modalities of data. Intelligent systems are needed to automatically make sense out of these datasets and present them in such a way that humans can find the relevant pieces of information or get a summary of the available material. Such systems have to process multiple modalities of data such as images, text, linguistic features, and structured data in reference to each other. For example, image and video search and retrieval engines are required to understand the relations between visual and textual data so that they can provide relevant answers in the form of images and videos to the users' queries presented in the form of text.We emphasize the automatic extraction of semantic topics or concepts from the data available in any form such as images, free-flowing text or metadata. These semantic concepts/topics become the basis of semantic relations across heterogeneous data types, e.g., visual and textual data. A classic problem involving image-text relations is the automatic generation of textual descriptions of images. This problem is the main focus of our work. In many cases, large amount of text is associated with images. Deep exploration of linguistic features of such text is required to fully utilize the semantic information encoded in it. A news dataset involving images and news articles is an example of this scenario. We devise frameworks for automatic news image description generation based on the semantic relations of images, as well as semantic understanding of linguistic features of the news articles.
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Date Issued: 2016
Identifier: CFE0006507, ucf:51401
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006507

Title: Computerized Evaluatution of Microsurgery Skills Training.
Creator: Jotwani, Payal, Foroosh, Hassan, Hughes, Charles, Hua, Kien, University of Central Florida
Abstract / Description: The style of imparting medical training has evolved, over the years. The traditional methods of teaching and practicing basic surgical skills under apprenticeship model, no longer occupy the first place in modern technically demanding advanced surgical disciplines like neurosurgery. Furthermore, the legal and ethical concerns for patient safety as well as cost-effectiveness have forced neurosurgeons to master the necessary microsurgical techniques to accomplish desired results. This has lead...
Show moreThe style of imparting medical training has evolved, over the years. The traditional methods of teaching and practicing basic surgical skills under apprenticeship model, no longer occupy the first place in modern technically demanding advanced surgical disciplines like neurosurgery. Furthermore, the legal and ethical concerns for patient safety as well as cost-effectiveness have forced neurosurgeons to master the necessary microsurgical techniques to accomplish desired results. This has lead to increased emphasis on assessment of clinical and surgical techniques of the neurosurgeons. However, the subjective assessment of microsurgical techniques like micro-suturing under the apprenticeship model cannot be completely unbiased. A few initiatives using computer-based techniques, have been made to introduce objective evaluation of surgical skills.This thesis presents a novel approach involving computerized evaluation of different components of micro-suturing techniques, to eliminate the bias of subjective assessment. The work involved acquisition of cine clips of micro-suturing activity on synthetic material. Image processing and computer vision based techniques were then applied to these videos to assess different characteristics of micro-suturing viz. speed, dexterity and effectualness. In parallel subjective grading on these was done by a senior neurosurgeon. Further correlation and comparative study of both the assessments was done to analyze the efficacy of objective and subjective evaluation.
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Date Issued: 2015
Identifier: CFE0006221, ucf:51056
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006221

Title: Application of Two-Photon Absorbing Fluorene-Containing Compounds in Bioimaging and Photodyanimc Therapy.
Creator: Yue, Xiling, Belfield, Kevin, Campiglia, Andres, Miles, Delbert, Frazer, Andrew, Cheng, Zixi, University of Central Florida
Abstract / Description: Two-photon absorbing (2PA) materials has been widely studied for their highly localized excitation and nonlinear excitation efficiency. Application of 2PA materials includes fluorescence imaging, microfabrication, 3D data storage, photodynamic therapy, etc. Many materials have good 2PA photophysical properties, among which, the fluorenyl structure and its derivatives have attracted attention with their high 2PA cross-section and high fluorescence quantum yield.Herein, several compounds with...
