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Author: Mohamed El aroussi
Publisher: LAP Lambert Academic Publishing
ISBN: 9783847324768
Category :
Languages : en
Pages : 152
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Book Description
As a hot research topic since the eighties, face recognition still seems to be a di cult and largely problem. Distortions caused by variations in illumination, expression and pose are the main challenges to be dealt with by researchers in this eld. E cient recognition algorithms, robust against such distortions, are the main motivations of this research. Based on a detailed review on the background and wide applications of Gabor wavelet and new transforms (Contourlet, Curvelet and Steerable Pyramid) have emerged despite their improved directional elements and other promising abilities compared to traditional wavelet transform. In this book we have introduced Steerable pyramid as a new feature extraction tool for face representation respectively recognition. We also proposed face recognition based on multiple features fusion that combine two di erent representations of the face image. We examine the impact of information fusion both at the feature level and at the score level. Finally an automatic user identi cation system, is presented."
Author: Mohamed El aroussi
Publisher: LAP Lambert Academic Publishing
ISBN: 9783847324768
Category :
Languages : en
Pages : 152
Get Book Here
Book Description
As a hot research topic since the eighties, face recognition still seems to be a di cult and largely problem. Distortions caused by variations in illumination, expression and pose are the main challenges to be dealt with by researchers in this eld. E cient recognition algorithms, robust against such distortions, are the main motivations of this research. Based on a detailed review on the background and wide applications of Gabor wavelet and new transforms (Contourlet, Curvelet and Steerable Pyramid) have emerged despite their improved directional elements and other promising abilities compared to traditional wavelet transform. In this book we have introduced Steerable pyramid as a new feature extraction tool for face representation respectively recognition. We also proposed face recognition based on multiple features fusion that combine two di erent representations of the face image. We examine the impact of information fusion both at the feature level and at the score level. Finally an automatic user identi cation system, is presented."
Author: Venkatesh Ramanathan
Publisher:
ISBN:
Category : Biometric identification
Languages : en
Pages : 227
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Book Description
This thesis addresses digital identity for biometric / face recognition screening and cyberspace security subject to denial and deception characteristic of adversarial behavior. The adversarial aspect concerns defense and offense operations that involve impostors and identity theft. Denial and deception correspond to occlusion and disguise for biometrics, while for cyberspace security they correspond to spoofing and obfuscation. To prevent or mitigate the impacts of adversarial behavior from offensive attacks this thesis proposes the use of multi-layer data fusion. Multi-layer aspect of fusion refers to features, representations, algorithms, decision-making, adversarial aspects and their purposeful combinations. This novelty, feasibility, and utility of our research is illustrated in the physical and cyber worlds: (i) robust face recognition in the presence of occlusion and disguise, and (ii) phishing detection to prevent identity theft through spoofing and obfuscation.
Author: Venkatesh Ramanathan
Publisher:
ISBN:
Category : Biometric identification
Languages : en
Pages : 454
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Book Description
This thesis addresses digital identity for biometric / face recognition screening and cyberspace security subject to denial and deception characteristic of adversarial behavior. The adversarial aspect concerns defense and offense operations that involve impostors and identity theft. Denial and deception correspond to occlusion and disguise for biometrics, while for cyberspace security they correspond to spoofing and obfuscation. To prevent or mitigate the impacts of adversarial behavior from offensive attacks this thesis proposes the use of multi-layer data fusion. Multi-layer aspect of fusion refers to features, representations, algorithms, decision-making, adversarial aspects and their purposeful combinations. This novelty, feasibility, and utility of our research is illustrated in the physical and cyber worlds: (i) robust face recognition in the presence of occlusion and disguise, and (ii) phishing detection to prevent identity theft through spoofing and obfuscation.
Author: Girija Chetty
Publisher: BoD – Books on Demand
ISBN: 9533074876
Category : Computers
Languages : en
Pages : 398
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Book Description
The methods for human identity authentication based on biometrics - the physiological and behavioural characteristics of a person have been evolving continuously and seen significant improvement in performance and robustness over the last few years. However, most of the systems reported perform well in controlled operating scenarios, and their performance deteriorates significantly under real world operating conditions, and far from satisfactory in terms of robustness and accuracy, vulnerability to fraud and forgery, and use of acceptable and appropriate authentication protocols. To address some challenges, and the requirements of new and emerging applications, and for seamless diffusion of biometrics in society, there is a need for development of novel paradigms and protocols, and improved algorithms and authentication techniques. This book volume on "Advanced Biometric Technologies" is dedicated to the work being pursued by researchers around the world in this area, and includes some of the recent findings and their applications to address the challenges and emerging requirements for biometric based identity authentication systems. The book consists of 18 Chapters and is divided into four sections namely novel approaches, advanced algorithms, emerging applications and the multimodal fusion. The book was reviewed by editors Dr. Girija Chetty and Dr. Jucheng Yang We deeply appreciate the efforts of our guest editors: Dr. Norman Poh, Dr. Loris Nanni, Dr. Jianjiang Feng, Dr. Dongsun Park and Dr. Sook Yoon, as well as a number of anonymous reviewers.
