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- Title
- CREATING GEO-SPECIFIC ROAD DATABASES FROM AERIAL PHOTOS FOR DRIVING SIMULATION.
- Creator
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Guo, Dahai, Klee, Harold, University of Central Florida
- Abstract / Description
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Geo-specific road database development is important to a driving simulation system and a very labor intensive process. Road databases for driving simulation need high resolution and accuracy. Even though commercial software is available on the market, a lot of manual work still has to be done when the road crosssectional profile is not uniform. This research deals with geo-specific road databases development, especially for roads with non-uniform cross sections. In this research, the United...
Show moreGeo-specific road database development is important to a driving simulation system and a very labor intensive process. Road databases for driving simulation need high resolution and accuracy. Even though commercial software is available on the market, a lot of manual work still has to be done when the road crosssectional profile is not uniform. This research deals with geo-specific road databases development, especially for roads with non-uniform cross sections. In this research, the United States Geographical Survey (USGS) road information is used with aerial photos to accurately extract road boundaries, using image segmentation and data compression techniques. Image segmentation plays an important role in extracting road boundary information. There are numerous methods developed for image segmentation. Six methods have been tried for the purpose of road image segmentation. The major problems with road segmentation are due to the large variety of road appearances and the many linear features in roads. A method that does not require a database of sample images is desired. Furthermore, this method should be able to handle the complexity of road appearances. The proposed method for road segmentation is based on the mean-shift clustering algorithm and it yields a high accuracy. In the phase of building road databases and visual databases based on road segmentation results, the Linde-Buzo-Gray (LBG) vector quantization algorithm is used to identify repeatable cross section profiles. In the phase of texture mapping, five major uniform textures are considered - pavement, white marker, yellow marker, concrete and grass. They are automatically mapped to polygons. In the chapter of results, snapshots of road/visual database are presented.
Show less - Date Issued
- 2005
- Identifier
- CFE0000591, ucf:46472
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000591
- Title
- DESIGN AND ASSESSMENT OF COMPACT OPTICAL SYSTEMS TOWARDS SPECIAL EFFECTS IMAGING.
- Creator
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Chaoulov, Vesselin, Rolland, Jannick, University of Central Florida
- Abstract / Description
-
A main challenge in the field of special effects is to create special effects in real time in a way that the user can preview the effect before taking the actual picture or movie sequence. There are many techniques currently used to create computer-simulated special effects, however current techniques in computer graphics do not provide the option for the creation of real-time texture synthesis. Thus, while computer graphics is a powerful tool in the field of special effects, it is neither...
Show moreA main challenge in the field of special effects is to create special effects in real time in a way that the user can preview the effect before taking the actual picture or movie sequence. There are many techniques currently used to create computer-simulated special effects, however current techniques in computer graphics do not provide the option for the creation of real-time texture synthesis. Thus, while computer graphics is a powerful tool in the field of special effects, it is neither portable nor does it provide work in real-time capabilities. Real-time special effects may, however, be created optically. Such approach will provide not only real-time image processing at the speed of light but also a preview option allowing the user or the artist to preview the effect on various parts of the object in order to optimize the outcome. The work presented in this dissertation was inspired by the idea of optically created special effects, such as painterly effects, encoded in images captured by photographic or motion picture cameras. As part of the presented work, compact relay optics was assessed, developed, and a working prototype was built. It was concluded that even though compact relay optics can be achieved, further push for compactness and cost-effectiveness was impossible in the paradigm of bulk macro-optics systems. Thus, a paradigm for imaging with multi-aperture micro-optics was proposed and demonstrated for the first time, which constitutes one of the key contributions of this work. This new paradigm was further extended to the most general case of magnifying multi-aperture micro-optical systems. Such paradigm allows an extreme reduction in size of the imaging optics by a factor of about 10 and a reduction in weight by a factor of about 500. Furthermore, an experimental quantification of the feasibility of optically created special effects was completed, and consequently raytracing software was developed, which was later commercialized by SmARTLens(TM). While the art forms created via raytracing were powerful, they did not predict all effects acquired experimentally. Thus, finally, as key contribution of this work, the principles of scalar diffraction theory were applied to optical imaging of extended objects under quasi-monochromatic incoherent illumination in order to provide a path to more accurately model the proposed optical imaging process for special effects obtained in the hardware. The existing theoretical framework was generalized to non-paraxial in- and out-of-focus imaging and results were obtained to verify the generalized framework. In the generalized non-paraxial framework, even the most complex linear systems, without any assumptions for shift invariance, can be modeled and analyzed.
Show less - Date Issued
- 2005
- Identifier
- CFE0000513, ucf:46447
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000513
- Title
- ASSESSING THE IMPACT OF MOVIES UPON AN INDIVIDUAL'S IMAGE FORMATION CONCERNING A GIVEN DESTINATION.
- Creator
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Hahm, Jeeyeon, Upchurch, Randall, University of Central Florida
- Abstract / Description
-
The process of watching a movie is a common way to be entertained in this day and age. There are multiple ways in which people can enjoy a movie ranging from the big screen at a commercial theater, on their home's television, or even in a car while driving. One outcome associated with watching a destination movie might be that the viewer will be compelled to visit or not the location portrayed in the movie. It is a primary assumption of this thesis that movies have the ability to create or...