Show moreTwo-photon absorbing (2PA) materials has been widely studied for their highly localized excitation and nonlinear excitation efficiency. Application of 2PA materials includes fluorescence imaging, microfabrication, 3D data storage, photodynamic therapy, etc. Many materials have good 2PA photophysical properties, among which, the fluorenyl structure and its derivatives have attracted attention with their high 2PA cross-section and high fluorescence quantum yield.Herein, several compounds with 2PA properties are discussed. All of these compounds contain one or two fluorenyl core units as part of the conjugated system. The aim of this dissertation is to discuss the application of these compounds according to their photophysical properties. In chapters 2 to 4, compounds were investigated for cell imaging and tissue imaging. In chapter 5, compounds were evaluated for photodynamic therapy effects on cancer cells. Chapters 2 and 3 detail compounds with quinolizinium and pyran as core structures, respectively. Fluorene was introduced into structures as substituents. Quinolizinium structures exhibited a large increase in fluorescence when binding with Bovine Serum Albumin (BSA). Further experiments in cell imaging demonstrated a fluorescence turn-on effect in cell membranes, indicating the possibility for these novel compounds to be promising membrane probes. Pyran structures were conjugated with arginylglycylaspartic acid peptide (RGD) to recognize integrin and introduced in cells and an animal model with tumors. Both probes showed specific targeting of tumor vasculature. Imaging reached penetration as deep as 350 ?m in solid tumors and exhibited good resolution. These results suggest the RGD-conjugated pyran structure should be a good candidate probe for live tissue imaging. Chapter 4 applied a fluorene core structure conjugated with RGD as well. Application of this fluorenyl probe compound is in wound healing animal models. Fluorescence was collected from vasculature and fibroblasts up to ? 1600 ?m within wound tissue in lesions made on the skin of mice. The resolution of images is also high enough to recognize cell types by immunohistochemical staining. This technology can be applied for reliable quantification and illustration of key biological processes taking place during tissue regeneration in the skin. Chapter 5 describes three fluorenyl core structures with photoacid generation properties. One of the structures showed excellent photo-induced toxicity. Cancer cells underwent necrotic cell death due to pH decrease in lysosomes and endosomes, suggesting a new mechanism for photodynamic therapy.
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Date Issued: 2014
Identifier: CFE0005565, ucf:50276
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005565

Title: The Effects of Viewing Sexually Explicit Materials on Men's Body Image Satisfaction, Interest in Pursuing Cosmetic Surgery, and Body Change Behaviors.
Creator: Schuster, Elizabeth, Negy, Charles, Renk, Kimberly, Beidel, Deborah, University of Central Florida
Abstract / Description: This study examined the effects of viewing sexually explicit media on men's body image, body change behaviors, and esteem in a randomized experimental study. The purpose was to determine if a cause and effect relationship exists between viewing sexually explicit media and body image dissatisfaction in men. Participants were randomized to one of four conditions. They were asked to view a short media clip and then answer a series of questionnaires assessing their current body change strategies ...
Show moreThis study examined the effects of viewing sexually explicit media on men's body image, body change behaviors, and esteem in a randomized experimental study. The purpose was to determine if a cause and effect relationship exists between viewing sexually explicit media and body image dissatisfaction in men. Participants were randomized to one of four conditions. They were asked to view a short media clip and then answer a series of questionnaires assessing their current body change strategies (e.g., pathogenic weight control practices), interest in risky body behaviors (e.g., cosmetic surgery), esteem (i.e., genital, sexual, and self-esteem), and overall body image satisfaction. It was hypothesized that men exposed to the sexually explicit media condition would evidence more dissatisfaction with their bodies, utilize more body change strategies, and have more interest in risky body change behaviors. It was also hypothesized that men exposed to the sexually explicit condition would evidence poorer self-esteem, sexual esteem, and genital esteem relative to participants in the other conditions. The hypotheses were not supported. There were no significant differences among any of the conditions, including a more specific analysis between the control and sexually explicit conditions. As this differs from findings of similar studies with female participants, it is important for future studies to further examine this topic and to identify protective factors that may exist for men who view sexually explicit materials.
