Download or read book Face Recognition and Video Analysis written by Zhengyou Zhang and published by . This book was released on 2005 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Face Recognition written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2005-12-06 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.

Download or read book Face Recognition and Video Analysis written by Zhengyou Zhang and published by . This book was released on 2005 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advances in Face Detection and Facial Image Analysis written by Michal Kawulok and published by Springer. This book was released on 2016-04-02 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial dynamics analysis, face classification, identification, and clustering, and gaze direction and head pose estimation, as well as applications of face analysis.

Download or read book Face Analysis Modeling and Recognition Systems written by Tudor Barbu and published by BoD – Books on Demand. This book was released on 2011-10-03 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book, entitled Face Analysis, Modeling and Recognition Systems is to provide a concise and comprehensive coverage of artificial face recognition domain across four major areas of interest: biometrics, robotics, image databases and cognitive models. Our book aims to provide the reader with current state-of-the-art in these domains. The book is composed of 12 chapters which are grouped in four sections. The chapters in this book describe numerous novel face analysis techniques and approach many unsolved issues. The authors who contributed to this book work as professors and researchers at important institutions across the globe, and are recognized experts in the scientific fields approached here. The topics in this book cover a wide range of issues related to face analysis and here are offered many solutions to open issues. We anticipate that this book will be of special interest to researchers and academics interested in computer vision, biometrics, image processing, pattern recognition and medical diagnosis.

Download or read book Unconstrained Face Recognition written by Shaohua Kevin Zhou and published by Springer Science & Business Media. This book was released on 2006-10-11 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Machine Learning for Audio Image and Video Analysis written by Francesco Camastra and published by Springer. This book was released on 2015-07-21 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third part Applications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data. Machine Learning for Audio, Image and Video Analysis is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.

Download or read book Video Content Analysis written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-05 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Video Content Analysis Video content analysis or video content analytics (VCA), also known as video analysis or video analytics (VA), is the capability of automatically analyzing video to detect and determine temporal and spatial events. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Video content analysis Chapter 2: Physical security Chapter 3: Closed-circuit television Chapter 4: Surveillance Chapter 5: Facial recognition system Chapter 6: Professional video over IP Chapter 7: Automatic number-plate recognition Chapter 8: Shot transition detection Chapter 9: Closed-circuit television camera Chapter 10: IP camera (II) Answering the public top questions about video content analysis. (III) Real world examples for the usage of video content analysis in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Video Content Analysis.

Download or read book Face Analysis Modeling and Recognition Systems written by Brygida Cullen and published by . This book was released on 1916-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Face recognition is a type of biometric software application that can identify a specific individual in a digital image by analysing and comparing patterns. A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. Facial recognition systems are commonly used for security purposes but are increasingly being used in a variety of other applications. In addition to being used for security systems, establishments have found a number of other applications for facial recognition systems. Some facial recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject's face. For instance, an algorithm may analyse the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features. Other algorithms normalize a gallery of face images and then compress the face data, only saving the data in the image that is useful for face recognition. A probe image is then compared with the face data. One of the earliest successful systems is based on template matching techniques applied to a set of salient facial features, providing a sort of compressed face representation. The book named Face Analysis, Modeling and Recognition Systems offers a concise and inclusive analysis of artificial face recognition domain through major areas of interest: biometrics, robotics, image databases and cognitive models. The topics in this book describe numerous novel face analysis techniques and approach many unsolved issues. It will be of special interest to academics and researchers interested in computer vision, biometrics, image processing, pattern recognition and medical diagnosis."

Download or read book Handbook of Face Recognition written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2011-08-22 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Advances in Face Image Analysis written by Fadi Dornaika and published by Bentham Science Publishers. This book was released on 2016-03-02 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Advances in Face Image Analysis Techniques and Technologies written by Zhang, Yu-Jin and published by IGI Global. This book was released on 2010-07-31 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than 30 leading experts from around the world provide comprehensive coverage of various branches of face image analysis, making this text a valuable asset for students, researchers, and practitioners engaged in the study, research, and development of face image analysis techniques.