Show moreThe process of watching a movie is a common way to be entertained in this day and age. There are multiple ways in which people can enjoy a movie ranging from the big screen at a commercial theater, on their home's television, or even in a car while driving. One outcome associated with watching a destination movie might be that the viewer will be compelled to visit or not the location portrayed in the movie. It is a primary assumption of this thesis that movies have the ability to create or change an individual's image of a destination by its portrayal within the motion picture. This study was conducted in an effort to examine this global phenomenon called movie tourism and contribute to the tourism literature. This study focused on determining the differences between pre and post measures resulting from watching a destination specific movie. The research method was a pretest-posttest experimental design conducted to a convenience sample of 247 hospitality management students enrolled in a major metropolitan university located in the southeastern portion of the United States. The research instrument was a pre and posttest questionnaire that included structured and unstructured questions in order to capture the complex destination image. The treatment between the pre and posttest was a destination specific movie. A 100% response rate was obtained from the pretest group and a 99.2% response rate from the posttest group. Results of the study revealed that: 1) certain perceived destination images were different before and after the movie; 2) level of interest in visiting the destination was not different before and after the movie; 3) destination image had a positive relationship with the level of interest in visiting the destination; and 4) certain audience characteristics had an impact on destination image and interest in visiting the location. Implications, limitations, and suggestions for future research are discussed in the final chapter.
Show less - Date Issued
- 2004
- Identifier
- CFE0000117, ucf:46196
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000117
- Title
- Development of a Tabletop Coherent Soft X-ray Source.
- Creator
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Kong, Hanfu, Chang, Zenghu, Yu, Xiaoming, Neupane, Madhab, University of Central Florida
- Abstract / Description
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The goal of this thesis is to design a tabletop coherent soft X-ray source for attosecond high resolution imaging. We collect signals from gas cells with different length and lens with different focal length. A spectrometer with a grating and a CCD camera is applied to observe and measure the spectrum of the X-ray attosecond pulses. This thesis first introduces the theory background of ultrafast lasers, then mainly explains high harmonic generation, which is the key method for attosecond...
Show moreThe goal of this thesis is to design a tabletop coherent soft X-ray source for attosecond high resolution imaging. We collect signals from gas cells with different length and lens with different focal length. A spectrometer with a grating and a CCD camera is applied to observe and measure the spectrum of the X-ray attosecond pulses. This thesis first introduces the theory background of ultrafast lasers, then mainly explains high harmonic generation, which is the key method for attosecond pulses generation, subsequently presents the experiment system and analyzes the results from the experiment, also compares different combinations of parameters of the devices.
Show less - Date Issued
- 2018
- Identifier
- CFE0007407, ucf:52732
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007407
- Title
- Optimization Algorithms for Deep Learning Based Medical Image Segmentations.
- Creator
-
Mortazi, Aliasghar, Bagci, Ulas, Shah, Mubarak, Mahalanobis, Abhijit, Pensky, Marianna, University of Central Florida
- Abstract / Description
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Medical image segmentation is one of the fundamental processes to understand and assess the functionality of different organs and tissues as well as quantifying diseases and helping treatmentplanning. With ever increasing number of medical scans, the automated, accurate, and efficient medical image segmentation is as unmet need for improving healthcare. Recently, deep learn-ing has emerged as one the most powerful methods for almost all image analysis tasks such as segmentation, detection,...
Show moreMedical image segmentation is one of the fundamental processes to understand and assess the functionality of different organs and tissues as well as quantifying diseases and helping treatmentplanning. With ever increasing number of medical scans, the automated, accurate, and efficient medical image segmentation is as unmet need for improving healthcare. Recently, deep learn-ing has emerged as one the most powerful methods for almost all image analysis tasks such as segmentation, detection, and classification and so in medical imaging. In this regard, this dissertation introduces new algorithms to perform medical image segmentation for different (a) imaging modalities, (b) number of objects, (c) dimensionality of images, and (d) under varying labelingconditions. First, we study dimensionality problem by introducing a new 2.5D segmentation engine that can be used in single and multi-object settings. We propose new fusion strategies and loss functions for deep neural networks to generate improved delineations. Later, we expand the proposed idea into 3D and 4D medical images and develop a "budget (computational) friendly"architecture search algorithm to make this process self-contained and fully automated without scarifying accuracy. Instead of manual architecture design, which is often based on plug-in and out and expert experience, the new algorithm provides an automated search of successful segmentation architecture within a short period of time. Finally, we study further optimization algorithms on label noise issue and improve overall segmentation problem by incorporating prior information about label noise and object shape information. We conclude the thesis work by studying different network and hyperparameter optimization settings that are fine-tuned for varying conditions for medical images. Applications are chosen from cardiac scans (images) and efficacy of the proposed algorithms are demonstrated on several data sets publicly available, and independently validated by blind evaluations.