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Date Issued: 2014
Identifier: CFE0005413, ucf:50429
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005413

Title: Visual Geo-Localization and Location-Aware Image Understanding.
Creator: Roshan Zamir, Amir, Shah, Mubarak, Jha, Sumit, Sukthankar, Rahul, Lin, Mingjie, Fathpour, Sasan, University of Central Florida
Abstract / Description: Geo-localization is the problem of discovering the location where an image or video was captured. Recently, large scale geo-localization methods which are devised for ground-level imagery and employ techniques similar to image matching have attracted much interest. In these methods, given a reference dataset composed of geo-tagged images, the problem is to estimate the geo-location of a query by finding its matching reference images.In this dissertation, we address three questions central to...
Show moreGeo-localization is the problem of discovering the location where an image or video was captured. Recently, large scale geo-localization methods which are devised for ground-level imagery and employ techniques similar to image matching have attracted much interest. In these methods, given a reference dataset composed of geo-tagged images, the problem is to estimate the geo-location of a query by finding its matching reference images.In this dissertation, we address three questions central to geo-spatial analysis of ground-level imagery: \textbf{1) How to geo-localize images and videos captured at unknown locations? 2) How to refine the geo-location of already geo-tagged data? 3) How to utilize the extracted geo-tags?}We present a new framework for geo-locating an image utilizing a novel multiple nearest neighbor feature matching method using Generalized Minimum Clique Graphs (GMCP). First, we extract local features (e.g., SIFT) from the query image and retrieve a number of nearest neighbors for each query feature from the reference data set. Next, we apply our GMCP-based feature matching to select a single nearest neighbor for each query feature such that all matches are globally consistent. Our approach to feature matching is based on the proposition that the first nearest neighbors are not necessarily the best choices for finding correspondences in image matching. Therefore, the proposed method considers multiple reference nearest neighbors as potential matches and selects the correct ones by enforcing the consistency among their global features (e.g., GIST) using GMCP. Our evaluations using a new data set of 102k Street View images shows the proposed method outperforms the state-of-the-art by 10 percent.Geo-localization of images can be extended to geo-localization of a video. We have developed a novel method for estimating the geo-spatial trajectory of a moving camera with unknown intrinsic parameters in a city-scale. The proposed method is based on a three step process: 1) individual geo-localization of video frames using Street View images to obtain the likelihood of the location (latitude and longitude) given the current observation, 2) Bayesian tracking to estimate the frame location and video's temporal evolution using previous state probabilities and current likelihood, and 3) applying a novel Minimum Spanning Trees based trajectory reconstruction to eliminate trajectory loops or noisy estimations. Thus far, we have assumed reliable geo-tags for reference imagery are available through crowdsourcing. However, crowdsourced images are well known to suffer from the acute shortcoming of having inaccurate geo-tags. We have developed the first method for refinement of GPS-tags which automatically discovers the subset of corrupted geo-tags and refines them. We employ Random Walks to discover the uncontaminated subset of location estimations and robustify Random Walks with a novel adaptive damping factor that conforms to the level of noise in the input. In location-aware image understanding, we are interested in improving the image analysis by putting it in the right geo-spatial context. This approach is of particular importance as the majority of cameras and mobile devices are now being equipped with GPS chips. Therefore, developing techniques which can leverage the geo-tags of images for improving the performance of traditional computer vision tasks is of particular interest. We have developed a location-aware multimodal approach which incorporates business directories, textual information, and web images to identify businesses in a geo-tagged query image.
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Date Issued: 2014
Identifier: CFE0005544, ucf:50282
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005544

Title: Learning Algorithms for Fat Quantification and Tumor Characterization.
