In this study, we investigated what informational aspects of faces could account for the ability to match an individual’s face to their voice, using only static images. In each of the first six experiments, we simultaneously presented one voice recording along with two manipulated images of faces (e.g. top half of the face, bottom half of the face, etc.), a target face and distractor face. The participant’s task was to choose which of the images they thought belonged to the same individual as the voice recording. The voices remained un-manipulated. In Experiment 7 we used eye tracking in order to determine which informational aspects of the model’s faces people are fixating while performing the matching task, as compared to where they fixate when there are no immediate task demands. We presented a voice recording followed by two static images, a target and distractor face. The participant’s task was to choose which of the images they thought belonged to the same individual as the voice recording, while we tracked their total fixation duration. In the no-task, passive viewing condition, we presented a male’s voice recording followed sequentially by two static images of female models, or vice versa, counterbalanced across participants. Participant’s results revealed significantly better than chance performance in the matching task when the images presented were the bottom half of the face, the top half of the face, the images inverted upside down, when presented with a low pass filtered image of the face, and when the inner face was completely blurred out. In Experiment 7 we found that when completing the matching task, the time spent looking at the outer area of the face increased, as compared to when the images and voice recordings were passively viewed. When the images were passively viewed, the time spend looking at the inner area of the face increased. We concluded that the inner facial features (i.e. eyes, nose, and mouth) are not necessary informational aspects of the face which allow for the matching ability. The ability likely relies on global features such as the face shape and size. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection

Video signature techniques based on tomography images address the problem of video identification. This method relies on temporal segmentation and sampling strategies to build and determine the unique elements that will form the signature. In this thesis an extension for these methods is presented; first a new feature extraction method, derived from the previously proposed sampling pattern, is implemented and tested, resulting in a highly distinctive set of signature elements, second a robust temporal video segmentation system is used to replace the original method applied to determine shot changes more accurately. Under a very exhaustive set of tests the system was able to achieve 99.58% of recall, 100% of precision and 99.35% of prediction precision. / by Sebastian Possos Medellin. / Thesis (M.S.C.S.)--Florida Atlantic University, 2010. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.

This dissertation introduces our work on face recognition using a novel approach based on creating 3D face model from 2D face images. Together with the pose angle estimation and illumination compensation, this method can be used successfully to recognize 2D faces with 3D recognition algorithms. The results reported here were obtained partially with our own face image database, which had 2D and 3D face images of 50 subjects, with 9 different pose angles. It is shown that by applying even the simple PCA algorithm, this new approach can yield successful recognition rates using 2D probing images and 3D gallery images. The insight gained from the 2D/3D face recognition study was also extended to the case of involving 2D probing and 2D gallery images, which offers a more flexible approach since it is much easier and practical to acquire 2D photos for recognition. To test the effectiveness of the proposed approach, the public AT&T face database, which had 2D only face photos of 40 subjects, with 10 different images each, was utilized in the experimental study. The results from this investigation show that with our approach, the 3D recognition algorithm can be successfully applied to 2D only images. The performance of the proposed approach was further compared with some of the existing face recognition techniques. Studies on imperfect conditions such as domain and pose/illumination variations were also carried out. Additionally, the performance of the algorithms on noisy photos was evaluated. Pros and cons of the proposed face recognition technique along with suggestions for future studies are also given in the dissertation. / by Guan Xin. / Thesis (Ph.D.)--Florida Atlantic University, 2012. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2012. Mode of access: World Wide Web.

Video identification or copy detection is a challenging problem and is becoming increasingly important with the popularity of online video services. The problem addressed in this thesis is the identification of a given video clip in a given set of videos. For a given query video, the system returns all the instance of the video in the data set. This identification system uses video signatures based on video tomography. A robust and low complexity video signature is designed and implemented. The nature of the signature makes it independent to the most commonly video transformations. The signatures are generated for video shots and not individual frames, resulting in a compact signature of 64 bytes per video shot. The signatures are matched using simple Euclidean distance metric. The results show that videos can be identified with 100% recall and over 93% precision. The experiments included several transformations on videos. / by Gustavo A. Leon. / Thesis (M.S.C.S.)--Florida Atlantic University, 2008. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2008. Mode of access: World Wide Web.

The literature regarding biological motion suggests that people may accurately identify and recognize the gender of others using movement cues in the absence of typical identifiers. This study compared identification and gender judgments of traditional point-light stimuli to skeleton stimuli. Controlling for previous experience and execution of actions, the frequency and familiarity of movements was also considered. Watching action clips, participants learned to identify 4 male and 4 female actors. Participants then identified the corresponding point-light or skeleton displays. Although results indicate higher than chance performance, no difference was observed between stimuli conditions. Analyses did show better gender recognition for common as well as previously viewed actions. This suggests that visual experience influences extraction and application of biological motion. Thus insufficient practice in relying on movement cues for identification could explain the significant yet poor performance in biological motion point-light research. / by Sara Manuel. / Thesis (M.A.)--Florida Atlantic University, 2012. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2012. Mode of access: World Wide Web. / Mode of access: World Wide Web. / System requirements: Adobe Reader.