Show less - Date Issued
- 2019
- Identifier
- CFE0007841, ucf:52825
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007841
- Title
- Tessellation for computer image generation.
- Creator
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Panzitta, Michael James, Bauer, Christian S., Engineering
- Abstract / Description
-
University of Central Florida College of Engineering Thesis; Of the vast number of algorithms used in modern computer image generation, most rely upon data bases comprised of polygons. This becomes a severe impediment when curved objects must be modeled and displayed with an acceptable level of speed and accuracy. A technique is needed to provide a means of modeling curved surfaces, storing them in a data base, and displaying them using existing algorithms. Tessellation is one method of...
Show moreUniversity of Central Florida College of Engineering Thesis; Of the vast number of algorithms used in modern computer image generation, most rely upon data bases comprised of polygons. This becomes a severe impediment when curved objects must be modeled and displayed with an acceptable level of speed and accuracy. A technique is needed to provide a means of modeling curved surfaces, storing them in a data base, and displaying them using existing algorithms. Tessellation is one method of achieving such goals.
Show less - Date Issued
- 1987
- Identifier
- CFR0001375, ucf:52922
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFR0001375
- Title
- Techniques for boosting the performance in Content-Based Image Retrieval Systems.
- Creator
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Yu, Ning, Hua, Kien, Hughes, Charles, Dutton, Ronald, Wang, Chung-Ching, University of Central Florida
- Abstract / Description
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Content-Based Image Retrieval has been an active research area for decades. In a CBIR system, one or more images are used as query to search for similar images. The similarity is measured on the low level features, such as color, shape, edge, texture. First, each image is processed and visual features are extracted. Therefore each image becomes a point in the feature space. Then, if two images are close to each other in the feature space, they are considered similar. That is, the k nearest...
Show moreContent-Based Image Retrieval has been an active research area for decades. In a CBIR system, one or more images are used as query to search for similar images. The similarity is measured on the low level features, such as color, shape, edge, texture. First, each image is processed and visual features are extracted. Therefore each image becomes a point in the feature space. Then, if two images are close to each other in the feature space, they are considered similar. That is, the k nearest neighbors are considered the most similar images to the query image. In this K-Nearest Neighbor (k-NN) model, semantically similar images are assumed to be clustered together in a single neighborhood in the high-dimensional feature space. Unfortunately semantically similar images with different appearances are often clustered into distinct neighborhoods, which might scatter in the feature space. Hence, confinement of the search results to a single neighborhood is the latent reason of the low recall rate of typical nearest neighbor techniques. In this dissertation, a new image retrieval technique - the Query Decomposition (QD) model is introduced. QD facilitates retrieval of semantically similar images from multiple neighborhoods in the feature space and hence bridges the semantic gap between the images' low-level feature and the high-level semantic meaning. In the QD model, a query may be decomposed into multiple subqueries based on the user's relevance feedback to cover multiple image clusters which contain semantically similar images. The retrieval results are the k most similar images from multiple discontinuous relevant clusters. To apply the benefit from QD study, a mobile client-side relevance feedback study was conducted. With the proliferation of handheld devices, the demand of multimedia information retrieval on mobile devices has attracted more attention. A relevance feedback information retrieval process usually includes several rounds of query refinement. Each round incurs exchange of tens of images between the mobile device and the server. With limited wireless bandwidth, this process can incur substantial delay making the system unfriendly to use. The Relevance Feedback Support (RFS) structure that was designed in QD technique was adopted for Client-side Relevance Feedback (CRF). Since relevance feedback is done on client side, system response is instantaneous significantly enhancing system usability. Furthermore, since the server is not involved in relevance feedback processing, it is able to support thousands more users simultaneously. As the QD technique improves on the accuracy of CBIR systems, another study, which is called In-Memory relevance feedback is studied in this dissertation. In the study, we improved the efficiency of the CBIR systems. Current methods rely on searching the database, stored on disks, in each round of relevance feedback. This strategy incurs long delay making relevance feedback less friendly to the user, especially for very large databases. Thus, scalability is a limitation of existing solutions. The proposed in-memory relevance feedback technique substantially reduce the delay associated with feedback processing, and therefore improve system usability. A data-independent dimensionality-reduction technique is used to compress the metadata to build a small in-memory database to support relevance feedback operations with minimal disk accesses. The performance of this approach is compared with conventional relevance feedback techniques in terms of computation efficiency and retrieval accuracy. The results indicate that the new technique substantially reduces response time for user feedback while maintaining the quality of the retrieval. In the previous studies, the QD technique relies on a pre-defined Relevance SupportSupport structure. As the result and user experience indicated that the structure might confine the search range and affect the result. In this dissertation, a novel Multiple Direction Search framework for semi-automatic annotation propagation is studied. In this system, the user interacts with the system to provide example images and the corresponding annotations during the annotation propagation process. In each iteration, the example images are dynamically clustered and the corresponding annotations are propagated separately to each cluster: images in the local neighborhood are annotated. Furthermore, some of those images are returned to the user for further annotation. As the user marks more images, the annotation process goes into multiple directions in the feature space. The query movements can be treated as multiple path navigation. Each path could be further split based on the user's input. In this manner, the system provides accurate annotation assistance to the user - images with the same semantic meaning but different visual characteristics can be handled effectively. From comprehensive experiments on Corel and U. of Washington image databases, the proposed technique shows accuracy and efficiency on annotating image databases.