Creator: Hussein, Sarfaraz, Bagci, Ulas, Shah, Mubarak, Heinrich, Mark, Pensky, Marianna, University of Central Florida
Abstract / Description: Obesity is one of the most prevalent health conditions. About 30% of the world's and over 70% of the United States' adult populations are either overweight or obese, causing an increased risk for cardiovascular diseases, diabetes, and certain types of cancer. Among all cancers, lung cancer is the leading cause of death, whereas pancreatic cancer has the poorest prognosis among all major cancers. Early diagnosis of these cancers can save lives. This dissertation contributes towards the...
Show moreObesity is one of the most prevalent health conditions. About 30% of the world's and over 70% of the United States' adult populations are either overweight or obese, causing an increased risk for cardiovascular diseases, diabetes, and certain types of cancer. Among all cancers, lung cancer is the leading cause of death, whereas pancreatic cancer has the poorest prognosis among all major cancers. Early diagnosis of these cancers can save lives. This dissertation contributes towards the development of computer-aided diagnosis tools in order to aid clinicians in establishing the quantitative relationship between obesity and cancers. With respect to obesity and metabolism, in the first part of the dissertation, we specifically focus on the segmentation and quantification of white and brown adipose tissue. For cancer diagnosis, we perform analysis on two important cases: lung cancer and Intraductal Papillary Mucinous Neoplasm (IPMN), a precursor to pancreatic cancer. This dissertation proposes an automatic body region detection method trained with only a single example. Then a new fat quantification approach is proposed which is based on geometric and appearance characteristics. For the segmentation of brown fat, a PET-guided CT co-segmentation method is presented. With different variants of Convolutional Neural Networks (CNN), supervised learning strategies are proposed for the automatic diagnosis of lung nodules and IPMN. In order to address the unavailability of a large number of labeled examples required for training, unsupervised learning approaches for cancer diagnosis without explicit labeling are proposed. We evaluate our proposed approaches (both supervised and unsupervised) on two different tumor diagnosis challenges: lung and pancreas with 1018 CT and 171 MRI scans respectively. The proposed segmentation, quantification and diagnosis approaches explore the important adiposity-cancer association and help pave the way towards improved diagnostic decision making in routine clinical practice.
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Date Issued: 2018
Identifier: CFE0007196, ucf:52288
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007196

Title: Towards Real-time Mixed Reality Matting in Natural Scenes.
Creator: Beato, Nicholas, Hughes, Charles, Foroosh, Hassan, Tappen, Marshall, Moshell, Jack, University of Central Florida
Abstract / Description: In Mixed Reality scenarios, background replacement is a common way to immerse a user in a synthetic environment. Properly identifying the background pixels in an image or video is a difficult problem known as matting. In constant color matting, research identifies and replaces a background that is a single color, known as the chroma key color. Unfortunately, the algorithms force a controlled physical environment and favor constant, uniform lighting. More generic approaches, such as natural...
Show moreIn Mixed Reality scenarios, background replacement is a common way to immerse a user in a synthetic environment. Properly identifying the background pixels in an image or video is a difficult problem known as matting. In constant color matting, research identifies and replaces a background that is a single color, known as the chroma key color. Unfortunately, the algorithms force a controlled physical environment and favor constant, uniform lighting. More generic approaches, such as natural image matting, have made progress finding alpha matte solutions in environments with naturally occurring backgrounds. However, even for the quicker algorithms, the generation of trimaps, indicating regions of known foreground and background pixels, normally requires human interaction or offline computation. This research addresses ways to automatically solve an alpha matte for an image in real-time, and by extension video, using a consumer level GPU. It do so even in the context of noisy environments that result in less reliable constraints than found in controlled settings. To attack these challenges, we are particularly interested in automatically generating trimaps from depth buffers for dynamic scenes so that algorithms requiring more dense constraints may be used. We then explore a sub-image based approach to parallelize an existing hierarchical approach on high resolution imagery by taking advantage of local information. We show that locality can be exploited to significantly reduce the memory and compute requirements of previously necessary when computing alpha mattes of high resolution images. We achieve this using a parallelizable scheme that is both independent of the matting algorithm and image features. Combined, these research topics provide a basis for Mixed Reality scenarios using real-time natural image matting on high definition video sources.