Underwater vehicles often use acoustics or dead reckoning for global positioning, which is impractical for low cost, high proximity applications. An optical based positional feedback system for a wave tank operated biomimetic station-keeping vehicle was made using an extended Kalman filter and a model of a nearby light source. After physical light model verification, the filter estimated surge, sway, and heading with 6 irradiance sensors and a low cost inertial measurement unit (~$15). Physical testing with video feedback suggests an average error of ~2cm in surge and sway, and ~3deg in yaw, over a 1200 cm2 operational area. This is 2-3 times better, and more consistent, than adaptations of prior art tested alongside the extended Kalman filter feedback system. The physical performance of the biomimetic platform was also tested. It has a repeatable forward velocity response with a max of 0.3 m/s and fair stability in surface testing conditions. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2015. / FAU Electronic Theses and Dissertations Collection

Técnicas biométricas procuraram identificar usuários pela textura da íris, impressão digital, traços faciais, entre outros. A íris humana apresenta características de textura que a classificam como uma peculiaridade biométrica de grande poder de discriminação no reconhecimento de pessoas. O objetivo deste trabalho é avaliar a eficiência de uma nova metodologia de análise de texturas em desenvolvimento no LAVI (Laboratório de Visão Computacional da EESC-USP) na identificação de indivíduos por meio da textura de sua íris. A metodologia denomina-se Local Fuzzy Pattern e tem sido utilizada com excelente desempenho com texturas gerais, naturais e artificiais. Este documento detalha as técnicas utilizadas para extração e normalização da textura da íris, a utilização e os resultados obtidos com o método Local Fuzzy Pattern aplicado à classificação biométrica da íris humana. Os resultados obtidos apresentam sensibilidade de até 99,7516% com a aplicação da metodologia proposta em bancos de imagens de íris humana disponíveis na internet demonstram a viabilidade da técnica proposta. / Biometric techniques sought to identify users by the texture of the iris, fingerprint, facial features, among others. The human iris have texture characteristics that rank it as a powerful biometric peculiarity on human recognition. The objective of this masters proposal is to investigate the efficiency of a new methodology of iris texture analysis currently in development in LAVI (Laboratório de Visão Computacional da EESC-USP). The methodology is called LFP (Local Fuzzy Pattern) and has been used with excellent overall performance on artificial and natural textures. This document details the techniques used for the extraction and normalization of the iris texture, the use and results of the local fuzzy pattern method applied to biometric classification of the human eye. The results show a sensibility of value up to 99.7516%, obtained by applying the proposed methodology on human iris photos from image database available on the internet does showing the viability of the technique.

Orientador: Cláudia Valéria Seullner Brandão / Resumo: Os gatos possuem papel de destaque como animais de estimação, assim como em estudos oftalmológicos comparativos. Pelo conhecimento dos autores, até o momento, a avaliação de bulbo de gatos utilizando tomógrafos e topógrafo associados, por meio dos sistemas de câmeras Scheimpflug duplas e um disco Plácido, não foi descrita na literatura. O objetivo deste estudo foi analisar a córnea em gatos considerando as curvaturas anterior e posterior, o poder total e espessura da córnea pelo sistema de duplo Scheimpflug e disco de plácido. Na ceratometria anterior (SimK) verificou-se valores de 38,37 ± 0,83D, ceratometria posterior -4,89±0,34D e poder corneal total médio 38,04 ± 0,94D. Quanto à espessura corneal central foi obtido valor médio de 617,34 ± 53,38 μm, superior aos encontrados em outros trabalhos utilizando a paquimetria ultrassônica. A utilização do sistema duplo Scheimpflug e disco de plácido foi efetiva em gatos domésticos e permitiu a obtenção de valores ainda não descritos na literatura para a espécie, tais como ceratometria anterior nas zonas da córnea, ceratometria corneal posterior, poder corneal total, volume corneal. / Abstract: Cats have an important role as pets and in ophthalmologic comparative studies. To the autors’ knowledge, this is the first study that evaluates cornea of cats using a device that combine tomography and topography, through dual Scheimpflug cameras and a Placid disc. The aim of this study was to evaluate anterior and posterior keratometry, total corneal power and pachymetry using dual Scheimpflug and Placid disc system. Concerning anterior keratometry (SimK), the value obtained was 38,37 ± 0,83D, posterior keratometry -4,89±0,34D and total corneal power 38,04 ± 0,94D. Regarding the pachymetry, the mean CCT value obtained was 617,34 ± 53,38 μm, superior to those find in other studies using ultrasonic pachymetry. The use of dual Scheimpflug and Placid disc system was effective in domestic cats and enabled the description of values that have not been described in the literature in felines yet, such as anterior keratomemetry in the corneal zones, posterior keratommetry, total corneal power, corneal volume. / Mestre