Show less - Date Issued
- 2011
- Identifier
- CFE0004182, ucf:49058
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004182
- Title
- SOCIAL COMPARISON, SELF-OBJECTIFICATION, AND OBJECTIFICATION OF OTHERS: INVESTIGATING THE VICIOUS CYCLE THAT LEADS TO BODY DISSATISFACTION AND DISORDERED EATING.
- Creator
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Lindner, Danielle, Dunn, Stacey, University of Central Florida
- Abstract / Description
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The purpose of this study was to test a new theoretical model that integrates self-objectification, objectification of others, and social comparison as contributors to the development and maintenance of body image disturbance and disordered eating behavior. Within the new theoretical model, self-objectification, objectification of others, and social comparison are conceptualized as a self-perpetuating cycle, rather than as processes that occur independently of one another. Four hundred fifty...
Show moreThe purpose of this study was to test a new theoretical model that integrates self-objectification, objectification of others, and social comparison as contributors to the development and maintenance of body image disturbance and disordered eating behavior. Within the new theoretical model, self-objectification, objectification of others, and social comparison are conceptualized as a self-perpetuating cycle, rather than as processes that occur independently of one another. Four hundred fifty-nine female college students between the ages of 18 and 32 completed measures of self-objectification, objectification of others, social comparison, body shame, body dissatisfaction, and eating disorder symptomatology. Structural equation modeling with nested model comparisons was used to examine the fit of the new theoretical model relative to less complex models which contain only relationships which have received previous attention in the research literature (e.g., the relationship between self-objectification and body shame). Results indicated that the new theoretical model demonstrates good fit for the data and that the fit of this model is significantly better than the original model suggested by the literature. Hierarchical multiple regression and mediational analyses also provided support for the interplay between objectification and social comparison. Implications for clinical work as well as theory and measurement will be discussed.
Show less - Date Issued
- 2010
- Identifier
- CFE0003492, ucf:48938
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003492
- Title
- Non-Destructive Evaluation of Concrete Structures Using High Resolution Digital Image and Infrared Thermography Technology.
- Creator
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Watase, Azusa, Catbas, Fikret, Tatari, Mehmet, Nam, Boo Hyun, University of Central Florida
- Abstract / Description
-
As existing bridge structures age, they are susceptible to the effects of deterioration, damage and other deleterious processes. These effects hamper the capacity and efficiency of transportation networks and adversely impact local, regional and national economic growth. As a result, bridge authorities and other professionals have become more sensitive to maintenance issues related to this aging infrastructure. While highway bridge condition have been monitored by visual inspection, non...
Show moreAs existing bridge structures age, they are susceptible to the effects of deterioration, damage and other deleterious processes. These effects hamper the capacity and efficiency of transportation networks and adversely impact local, regional and national economic growth. As a result, bridge authorities and other professionals have become more sensitive to maintenance issues related to this aging infrastructure. While highway bridge condition have been monitored by visual inspection, non-destructive evaluation (NDE) technologies have also been developing and they are expected to be utilized for effective management of highway bridges or other civil infrastructure systems. Efficient use of these technologies saves time spent or bridge inspections, and also helps the bridge authorities for management decision-making. One of the NDE technologies is the image-based technology. In this thesis research, image-based technologies using high resolution digital images (HRDI) and infrared thermography image (IRTI) are introduced, described and implemented.First, a review of the mechanisms of these technologies is presented. Due to the specific engineering utilization and recent technological development, there is a need to validate effectiveness of HRDI and IRTI for their practical use for engineering purpose. For this reason, a pilot project using these technologies was conducted at an in-service bridge and a parking structure with the support of Florida Department of Transportation District 5 and the results are presented in this thesis. Secondly, in order to explore and enhance the usability of infrared thermography technology (IRTI), experiments on campus and on another bridge were conducted to determine the best time to test bridges and the sensitivity of IRTI to delamination volume. Since the accuracy of damage detection using infrared thermography technology is greatly affected by daily temperature variation, it is quite important to estimate an appropriate duration for infrared thermography inspection prior to the inspection. However, in current practice, the way to estimate the duration is to monitor the temperature of the concrete surface. Since the temperature varies depending on the area or region, there is a need to visit the bridge before the actual test and monitor the temperature variation. This requires additional visits to the bridge site and also access to the bridge for measuring concrete temperature. Sometimes, this can be a practical issue. In this research, in order to estimate an appropriate duration without visiting bridges, a practical method is explored by monitoring and analyzing variation of concrete surface temperature at one location and projected to another location by also incorporating other factors that affect the concrete temperature, such as air temperature and humidity. For this analysis, specially-designed concrete plates of a few types of thickness and shapes are used and the regression analysis is employed to establish a relationship between environmental effects and temperature variation between two different sites. The results have been promising for this research study and it is shown that HRDI and IRTI are excellent technologies for assessing concrete structures in a very practical manner.
