[PDF] Computer Recognition Of Human Faces - eBooks Review

Computer Recognition Of Human Faces


Computer Recognition Of Human Faces
DOWNLOAD

Download Computer Recognition Of Human Faces PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Computer Recognition Of Human Faces book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Computer Recognition Of Human Faces


Computer Recognition Of Human Faces
DOWNLOAD

Author : KANADE
language : en
Publisher: Birkhäuser
Release Date : 2013-12-01

Computer Recognition Of Human Faces written by KANADE and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Science categories.


Picture processing by computer has found its application in various fields. Character recognition has shown the most practical success. Furthermore, the techniques span much more sophisticated applications such as interpretation of biomedical images and X-ray films, measurement of images in nuclear physics, processing of a large volume of pictorial data sent from the satellites, etc. The particular problem attacked in this thesis is computer analysis and identification of human faces. Pictures of human faces are successfully analyzed by a computer program which extracts face feature points, such as nose, mouth, eyes, and so on. The program was tested with more than 800 photographs The research has been done with main emphasis on the method of how to incorporate the picture structures into the picture anlysis program. The success of the program is due to the employment of a flexible picture analysis scheme with feedbacks, which will be described in the next chapter. An experiment on face identification of 20 people was also conducted. I-1. Picture Analysis and Recognition- New Aspects When shown the pictures of the human face of Fig. 1-1, we can immediately tell the positions of the nose, mouth and eyes; and more- over, we can say that both pictures surely portray the same person. Picture analysis and recognition by computer concerns itself with this type of two-dimensional image processing. In this thesis, I selected human-face pictures as objects of processing.



Face Detection And Gesture Recognition For Human Computer Interaction


Face Detection And Gesture Recognition For Human Computer Interaction
DOWNLOAD

Author : Ming-Hsuan Yang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Face Detection And Gesture Recognition For Human Computer Interaction written by Ming-Hsuan Yang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.



Unconstrained Face Recognition


Unconstrained Face Recognition
DOWNLOAD

Author : Shaohua Kevin Zhou
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-11

Unconstrained Face Recognition written by Shaohua Kevin Zhou and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-11 with Computers categories.


Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.



Handbook Of Face Recognition


Handbook Of Face Recognition
DOWNLOAD

Author : Stan Z. Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-08-22

Handbook Of Face Recognition written by Stan Z. Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-22 with Computers categories.


This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.



Face Recognition


Face Recognition
DOWNLOAD

Author : Miloš Oravec
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-04-01

Face Recognition written by Miloš Oravec and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-01 with Computers categories.


This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence. Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination and pose problems (chapters 11-13), eye movement (chapter 14), 3D face recognition (chapters 15-19) and hardware issues (chapters 19-20).



Handbook Of Face Recognition


Handbook Of Face Recognition
DOWNLOAD

Author : Stan Z. Li
language : en
Publisher: Springer Nature
Release Date : 2024-01-30

Handbook Of Face Recognition written by Stan Z. Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Computers categories.


The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition – a task that humans perform routinely and effortlessly in our daily lives – still poses great challenges, especially in unconstrained conditions. This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational recognition systems. After a thorough introduction, each subsequent chapter focuses on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Topics and features: Fully updated, revised, and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated detection and recognition systems Provides comprehensive coverage of face detection, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications Contains numerous step-by-step algorithms Describes a broad range of applications from person verification, surveillance, and security, to entertainment Presents contributions from an international selection of preeminent experts Integrates numerous supporting graphs, tables, charts, and performance data This practical and authoritative reference is an essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry.



Face Detection And Modeling For Recognition


Face Detection And Modeling For Recognition
DOWNLOAD

Author : Rein-Lien Hsu
language : en
Publisher:
Release Date : 2002

Face Detection And Modeling For Recognition written by Rein-Lien Hsu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Biometry categories.


Face recognition has received substantial attention from researchers in biometrics, computer vision, pattern recognition, and cognitive psychology communities because of the increased attention being devoted to security, man-machine communication, content-based image retrieval, and image/video coding. We have proposed two automated recognition paradigms to advance face recognition technology. Three major tasks involved in face recognition systems are: (i) face detection, (ii) face modeling, and (iii) face matching. We have developed a face detection algorithm for color images in the presence of various lighting conditions as well as complex backgrounds. Our detection method first corrects the color bias by a lighting compensation technique that automatically estimates the parameters of reference white for color correction. We overcame the difficulty of detecting the low-luma and high-luma skin tones by applying a nonlinear transformation to the Y CbCr color space. Our method generates face candidates based on the spatial arrangement of detected skin patches. We constructed eye, mouth, and face boundary maps to verify each face candidate. Experimental results demonstrate successful detection of faces with different sizes, color, position, scale, orientation, 3D pose, and expression in several photo collections. 3D human face models augment the appearance-based face recognition approaches to assist face recognition under the illumination and head pose variations. For the two proposed recognition paradigms, we have designed two methods for modeling human faces based on (i) a generic 3D face model and an individual's facial measurements of shape and texture captured in the frontal view, and (ii) alignment of a semantic face graph, derived from a generic 3D face model, onto a frontal face image.



Reliable Face Recognition Methods


Reliable Face Recognition Methods
DOWNLOAD

Author : Harry Wechsler
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-05

Reliable Face Recognition Methods written by Harry Wechsler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-05 with Computers categories.


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.



Human Face Recognition Using Third Order Synthetic Neural Networks


Human Face Recognition Using Third Order Synthetic Neural Networks
DOWNLOAD

Author : Okechukwu A. Uwechue
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Human Face Recognition Using Third Order Synthetic Neural Networks written by Okechukwu A. Uwechue and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem. Human Face Recognition Using Third-Order Synthetic Neural Networks serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.



Face Recognition


Face Recognition
DOWNLOAD

Author : Harry Wechsler
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Face Recognition written by Harry Wechsler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


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.