by Meng Xiaoning. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 99-106). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Overview --- p.2 / Chapter 1.3 --- Organization of the Thesis --- p.3 / Chapter 2 --- Related Research --- p.6 / Chapter 2.1 --- Information Technology in Cars --- p.6 / Chapter 2.2 --- Anti-theft Protection --- p.8 / Chapter 2.3 --- Learning Human Behaviors --- p.10 / Chapter 2.4 --- Neural Network Learning --- p.11 / Chapter 3 --- Experimental Design --- p.14 / Chapter 3.1 --- Overview --- p.14 / Chapter 3.2 --- Driving Simulation Subsystem --- p.14 / Chapter 3.3 --- Data Sensing and Capturing Subsystem --- p.15 / Chapter 3.4 --- Data Analysis Subsystem --- p.17 / Chapter 4 --- Data Preprocessing for Feature Selection --- p.23 / Chapter 4.1 --- Introduction --- p.23 / Chapter 4.2 --- Fast Fourier Transform --- p.23 / Chapter 4.3 --- Principal Component Analysis --- p.24 / Chapter 4.4 --- Independent Component Analysis --- p.26 / Chapter 5 --- Classification via Support Vector Machine --- p.28 / Chapter 5.1 --- Introduction --- p.28 / Chapter 5.1.1 --- Why Using Support Vector Machine --- p.28 / Chapter 5.1.2 --- Mathematic Description --- p.29 / Chapter 5.2 --- Problem Formulation --- p.31 / Chapter 5.3 --- Approach --- p.31 / Chapter 5.4 --- Experimental Results --- p.34 / Chapter 5.4.1 --- Preprocess Data Analysis --- p.34 / Chapter 5.4.2 --- Models Design --- p.37 / Chapter 5.5 --- Discussion --- p.44 / Chapter 6 --- Evaluation via Hidden Markov Model --- p.47 / Chapter 6.1 --- Introduction --- p.47 / Chapter 6.1.1 --- Why Using Hidden Markov Model --- p.48 / Chapter 6.1.2 --- Mathematic Description --- p.50 / Chapter 6.2 --- Problem Formulation --- p.51 / Chapter 6.3 --- Approach --- p.53 / Chapter 6.4 --- Experimental Results --- p.56 / Chapter 6.4.1 --- Model-to-model Measure --- p.56 / Chapter 6.4.2 --- Human-to-model Measure --- p.63 / Chapter 6.4.3 --- Parameters Optimization --- p.66 / Chapter 6.5 --- Discussion --- p.69 / Chapter 7 --- System Design and Implementation --- p.71 / Chapter 7.1 --- Introduction --- p.71 / Chapter 7.2 --- Hardware --- p.72 / Chapter 7.3 --- Software --- p.78 / Chapter 7.4 --- System Demonstration --- p.80 / Chapter 8 --- Conclusion and Future Work --- p.82 / Chapter 8.1 --- Contributions --- p.82 / Chapter 8.2 --- Future Work --- p.84 / Chapter A --- Hidden Markov Model Training --- p.87 / Chapter A.1 --- Forward-backward Algorithm --- p.87 / Chapter A.2 --- Baum-Welch Algorithm --- p.87 / Chapter B --- Human Driving Behavior Data --- p.90 / Chapter C --- Publications Resulted from the Study --- p.98

Técnicas biométricas procuraram identificar usuários pela textura da íris, impressão digital, traços faciais, entre outros. A íris humana apresenta características de textura que a classificam como uma peculiaridade biométrica de grande poder de discriminação no reconhecimento de pessoas. O objetivo deste trabalho é avaliar a eficiência de uma nova metodologia de análise de texturas em desenvolvimento no LAVI (Laboratório de Visão Computacional da EESC-USP) na identificação de indivíduos por meio da textura de sua íris. A metodologia denomina-se Local Fuzzy Pattern e tem sido utilizada com excelente desempenho com texturas gerais, naturais e artificiais. Este documento detalha as técnicas utilizadas para extração e normalização da textura da íris, a utilização e os resultados obtidos com o método Local Fuzzy Pattern aplicado à classificação biométrica da íris humana. Os resultados obtidos apresentam sensibilidade de até 99,7516% com a aplicação da metodologia proposta em bancos de imagens de íris humana disponíveis na internet demonstram a viabilidade da técnica proposta. / Biometric techniques sought to identify users by the texture of the iris, fingerprint, facial features, among others. The human iris have texture characteristics that rank it as a powerful biometric peculiarity on human recognition. The objective of this masters proposal is to investigate the efficiency of a new methodology of iris texture analysis currently in development in LAVI (Laboratório de Visão Computacional da EESC-USP). The methodology is called LFP (Local Fuzzy Pattern) and has been used with excellent overall performance on artificial and natural textures. This document details the techniques used for the extraction and normalization of the iris texture, the use and results of the local fuzzy pattern method applied to biometric classification of the human eye. The results show a sensibility of value up to 99.7516%, obtained by applying the proposed methodology on human iris photos from image database available on the internet does showing the viability of the technique.