Show less - Date Issued
- 2013
- Identifier
- CFE0004956, ucf:49581
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004956
- Title
- Applications of Compressive Sensing To Surveillance Problems.
- Creator
-
Huff, Christopher, Mohapatra, Ram, Sun, Qiyu, Han, Deguang, University of Central Florida
- Abstract / Description
-
In many surveillance scenarios, one concern that arises is how to construct an imager that is capable of capturing the scene with high fidelity. This could be problematic for two reasons: first, the optics and electronics in the camera may have difficulty in dealing with so much information; secondly, bandwidth constraints, may pose difficulty in transmitting information from the imager to the user efficiently for reconstruction or realization. In this thesis, we will discuss a mathematical...
Show moreIn many surveillance scenarios, one concern that arises is how to construct an imager that is capable of capturing the scene with high fidelity. This could be problematic for two reasons: first, the optics and electronics in the camera may have difficulty in dealing with so much information; secondly, bandwidth constraints, may pose difficulty in transmitting information from the imager to the user efficiently for reconstruction or realization. In this thesis, we will discuss a mathematical framework that is capable of skirting the two aforementioned issues. This framework is rooted in a technique commonly referred to as compressive sensing. We will explore two of the seminal works in compressive sensing and will present the key theorems and definitions from these two papers. We will then survey three different surveillance scenarios and their respective compressive sensing solutions. The original contribution of this thesis is the development of a distributed compressive sensing model.
Show less - Date Issued
- 2012
- Identifier
- CFE0004317, ucf:49473
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004317
- Title
- APPLICATION OF ANTENNA SYNTHESIS AND DIGITAL SIGNAL PROCESSING TECHNIQUES FOR ACTIVE MILLIMETER-WAVE IMAGING SYSTEMS.
- Creator
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Caba, Wilson, Boreman, Glenn, University of Central Florida
- Abstract / Description
-
Millimeter-wave imaging has gathered attention in recent years for its ability to penetrate clothing, thin layers of soils, and certain construction materials. However, image quality remains a challenge that needs to be addressed. One way of improving image quality is by increasing the dimensions of the collecting aperture. A sparse array can be used to synthesize a larger aperture with a limited set of relatively small detectors. In this research we design, build, and test a test-bed having...
Show moreMillimeter-wave imaging has gathered attention in recent years for its ability to penetrate clothing, thin layers of soils, and certain construction materials. However, image quality remains a challenge that needs to be addressed. One way of improving image quality is by increasing the dimensions of the collecting aperture. A sparse array can be used to synthesize a larger aperture with a limited set of relatively small detectors. In this research we design, build, and test a test-bed having an active source at 94 GHz and an array of coherent detectors, mounted on arms that extend radially on a rotary table. Using this test bed a circular area with a maximum diameter of 900 mm can be scanned. The signal is down-converted using heterodyne receivers with digital in-phase and quadrature detection. Signal correlation is performed using the digitized data, which is stored for post-processing, electronic focusing, and image reconstruction. Near-field imaging using interferometric reconstructions is achieved using electronic focusing. Imaging tests show the ability of the system to generate imagery of concealed and unconcealed objects at distances between 400 and 700 mm. A study of the effects of redundant and non-redundant configurations on image quality for 4 common detector configurations is presented. In this document we show that an active sparse-aperture imaging system using digital correlators is a viable way to generate millimeter-wave images.
Show less - Date Issued
- 2010
- Identifier
- CFE0003406, ucf:48429
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003406
- Title
- NON-EROTIC COGNITIVE DISTRACTIONS DURING SEXUAL ACTIVITY IN HETEROSEXUAL AND GAY COLLEGE STUDENTS.
- Creator
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Lacefield, Katharine, Negy, Charles, University of Central Florida
- Abstract / Description
-
The present study examined 100 gay and lesbian (LG) college students and 100 heterosexual students to determine whether group differences existed in frequency of and anxiety related to non-erotic cognitive distractions during sexual activity. Non-erotic cognitive distractions is a descriptive term for both self-evaluative cognitions related to physical performance and body image concerns, as well as additional cognitive distractions (e.g., contracting an STI or emotional concerns) during...
Show moreThe present study examined 100 gay and lesbian (LG) college students and 100 heterosexual students to determine whether group differences existed in frequency of and anxiety related to non-erotic cognitive distractions during sexual activity. Non-erotic cognitive distractions is a descriptive term for both self-evaluative cognitions related to physical performance and body image concerns, as well as additional cognitive distractions (e.g., contracting an STI or emotional concerns) during sexual activity. Participants, matched on gender (96 males and 104 females), age, and ethnicity, completed questionnaires assessing frequency and associated anxiety related to non-erotic cognitive distractions during sexual activity, as well as measures of additional variables (e.g., religiosity and self-esteem). Results indicated that LG participants experience significantly more cognitive distractions and concomitant anxiety related to body image, physical performance, and contracting a disease or illness during sexual activity. With regard to gender differences, men reported more distractions related to contracting a disease or illness than women. An interaction effect was observed between sexual orientation and gender for body image-, disease-, and external/emotional-based distractions. It also was found that gay men, lesbians, and heterosexual women reported significantly more body image concerns than straight men. Implications of these findings are discussed.
