Face Image Analysis By Unsupervised Learning And Redundancy Reduction

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Face Image Analysis by Unsupervised Learning

Author : Marian Stewart Bartlett
Publisher : Springer Science & Business Media
ISBN 13 : 1461516374
Total Pages : 181 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Face Image Analysis by Unsupervised Learning by : Marian Stewart Bartlett

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.

Face Image Analysis by Unsupervised Learning and Redundancy Reduction

Author : Marian Stewart Bartlett
Publisher :
ISBN 13 :
Total Pages : 446 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Face Image Analysis by Unsupervised Learning and Redundancy Reduction by : Marian Stewart Bartlett

Download or read book Face Image Analysis by Unsupervised Learning and Redundancy Reduction written by Marian Stewart Bartlett and published by . This book was released on 1998 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Face Processing: Advanced Modeling and Methods

Author : Wenyi Zhao
Publisher : Elsevier
ISBN 13 : 0080488846
Total Pages : 755 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Face Processing: Advanced Modeling and Methods by : Wenyi Zhao

Download or read book Face Processing: Advanced Modeling and Methods written by Wenyi Zhao and published by Elsevier. This book was released on 2011-07-28 with total page 755 pages. Available in PDF, EPUB and Kindle. Book excerpt: Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume. Face Processing: Advanced Modeling and Methods begins with a comprehensive introductory chapter for those who are new to the field. A compendium of articles follows that is divided into three sections. The first covers basic aspects of face processing from human to computer. The second deals with face modeling from computational and physiological points of view. The third tackles the advanced methods, which include illumination, pose, expression, and more. Editors Zhao and Chellappa have compiled a concise and necessary text for industrial research scientists, students, and professionals working in the area of image and signal processing. - Contributions from over 35 leading experts in face detection, recognition and image processing - Over 150 informative images with 16 images in FULL COLOR illustrate and offer insight into the most up-to-date advanced face processing methods and techniques - Extensive detail makes this a need-to-own book for all involved with image and signal processing

Face Image Analysis by Unsupervised Learning

Author : Marian Stewart Bartlett
Publisher : Springer Science & Business Media
ISBN 13 : 9780792373483
Total Pages : 194 pages
Book Rating : 4.3/5 (734 download)

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Book Synopsis Face Image Analysis by Unsupervised Learning by : Marian Stewart Bartlett

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 2001-06-30 with total page 194 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.

Pattern Recognition and Image Analysis

Author : Sameer Singh
Publisher : Springer Science & Business Media
ISBN 13 : 3540288333
Total Pages : 833 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Pattern Recognition and Image Analysis by : Sameer Singh

Download or read book Pattern Recognition and Image Analysis written by Sameer Singh and published by Springer Science & Business Media. This book was released on 2005-08-17 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 3686 and LNCS 3687 constitutes the refereed proceedings of the Third International Conference on Advances in Pattern Recognition, ICAPR 2005, held in Bath, UK in August 2005. The papers submitted to ICAPR 2005 were thoroughly reviewed by up to three referees per paper and less than 40% of the submitted papers were accepted. The first volume includes 73 contributions related to Pattern Recognition and Data Mining (which included papers from the tracks of pattern recognition methods, knowledge and learning, and data mining); topics addressed are pattern recognition, data mining, signal processing and OCR/ document analysis. The second volume contains 87 contributions related to Pattern Recognition and Image Analysis (which included papers from the applications track) and deals with security and surveillance, biometrics, image processing and medical imaging. It also contains papers from the Workshop on Pattern Recognition for Crime Prevention.

Innovative Research in Attention Modeling and Computer Vision Applications

Author : Pal, Rajarshi
Publisher : IGI Global
ISBN 13 : 146668724X
Total Pages : 475 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Innovative Research in Attention Modeling and Computer Vision Applications by : Pal, Rajarshi

Download or read book Innovative Research in Attention Modeling and Computer Vision Applications written by Pal, Rajarshi and published by IGI Global. This book was released on 2015-10-02 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotics and autonomous systems can aid disabled individuals in daily living or make a workplace more productive, but these tools are only as effective as the technology behind them. Robotic systems must be able to accurately identify and act upon elements in their environment to be effective in performing their duties. Innovative Research in Attention Modeling and Computer Vision Applications explores the latest research in image processing and pattern recognition for use in robotic real-time cryptography and surveillance applications. This book provides researchers, students, academicians, software designers, and application developers with next-generation insight into the use of computer vision technologies in a variety of industries and endeavors. This premier reference work includes chapters on topics ranging from biometric and facial recognition technologies, to digital image and video watermarking, among many others.

Advances in Face Image Analysis: Techniques and Technologies

Author : Zhang, Yu-Jin
Publisher : IGI Global
ISBN 13 : 1615209921
Total Pages : 404 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Advances in Face Image Analysis: Techniques and Technologies by : Zhang, Yu-Jin

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.