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Date Issued: 2012
Identifier: CFE0004515, ucf:49284
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004515

Title: Harnessing Spatial Intensity Fluctuations for Optical Imaging and Sensing.
Creator: Akhlaghi Bouzan, Milad, Dogariu, Aristide, Saleh, Bahaa, Pang, Sean, Atia, George, University of Central Florida
Abstract / Description: Properties of light such as amplitude and phase, temporal and spatial coherence, polarization, etc. are abundantly used for sensing and imaging. Regardless of the passive or active nature of the sensing method, optical intensity fluctuations are always present! While these fluctuations are usually regarded as noise, there are situations where one can harness the intensity fluctuations to enhance certain attributes of the sensing procedure. In this thesis, we developed different sensing...
Show moreProperties of light such as amplitude and phase, temporal and spatial coherence, polarization, etc. are abundantly used for sensing and imaging. Regardless of the passive or active nature of the sensing method, optical intensity fluctuations are always present! While these fluctuations are usually regarded as noise, there are situations where one can harness the intensity fluctuations to enhance certain attributes of the sensing procedure. In this thesis, we developed different sensing methodologies that use statistical properties of optical fluctuations for gauging specific information. We examine this concept in the context of three different aspects of computational optical imaging and sensing. First, we study imposing specific statistical properties to the probing field to image or characterize certain properties of an object through a statistical analysis of the spatially integrated scattered intensity. This offers unique capabilities for imaging and sensing techniques operating in highly perturbed environments and low-light conditions. Next, we examine optical sensing in the presence of strong perturbations that preclude any controllable field modification. We demonstrate that inherent properties of diffused coherent fields and fluctuations of integrated intensity can be used to track objects hidden behind obscurants. Finally, we address situations where, due to coherent noise, image accuracy is severely degraded by intensity fluctuations. By taking advantage of the spatial coherence properties of optical fields, we show that this limitation can be effectively mitigated and that a significant improvement in the signal-to-noise ratio can be achieved even in one single-shot measurement. The findings included in this dissertation illustrate different circumstances where optical fluctuations can affect the efficacy of computational optical imaging and sensing. A broad range of applications, including biomedical imaging and remote sensing, could benefit from the new approaches to suppress, enhance, and exploit optical fluctuations, which are described in this dissertation.
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Date Issued: 2017
Identifier: CFE0007274, ucf:52200
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007274

Title: ANISOTROPY EVOLUTION DUE TO SURFACE TREATMENT ON 3D-PRINTED FUSED DEPOSITION MODELING (FDM) OF ACRYLONITRILE BUTADIENE STYRENE (ABS).
Creator: Lozinski, Blake E, Kassab, Alain, University of Central Florida
Abstract / Description: Purpose: This paper will present insight to the methodology and results of the experimental characterization of Acrylonitrile Butadiene Styrene (ABS) using Fused Deposition Modeling (FDM). The work in this research explored the effects of print orientation, surface treatment, and ultraviolet (UV) light degradation with the utilization of Digital Image Correlation (DIC) on ABS tensile specimens. Design/methodology: ABS specimens were printed at three build orientations (flat (0 degrees), 45...