Show less - Date Issued
- 2010
- Identifier
- CFE0003068, ucf:48306
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003068
- Title
- PERCEPTUAL IMAGE QUALITY OF LAUNCHVEHICLE IMAGING TELESCOPES.
- Creator
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Lentz, Joshua, Harvey, James, University of Central Florida
- Abstract / Description
-
A large fleet (in the hundreds) of high quality telescopes are used for tracking and imaging of launch vehicles during ascent from Cape Canaveral Air Force Station and Kennedy Space Center. A maintenance tool has been development for use with these telescopes. The tool requires rankings of telescope condition in terms of the ability to generate useful imagery. It is thus a case of ranking telescope conditions on the basis of the perceptual image quality of their imagery. Perceptual image...
Show moreA large fleet (in the hundreds) of high quality telescopes are used for tracking and imaging of launch vehicles during ascent from Cape Canaveral Air Force Station and Kennedy Space Center. A maintenance tool has been development for use with these telescopes. The tool requires rankings of telescope condition in terms of the ability to generate useful imagery. It is thus a case of ranking telescope conditions on the basis of the perceptual image quality of their imagery. Perceptual image quality metrics that are well-correlated to observer opinions of image quality have been available for several decades. However, these are quite limited in their applications, not being designed to compare various optical systems. The perceptual correlation of the metrics implies that a constant image quality curve (such as the boundary between two qualitative categories labeled as excellent and good) would have a constant value of the metric. This is not the case if the optical system parameters (such as object distance or aperture diameter) are varied. No published data on such direct variation is available and this dissertation presents an investigation made into the perceptual metric responses as system parameters are varied. This investigation leads to some non-intuitive conclusions. The perceptual metrics are reviewed as well as more common metrics and their inability to perform in the necessary manner for the research of interest. Perceptual test methods are also reviewed, as is the human visual system. Image formation theory is presented in a non-traditional form, yielding the surprising result that perceptual image quality is invariant under changes in focal length if the final displayed image remains constant. Experimental results are presented of changes in perceived image quality as aperture diameter is varied. Results are analyzed and shortcomings in the process and metrics are discussed. Using the test results, predictions are made about the form of the metric response to object distance variations, and subsequent testing was conducted to validate the predictions. The utility of the results, limitations of applicability, and the immediate ability to further generalize the results is presented.
Show less - Date Issued
- 2011
- Identifier
- CFE0003899, ucf:48731
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003899
- Title
- An investigation into a least squares method for image registration.
- Creator
-
Cordon, Ernest William, Patz, B.W., Engineering
- Abstract / Description
-
Florida Technological University College of Engineering Thesis; One of the problems associated with the automatic image processing of satellite photographs such as weather maps is the need for image registration; that is, the fitting of a map that has some translational and rotational bias to a known data base. This paper investigates a least square method of image registration using an image that has been converted into a boundary map with a pixel representation 1 for land, -1 for water and...
Show moreFlorida Technological University College of Engineering Thesis; One of the problems associated with the automatic image processing of satellite photographs such as weather maps is the need for image registration; that is, the fitting of a map that has some translational and rotational bias to a known data base. This paper investigates a least square method of image registration using an image that has been converted into a boundary map with a pixel representation 1 for land, -1 for water and zero for cloud pixels. A sampled correlation array is constructed by shifting the weather map to locations on a given grid, centered around a sampled correlation peak, and performing an accumulation of the pixel-by-pixel comparisons between the weather map and its data base over the whole map or a smaller search window. A least square approximation 0 f the translational and rotational bias is performed using the data from this sampled correlation array, fitted against the shape of an elliptical cone.
Show less - Date Issued
- 1978
- Identifier
- CFR0003516, ucf:53005
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFR0003516
- Title
- Realization of a fast automatic correlation algorithm for registration of satellite images.
- Creator
-
Kassak, John E., Patz, B.W., Engineering
- Abstract / Description
-
Florida Technological University College of Engineering Thesis; The requirement for a fast automated correlation algorithm for registration of satellite images is discussed. An overview of current registration techniques is presented indicating a correlator, matching binary maps compressed from the original imagery, may provide the required throughput when implemented with a dedicated hardware/processor. An actual registration problem utilizing GOES digitally processed imagery is chosen and...
Show moreFlorida Technological University College of Engineering Thesis; The requirement for a fast automated correlation algorithm for registration of satellite images is discussed. An overview of current registration techniques is presented indicating a correlator, matching binary maps compressed from the original imagery, may provide the required throughput when implemented with a dedicated hardware/processor. An actual registration problem utilizing GOES digitally processed imagery is chosen and defined. The realization of a fast correlator, matching image input data with sampled data base reference image data in real time is considered.
Show less - Date Issued
- 1978
- Identifier
- CFR0003495, ucf:53010
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFR0003495
- Title
- Studying Short-Period Comets and Long-Period Comets Detected by WISE/NEOWISE.