Download or read book Facial Analysis from Continuous Video with Applications to Human Computer Interface written by Antonio J. Colmenarez and published by Springer Science & Business Media. This book was released on 2005-12-17 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system. It is potentially useful to enhance the interface between users and machines. These image sequences provide information from which machines can identify and keep track of their users, recognize their facial expressions and gestures, and complement other forms of human-computer interfaces. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectors. This book also describes a real-time system for face and facial feature detection and tracking in continuous video. Finally, this book presents a probabilistic framework for embedded face and facial expression recognition from image sequences. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Download or read book Video Key Frames Feature Selection and Face Recognition written by Shirley C P and published by . This book was released on 2024-02-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Video Key Frames Feature Selection and Face Recognition," authored by Shirley C. P, is an indispensable guide that delves into the fascinating realms of computer vision, machine learning, and artificial intelligence, specifically focusing on the domains of image processing, video analysis, and pattern recognition. This comprehensive book encompasses cutting-edge techniques and methodologies essential for understanding and harnessing the power of visual computing. The book places a strong emphasis on the vital aspects of video analysis, exploring topics such as key frames, feature selection, and face recognition. It delves into the intricacies of video surveillance, object tracking, and facial detection, shedding light on the underlying mechanisms behind image classification, image segmentation, and motion analysis. With an emphasis on both theoretical foundations and practical applications, the book covers a wide array of subjects, including video retrieval, content-based video retrieval, video summarization, and visual features. It explores the intricacies of face detection, verification, identification, and alignment, along with facial expression recognition and pose estimation. Additionally, it addresses topics like action recognition, human activity recognition, video forensics, and video compression, as well as video quality assessment, coding, and indexing. Furthermore, the book delves into multimedia analytics, multimedia content analysis, video-based biometrics, and video foreground extraction. It explores the crucial area of object recognition and video annotation, while also delving into multimedia retrieval, video mining, visual content analysis, and multimedia forensics. Through its insightful content, the book aims to enhance readers' understanding of video understanding and empower them with the knowledge necessary to tackle complex challenges in the field. Overall, "Video Key Frames Feature Selection and Face Recognition" serves as an invaluable resource for researchers, practitioners, and enthusiasts interested in exploring the vast potential of video analysis, image processing, and visual computing.

Download or read book Analysis and Modeling of Faces and Gestures written by S. Kevin Zhou and published by Springer. This book was released on 2007-11-04 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2007, held within the scope of ICCV 2007, the International Conference on Computer Vision. The papers review the status of recognition, analysis and modeling of face, gesture, activity, and behavior. Topics addressed include feature representation, 3D face, video-based face recognition, facial motion analysis, and sign recognition.

Download or read book Face Image Analysis by Unsupervised Learning written by Marian Stewart Bartlett and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face Image Analysis by Unsupervised Learning explores adaptive approaches to image analysis. It draws upon principles of unsupervised learning and information theory to adapt processing to the immediate task environment. In contrast to more traditional approaches to image analysis in which relevant structure is determined in advance and extracted using hand-engineered techniques, Face Image Analysis by Unsupervised Learning explores methods that have roots in biological vision and/or learn about the image structure directly from the image ensemble. Particular attention is paid to unsupervised learning techniques for encoding the statistical dependencies in the image ensemble. The first part of this volume reviews unsupervised learning, information theory, independent component analysis, and their relation to biological vision. Next, a face image representation using independent component analysis (ICA) is developed, which is an unsupervised learning technique based on optimal information transfer between neurons. The ICA representation is compared to a number of other face representations including eigenfaces and Gabor wavelets on tasks of identity recognition and expression analysis. Finally, methods for learning features that are robust to changes in viewpoint and lighting are presented. These studies provide evidence that encoding input dependencies through unsupervised learning is an effective strategy for face recognition. Face Image Analysis by Unsupervised Learning is suitable as a secondary text for a graduate-level course, and as a reference for researchers and practitioners in industry.

Download or read book Face Recognition written by Adamo Quaglia and published by Nova Science Publishers. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face recognition has been an active area of research in image processing and computer vision due to its extensive range of prospective applications relating to biometrics, information security, video surveillance, law enforcement, identity authentication, smart cards, and access control systems. Topics discussed in this compilation include two-dimensional principal component analysis algorithms for face recognition; principal component analysis (PCA) and artificial immune networks in face recognition; multi-class learning facial age estimation and forensic face recognition.