Show morePurpose: This paper will present insight to the methodology and results of the experimental characterization of Acrylonitrile Butadiene Styrene (ABS) using Fused Deposition Modeling (FDM). The work in this research explored the effects of print orientation, surface treatment, and ultraviolet (UV) light degradation with the utilization of Digital Image Correlation (DIC) on ABS tensile specimens. Design/methodology: ABS specimens were printed at three build orientations (flat (0 degrees), 45 degrees, and up-right (90 degrees)). Each of these specimens were treated with three different surface treatments including a control (acrylic paint, Cyanoacrylate, and Diglycidyl Bisphenol A) followed by exposure to UV light to the respective batches. This experiment design will provide tensile direction properties with the effect of thermoset coatings and UV degradation. Dogbone FDM specimens based on ASTM standard D638 type IV were printed on a Stratasys Dimension SST (Soluble Support Technology) 1200es 3D Printer and loaded into a MTS Landmark Servohydraulic Test Systems. Analysis was preformed on the fracture section of the tensile specimens utilized DIC and comparing Ultimate Tensile Strength (UTS) and Ultimate Fracture Strength (UFS). Findings: From the results UV light did not play a large factor in the strength of the specimens. The print orientation showed the largest anisotropic behavior where some specimens experienced as much as a 54% difference in ultimate tensile strength. Thermoset coated specimens experienced a maximum of 2% increase in strength for the Cyanoacrylate and Diglycidyl Bisphenol A specimens where the acrylic paint and natural did not. Several findings were of value when looking at the stress strain plots. Originality/value: This paper provides knowledge to the limited work on print build orientation, thermoset coatings and, UV light on ABS specimens. Very little to no work has been done on these three properties. This paper can serve as the foundation of future work on external applications on ABS plastics.
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Date Issued: 2017
Identifier: CFH2000269, ucf:45825
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH2000269

Title: SUB-PIXEL REGISTRATION IN COMPUTATIONAL IMAGING AND APPLICATIONS TO ENHANCEMENT OF MAXILLOFACIAL CT DATA.
Creator: Balci, Murat, Foroosh, Hassan, University of Central Florida
Abstract / Description: In computational imaging, data acquired by sampling the same scene or object at different times or from different orientations result in images in different coordinate systems. Registration is a crucial step in order to be able to compare, integrate and fuse the data obtained from different measurements. Tomography is the method of imaging a single plane or slice of an object. A Computed Tomography (CT) scan, also known as a CAT scan (Computed Axial Tomography scan), is a Helical Tomography,...
Show moreIn computational imaging, data acquired by sampling the same scene or object at different times or from different orientations result in images in different coordinate systems. Registration is a crucial step in order to be able to compare, integrate and fuse the data obtained from different measurements. Tomography is the method of imaging a single plane or slice of an object. A Computed Tomography (CT) scan, also known as a CAT scan (Computed Axial Tomography scan), is a Helical Tomography, which traditionally produces a 2D image of the structures in a thin section of the body. It uses X-ray, which is ionizing radiation. Although the actual dose is typically low, repeated scans should be limited. In dentistry, implant dentistry in specific, there is a need for 3D visualization of internal anatomy. The internal visualization is mainly based on CT scanning technologies. The most important technological advancement which dramatically enhanced the clinician's ability to diagnose, treat, and plan dental implants has been the CT scan. Advanced 3D modeling and visualization techniques permit highly refined and accurate assessment of the CT scan data. However, in addition to imperfections of the instrument and the imaging process, it is not uncommon to encounter other unwanted artifacts in the form of bright regions, flares and erroneous pixels due to dental bridges, metal braces, etc. Currently, removing and cleaning up the data from acquisition backscattering imperfections and unwanted artifacts is performed manually, which is as good as the experience level of the technician. On the other hand the process is error prone, since the editing process needs to be performed image by image. We address some of these issues by proposing novel registration methods and using stonecast models of patient's dental imprint as reference ground truth data. Stone-cast models were originally used by dentists to make complete or partial dentures. The CT scan of such stone-cast models can be used to automatically guide the cleaning of patients' CT scans from defects or unwanted artifacts, and also as an automatic segmentation system for the outliers of the CT scan data without use of stone-cast models. Segmented data is subsequently used to clean the data from artifacts using a new proposed 3D inpainting approach.
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Date Issued: 2006
Identifier: CFE0001443, ucf:47040
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001443

Title: OPTIMIZING THE PERFORMANCE OF AS-MANUFACTURED GRAZING INCIDENCE X-RAY TELESCOPES USING MOSAIC DETECTOR ARRAYS.