- Creator
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Kramer, Emily, Fernandez, Yan, Colwell, Joshua, Kokoouline, Viatcheslav, Klemm, Richard, Lisse, Carey, University of Central Florida
- Abstract / Description
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The Wide-field Infrared Survey Explorer (WISE) mission surveyed the sky in four infrared wavelength bands (3.4, 4.6, 12 and 22 ?m) between January 2010 and February 2011. During the mission, WISE serendipitously observed 160 comets, including 21 newly discovered objects. About 89 of the comets observed by WISE displayed a significant dust tail in the 12 and 22 ?m (thermal emission) bands, showing a wide range of activity levels and dust morphology. Since the observed objects are a mix of both...
Show moreThe Wide-field Infrared Survey Explorer (WISE) mission surveyed the sky in four infrared wavelength bands (3.4, 4.6, 12 and 22 ?m) between January 2010 and February 2011. During the mission, WISE serendipitously observed 160 comets, including 21 newly discovered objects. About 89 of the comets observed by WISE displayed a significant dust tail in the 12 and 22 ?m (thermal emission) bands, showing a wide range of activity levels and dust morphology. Since the observed objects are a mix of both long-period comets (LPCs) and short-period comets (SPCs), differences in their activity can be used to better understand the thermal evolution that each of these populations has undergone. For the comets that displayed a significant dust tail, we have estimated the sizes and ages of the particles using dynamical models based on the Finson-Probstein method [Finson and Probstein, 1968]. For a selection of 40 comets, we have then compared these models to the data using a novel tail-fitting method that allows the best-fit model to be chosen analytically rather than subjectively. For comets that were observed multiple times by WISE, the particle properties were estimated separately, and then compared. We find that the dust tails of both LPCs and SPCs are primarily comprised of ?mm-cm sized particles, which were the result of emission that occurred several months to several years prior to the observations. The LPCs nearly all have strong emission close to the comet's perihelion distance, and the SPCs mostly have strong emission close to perihelion, but some have strong emission well before perihelion.
Show less - Date Issued
- 2014
- Identifier
- CFE0005823, ucf:50938
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005823
- Title
- The Development and Psychometric Evaluation of a New Measure of Self-Objectification.
- Creator
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Lindner, Danielle, Dunn, Stacey, Negy, Charles, Jentsch, Florian, University of Central Florida
- Abstract / Description
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Researchers have traditionally used two measures of self-objectification, the Self-Objectification Questionnaire (Noll (&) Fredrickson, 1998) and the Objectified Body Consciousness Body Surveillance subscale (McKinley (&) Hyde, 1996), to demonstrate that self-objectification is related to body shame and dissatisfaction, appearance anxiety, decreased awareness of internal states, decreased flow experiences, disordered eating, depression and sexual dysfunction. Although the SOQ and OBC have...
Show moreResearchers have traditionally used two measures of self-objectification, the Self-Objectification Questionnaire (Noll (&) Fredrickson, 1998) and the Objectified Body Consciousness Body Surveillance subscale (McKinley (&) Hyde, 1996), to demonstrate that self-objectification is related to body shame and dissatisfaction, appearance anxiety, decreased awareness of internal states, decreased flow experiences, disordered eating, depression and sexual dysfunction. Although the SOQ and OBC have been used widely, they also have several limitations, including problems with missing data, lack of generalizability, and concerns about content validity. The purpose of this study was to develop and validate a new measure of self-objectification called the Self-Objectification Beliefs and Behaviors Scale (SOBBS). Male and female college students (473 women and 202 men) completed an online questionnaire including a pool of items designed to measure self-objectification. The item pool was constructed through focus groups and consultation with subject matter experts. Participants also completed two existing measures of self-objectification and related constructs (i.e., interpersonal sexual objectification, body image, disordered eating behavior, depressive symptoms, and sexual functioning), and a subset of participants completed the new measure at a two-week interval. A 12-item, 2-factor measure of self-objectification was derived through exploratory factor analysis. Overall, the newly developed measure demonstrated excellent internal consistency and test-retest reliability. Data also supported the convergent, discriminant, and incremental validity of the scale as a measure of self-objectification for women and men. Implications for research in the area of self-objectification and for the prevention and treatment of eating disorders will be discussed.
Show less - Date Issued
- 2014
- Identifier
- CFE0005367, ucf:50490
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005367
- Title
- Curvelets and the Radon Transform.
- Creator
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Dickerson, Jill, Katsevich, Alexander, Tamasan, Alexandru, Moore, Brian, University of Central Florida
- Abstract / Description
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Computed Tomography (CT) is the standard in medical imaging field. In this study, we look at the curvelet transform in an attempt to use it as a basis for representing a function. In doing so, we seek a way to reconstruct a function from the Radon data that may produce clearer results. Using curvelet decomposition, any known function can be represented as a sum of curvelets with corresponding coefficients. It can be shown that these corresponding coefficients can be found using the Radon data...