Author: Thirimachos Bourlai
Publisher: Springer
ISBN: 3319285017
Category : Computers
Languages : en
Pages : 388
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Book Description
This authoritative text/reference presents a comprehensive review of algorithms and techniques for face recognition (FR), with an emphasis on systems that can be reliably used in operational environments. Insights are provided by an international team of pre-eminent experts into the processing of multispectral and hyperspectral face images captured under uncontrolled environments. These discussions cover a variety of imaging sensors ranging from state-of-the-art visible and infrared imaging sensors, to RGB-D and mobile phone image sensors. A range of different biometric modalities are also examined, including face, periocular and iris. This timely volume is a mine of useful information for researchers, practitioners and students involved in image processing, computer vision, biometrics and security.
Author: Peter Corcoran
Publisher: BoD – Books on Demand
ISBN: 9533073683
Category : Computers
Languages : en
Pages : 342
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Book Description
As a baby one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section on Statistical Face Models and Classifiers presents reviews and refinements of some well-known statistical models. The next section presents two articles exploring the use of Infrared imaging techniques and is followed by few articles devoted to refinements of classical methods. New approaches to improve the robustness of face analysis techniques are followed by two articles dealing with real-time challenges in video sequences. A final article explores human perceptual issues of face recognition.
Author: Harry Wechsler
Publisher: Springer Science & Business Media
ISBN: 0387384642
Category : Computers
Languages : en
Pages : 332
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Book Description
This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development. The book’s focused approach and its clarity of presentation make this an excellent reference work.
Author: Yichun Shi
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 124
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Book Description
Face recognition is a classic problem in the field of computer vision and pattern recognition due to its wide applications in real-world problems such as access control, identity verification, physical security, surveillance, etc. Recent progress in deep learning techniques and the access to large-scale face databases has lead to a significant improvement of face recognition accuracy under constrained and semi-constrained scenarios. Deep neural networks are shown to surpass human performance on Labeled Face in the Wild (LFW), which consists of celebrity photos captured in the wild. However, in many applications, e.g. surveillance videos, where we cannot assume that the presented face is under controlled variations, the performance of current DNN-based methods drop significantly. The main challenges in such an unconstrained face recognition problem include, but are not limited to: lack of labeled data, robust face normalization, discriminative representation learning and the ambiguity of facial features caused by information loss.In this thesis, we propose a set of methods that attempt to address the above challenges in unconstrained face recognition systems. Starting from a classic deep face recognition pipeline, we review how each step in this pipeline could fail on low-quality uncontrolled input faces, what kind of solutions have been studied before, and then introduce our proposed methods. The various methods proposed in this thesis are independent but compatible with each other. Experiment on several challenging benchmarks, e.g. IJB-C and IJB-S show that the proposed methods are able to improve the robustness and reliability of deep unconstrained face recognition systems. Our solution achieves state-of-the-art performance, i.e. 95.0% TAR FAR=0.001% on IJB-C dataset and 61.98% Rank1 retrieval rate on the surveillance-to-booking protocol of IJB-S dataset.
Author: Fadi Dornaika
Publisher: Bentham Science Publishers
ISBN: 1681081105
Category : Computers
Languages : en
Pages : 264
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Book Description
Advances in Face Image Analysis: Theory and applications describes several approaches to facial image analysis and recognition. Eleven chapters cover advances in computer vision and pattern recognition methods used to analyze facial data. The topics addressed in this book include automatic face detection, 3D face model fitting, robust face recognition, facial expression recognition, face image data embedding, model-less 3D face pose estimation and image-based age estimation. The chapters are also written by experts from a different research groups. Readers will, therefore, have access to contemporary knowledge on facial recognition with some diverse perspectives offered for individual techniques. The book is a useful resource for a wide audience such as i) researchers and professionals working in the field of face image analysis, ii) the entire pattern recognition community interested in processing and extracting features from raw face images, and iii) technical experts as well as postgraduate computer science students interested in cutting edge concepts of facial image recognition.
Author: Harry Wechsler
Publisher: Springer Science & Business Media
ISBN: 3642722016
Category : Computers
Languages : en
Pages : 645
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Book Description
The NATO Advanced Study Institute (ASI) on Face Recognition: From Theory to Applications took place in Stirling, Scotland, UK, from June 23 through July 4, 1997. The meeting brought together 95 participants (including 18 invited lecturers) from 22 countries. The lecturers are leading researchers from academia, govemment, and industry from allover the world. The lecturers presented an encompassing view of face recognition, and identified trends for future developments and the means for implementing robust face recognition systems. The scientific programme consisted of invited lectures, three panels, and (oral and poster) presentations from students attending the AS!. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (i) human processing of face recognition and its relevance to forensic systems, (ii) face coding, (iii) connectionist methods and support vector machines (SVM), (iv) hybrid methods for face recognition, and (v) predictive learning and performance evaluation. The goals of the panels were to provide links among the lectures and to emphasis the themes of the meeting. The topics of the panels were: (i) How the human visual system processes faces, (ii) Issues in applying face recognition: data bases, evaluation and systems, and (iii) Classification issues involved in face recognition. The presentations made by students gave them an opportunity to receive feedback from the invited lecturers and suggestions for future work.