Creator: Atanassova, Martina, Harvey, James, University of Central Florida
Abstract / Description: The field of X-ray astronomy is only forty (43) years old, and grazing incidence X-ray telescopes have only been conceived and designed for a little over fifty (50) years. The Wolter Type I design is particularly well suited for stellar astronomical telescopes (very small field-of-view). The first orbiting X-ray observatory, HEAO-1 was launched in 1977, a mere twenty-eight (28) years ago. Since that time large nested Wolter Type I X-ray telescopes have been designed, build, and launched by...
Show moreThe field of X-ray astronomy is only forty (43) years old, and grazing incidence X-ray telescopes have only been conceived and designed for a little over fifty (50) years. The Wolter Type I design is particularly well suited for stellar astronomical telescopes (very small field-of-view). The first orbiting X-ray observatory, HEAO-1 was launched in 1977, a mere twenty-eight (28) years ago. Since that time large nested Wolter Type I X-ray telescopes have been designed, build, and launched by the European Space Agency (ROSAT) and NASA (the Chandra Observatory). Several smaller grazing incidence telescopes have been launched for making solar observations (SOHO, HESP, SXI). These grazing incidence designs tend to suffer from severe aberrations and at these very short wavelengths scattering effects from residual optical fabrication errors are another major source of image degradation. The fabrication of precision optical surfaces for grazing incidence X-ray telescopes thus poses a great technological challenge. Both the residual "figure" errors and the residual microroughness or "finish" of the manufactured mirrors must be precisely measured, and the image degradation due to these fabrication errors must be accurately modeled in order to predict the final optical performance of the as manufactured telescope. The fabrication process thus consists of a series of polishing and testing cycles with the predictions from the metrology data of each cycle indicating the strategy for the next polishing cycle. Most commercially available optical design and analysis software analyzes the image degradation effects of diffraction and aberrations, but does not adequately model the image degradation effects of surface scatter or the effects of state-of-the-art mosaic detectors. The work presented in this dissertation is in support of the Solar X-ray Imager (SXI) program. We have developed a rigorous procedure by which to analyze detector effects in systems which exhibit severe field-dependent aberrations (conventional transfer function analysis is not applicable). Furthermore, we developed a technique to balance detector effects with geometrical aberrations, during the design process, for wide-field applications. We then included these detector effects in a complete systems engineering analysis (including the effects of diffraction, geometrical aberrations, surface scatter effects, the mirror manufacturer error budget tree, and detector effects) of image quality for the five SXI telescopes being fabricated for NOAA's next generation GOES weather satellites. In addition we have re-optimized the remaining optical design parameters after the grazing incidence SXI mirrors have been imperfectly fabricated. This ability depends critically upon the adoption of an image quality criterion, or merit function, appropriate for the specific application. In particular, we discuss in detail how the focal plane position can be adjusted to optimize the optical performance of the telescope to best compensate for optical figure and/or finish errors resulting from the optical fabrication process. Our systems engineering analysis was then used to predict the increase in performance achieved by the re-optimization procedure. The image quality predictions are also compared with real X-ray test data from the SXI program to experimentally validate our system engineering analysis capability.
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Date Issued: 2005
Identifier: CFE0000428, ucf:46387
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000428

Title: MANY TELLING MOMENTS:THE ESSENCE OF FRAGMENTED IMAGE CULTURE.
Creator: Ebner, Bonnie, Haxton, David, University of Central Florida
Abstract / Description: My purpose in entering the UCF MFA program was to further explore and develop my passion for photography. During my time in the program, I developed my methodology--from having the traditional photography paradigm ingrained in my mind (and wanting to fit into it) to accepting and valuing my own unique process. I construct installations using diverse imagery and non-traditional presentation. In my installations, one may witness a reflection of the contemporary pace of image perception-...