Show moreComputed Tomography (CT) is the standard in medical imaging field. In this study, we look at the curvelet transform in an attempt to use it as a basis for representing a function. In doing so, we seek a way to reconstruct a function from the Radon data that may produce clearer results. Using curvelet decomposition, any known function can be represented as a sum of curvelets with corresponding coefficients. It can be shown that these corresponding coefficients can be found using the Radon data, even if the function is unknown. The use of curvelets has the potential to solve partial or truncated Radon data problems. As a result, using a curvelet representation to invert radon data allows the chance of higher quality images to be produced. This paper examines this method of reconstruction for computed tomography (CT). A brief history of CT, an introduction to the theory behind the method, and implementation details will be provided.
Show less - Date Issued
- 2013
- Identifier
- CFE0004674, ucf:49852
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004674
- Title
- IMAGE-BASED MATERIAL EDITING.
- Creator
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Khan, Erum, Reinhard, Erik, University of Central Florida
- Abstract / Description
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Photo editing software allows digital images to be blurred, warped or re-colored at the touch of a button. However, it is not currently possible to change the material appearance of an object except by painstakingly painting over the appropriate pixels. Here we present a set of methods for automatically replacing one material with another, completely different material, starting with only a single high dynamic range image, and an alpha matte specifying the object. Our approach exploits the...
Show morePhoto editing software allows digital images to be blurred, warped or re-colored at the touch of a button. However, it is not currently possible to change the material appearance of an object except by painstakingly painting over the appropriate pixels. Here we present a set of methods for automatically replacing one material with another, completely different material, starting with only a single high dynamic range image, and an alpha matte specifying the object. Our approach exploits the fact that human vision is surprisingly tolerant of certain (sometimes enormous) physical inaccuracies. Thus, it may be possible to produce a visually compelling illusion of material transformations, without fully reconstructing the lighting or geometry. We employ a range of algorithms depending on the target material. First, an approximate depth map is derived from the image intensities using bilateral filters. The resulting surface normals are then used to map data onto the surface of the object to specify its material appearance. To create transparent or translucent materials, the mapped data are derived from the object's background. To create textured materials, the mapped data are a texture map. The surface normals can also be used to apply arbitrary bidirectional reflectance distribution functions to the surface, allowing us to simulate a wide range of materials. To facilitate the process of material editing, we generate the HDR image with a novel algorithm, that is robust against noise in individual exposures. This ensures that any noise, which would possibly have affected the shape recovery of the objects adversely, will be removed. We also present an algorithm to automatically generate alpha mattes. This algorithm requires as input two images--one where the object is in focus, and one where the background is in focus--and then automatically produces an approximate matte, indicating which pixels belong to the object. The result is then improved by a second algorithm to generate an accurate alpha matte, which can be given as input to our material editing techniques.
Show less - Date Issued
- 2006
- Identifier
- CFE0001462, ucf:47065
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001462
- Title
- Visionary Ophthalmics: Confluence of Computer Vision and Deep Learning for Ophthalmology.
- Creator
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Morley, Dustin, Foroosh, Hassan, Bagci, Ulas, Gong, Boqing, Mohapatra, Ram, University of Central Florida
- Abstract / Description
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Ophthalmology is a medical field ripe with opportunities for meaningful application of computer vision algorithms. The field utilizes data from multiple disparate imaging techniques, ranging from conventional cameras to tomography, comprising a diverse set of computer vision challenges. Computer vision has a rich history of techniques that can adequately meet many of these challenges. However, the field has undergone something of a revolution in recent times as deep learning techniques have...
Show moreOphthalmology is a medical field ripe with opportunities for meaningful application of computer vision algorithms. The field utilizes data from multiple disparate imaging techniques, ranging from conventional cameras to tomography, comprising a diverse set of computer vision challenges. Computer vision has a rich history of techniques that can adequately meet many of these challenges. However, the field has undergone something of a revolution in recent times as deep learning techniques have sprung into the forefront following advances in GPU hardware. This development raises important questions regarding how to best leverage insights from both modern deep learning approaches and more classical computer vision approaches for a given problem. In this dissertation, we tackle challenging computer vision problems in ophthalmology using methods all across this spectrum. Perhaps our most significant work is a highly successful iris registration algorithm for use in laser eye surgery. This algorithm relies on matching features extracted from the structure tensor and a Gabor wavelet (-) a classically driven approach that does not utilize modern machine learning. However, drawing on insight from the deep learning revolution, we demonstrate successful application of backpropagation to optimize the registration significantly faster than the alternative of relying on finite differences. Towards the other end of the spectrum, we also present a novel framework for improving RANSAC segmentation algorithms by utilizing a convolutional neural network (CNN) trained on a RANSAC-based loss function. Finally, we apply state-of-the-art deep learning methods to solve the problem of pathological fluid detection in optical coherence tomography images of the human retina, using a novel retina-specific data augmentation technique to greatly expand the data set. Altogether, our work demonstrates benefits of applying a holistic view of computer vision, which leverages deep learning and associated insights without neglecting techniques and insights from the previous era.
Show less - Date Issued
- 2018
- Identifier
- CFE0007058, ucf:52001
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007058