Show moreMy purpose in entering the UCF MFA program was to further explore and develop my passion for photography. During my time in the program, I developed my methodology--from having the traditional photography paradigm ingrained in my mind (and wanting to fit into it) to accepting and valuing my own unique process. I construct installations using diverse imagery and non-traditional presentation. In my installations, one may witness a reflection of the contemporary pace of image perception--fragmented, complex, abundant, and disordered. Together, images and their arrangements are used to create a unified piece that satisfies a new system within apparent disorder. The resulting installations summon the sensation of thinking and processing information in a new way, allowing for re-contextualization of fragmented imagery. Technology has pushed photography to evolve. Previously held traditional notions of photography as art (e.g., "single telling moment" photographs and similar subject matter) are now being confronted by a vernacular of "many telling moments". The current state of the art world is in flux, and is greatly influenced by the faster pace set by technology; I coin our new vernacular Image Culture.
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Date Issued: 2008
Identifier: CFE0002116, ucf:47561
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002116

Title: KNOWLEDGE BASED MEASUREMENT OF ENHANCING BRAIN TISSUE IN ANISOTROPIC MR IMAGERY.
Creator: Leach, Eric, Shah, Mubarak, University of Central Florida
Abstract / Description: Medical Image Analysis has emerged as an important field in the computer vision community. In this thesis, two important issues in medical imaging are addressed and a solution for each is derived and synergistically combined as one coherent system. Firstly, a novel approach is proposed for High Resolution Volume (HRV) construction by combining different frequency components at multiple levels, which are separated by using a multi-resolution pyramid structure. Current clinical imaging...
Show moreMedical Image Analysis has emerged as an important field in the computer vision community. In this thesis, two important issues in medical imaging are addressed and a solution for each is derived and synergistically combined as one coherent system. Firstly, a novel approach is proposed for High Resolution Volume (HRV) construction by combining different frequency components at multiple levels, which are separated by using a multi-resolution pyramid structure. Current clinical imaging protocols make use of multiple orthogonal low resolution scans to measure the size of the tumor. The highly anisotropic data result in difficulty and even errors in tumor assessment. In previous approaches, simple interpolation has been used to construct HRVs from multiple low resolution volumes (LRVs), which fail when large inter-plane spacing is present. In our approach, Laplacian pyramids containing band-pass contents are first computed from registered LRVs. The Laplacian images are expanded in their low resolution axes separately and then fused at each level. A Gaussian pyramid is recovered from the fused Laplacian pyramid, where a volume at the bottom level of the Gaussian pyramid is the constructed HRV. The effectiveness of the proposed approach is validated by using simulated images. The method has also been applied to real clinical data and promising experimental results are demonstrated. Secondly, a new knowledge-based framework to automatically quantify the volume of enhancing tissue in brain MR images is proposed. Our approach provides an objective and consistent way to evaluate disease progression and assess the treatment plan. In our approach, enhanced regions are first located by comparing the difference between the aligned set of pre- and post-contrast T1 MR images. Since some normal tissues may also become enhanced by the administration of Gd-DTPA, using the intensity difference alone may not be able to distinguish normal tissue from the tumor. Thus, we propose a new knowledge-based method employing knowledge of anatomical structures from a probabilistic brain atlas and the prior distribution of brain tumor to identify the real enhancing tissue. Our approach has two main advantages. i) The results are invariant to the image contrast change due to the usage of the probabilistic knowledge-based framework. ii) Using the segmented regions instead of independent pixels facilitates an approach that is much less sensitive to small registration errors and image noise. The obtained results are compared to the ground truth for validation and it is shown that the proposed method can achieve accurate and consistent measurements.
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Date Issued: 2007
Identifier: CFE0001803, ucf:47378
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001803

body image (13)	+ -
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deep learning (3)	+ -
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Film Cooling (2)	+ -
Gas Turbine (2)	+ -
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