Emotion Recognition

Author : Amit Konar
Publisher : John Wiley & Sons
ISBN 13 : 1118910605
Total Pages : 580 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Emotion Recognition by : Amit Konar

Download or read book Emotion Recognition written by Amit Konar and published by John Wiley & Sons. This book was released on 2014-12-29 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signals This book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature selection, feature reduction, classifier design and multi-modal fusion to improve performance of emotion-classifiers. Written by several experts, the book includes several tools and techniques, including dynamic Bayesian networks, neural nets, hidden Markov model, rough sets, type-2 fuzzy sets, support vector machines and their applications in emotion recognition by different modalities. The book ends with a discussion on emotion recognition in automotive fields to determine stress and anger of the drivers, responsible for degradation of their performance and driving-ability. There is an increasing demand of emotion recognition in diverse fields, including psycho-therapy, bio-medicine and security in government, public and private agencies. The importance of emotion recognition has been given priority by industries including Hewlett Packard in the design and development of the next generation human-computer interface (HCI) systems. Emotion Recognition: A Pattern Analysis Approach would be of great interest to researchers, graduate students and practitioners, as the book Offers both foundations and advances on emotion recognition in a single volume Provides a thorough and insightful introduction to the subject by utilizing computational tools of diverse domains Inspires young researchers to prepare themselves for their own research Demonstrates direction of future research through new technologies, such as Microsoft Kinect, EEG systems etc.

Biomedical Signal Analysis

Author : Fabian J. Theis
Publisher : MIT Press
ISBN 13 : 0262013282
Total Pages : 438 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Biomedical Signal Analysis by : Fabian J. Theis

Download or read book Biomedical Signal Analysis written by Fabian J. Theis and published by MIT Press. This book was released on 2010 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to innovative methods in the field of biomedical signal analysis, covering both theory and practice. Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation.After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling. Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook.

Computer Vision: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522552057
Total Pages : 2494 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Computer Vision: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Computer Vision: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-02-02 with total page 2494 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Computational, Geometric, and Process Perspectives on Facial Cognition

Author : Michael J. Wenger
Publisher : Psychology Press
ISBN 13 : 113566949X
Total Pages : 460 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Computational, Geometric, and Process Perspectives on Facial Cognition by : Michael J. Wenger

Download or read book Computational, Geometric, and Process Perspectives on Facial Cognition written by Michael J. Wenger and published by Psychology Press. This book was released on 2005-04-11 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the last three decades, interest in the psychological experience of human faces has drawn together cognitive science researchers from diverse backgrounds. Computer scientists talk to neural scientists who draw on the work of mathematicians who explicitly influence those conducting behavioral experiments. The chapters in this volume illustrate the breadth of the research on facial perception and memory, with the emphasis being on mathematical and computational approaches. In pulling together these chapters, the editors sought to do much more than illustrate breadth. They endeavored as well to illustrate the synergies and tensions that inevitably result from adopting a broad view, one consistent with the emerging discipline of cognitive science.

Computational Vision and Medical Image Processing

Author : João Manuel R.S. Tavares
Publisher : CRC Press
ISBN 13 : 1482266679
Total Pages : 463 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Computational Vision and Medical Image Processing by : João Manuel R.S. Tavares

Download or read book Computational Vision and Medical Image Processing written by João Manuel R.S. Tavares and published by CRC Press. This book was released on 2009-10-01 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Vision and Medical Image Processing, VIPIMAGE 2009 contains the full papers presented at VIPIMAGE 2009 - Second ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, held in Porto, Portugal, on 14-16 October 2009. International contributions from twenty countries provide a comprehensive coverage of the curr

Knowledge-based Intelligent Information and Engineering Systems

Author :
Publisher :
ISBN 13 :
Total Pages : 1468 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge-based Intelligent Information and Engineering Systems by :

Download or read book Knowledge-based Intelligent Information and Engineering Systems written by and published by . This book was released on 2005 with total page 1468 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Selection of Image Analysis Techniques

Author : Yu-Jin Zhang
Publisher : CRC Press
ISBN 13 : 100068945X
Total Pages : 330 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis A Selection of Image Analysis Techniques by : Yu-Jin Zhang

Download or read book A Selection of Image Analysis Techniques written by Yu-Jin Zhang and published by CRC Press. This book was released on 2022-10-05 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image‐processing related problems in real-life situations. The selected techniques include image segmentation, segmentation evaluation and comparison, saliency object detection, motion analysis, mathematical morphology methods, face recognition and expression classification. The author offers readers a three‐step strategy toward problem‐solving: first, essential principles; then, a detailed explanation; and finally, a discussion on practical and working techniques for specific tasks. He also encourages readers to make full use of available materials from the latest developments and trends. This is an excellent book for those who do not have a complete foundation in image technology but need to use image analysis techniques to perform specific tasks in particular applications.

Intelligent Multimedia Processing with Soft Computing

Author : Yap Peng Tan
Publisher : Springer
ISBN 13 : 3540323678
Total Pages : 474 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Intelligent Multimedia Processing with Soft Computing by : Yap Peng Tan

Download or read book Intelligent Multimedia Processing with Soft Computing written by Yap Peng Tan and published by Springer. This book was released on 2006-09-15 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing represents a collection of techniques, such as neural networks, evolutionary computation, fuzzy logic, and probabilistic reasoning. As - posed to conventional "hard" computing, these techniques tolerate impre- sion and uncertainty, similar to human beings. In the recent years, successful applications of these powerful methods have been published in many dis- plines in numerous journals, conferences, as well as the excellent books in this book series on Studies in Fuzziness and Soft Computing. This volume is dedicated to recent novel applications of soft computing in multimedia processing. The book is composed of 21 chapters written by experts in their respective fields, addressing various important and timely problems in multimedia computing such as content analysis, indexing and retrieval, recognition and compression, processing and filtering, etc. In the chapter authored by Guan, Muneesawang, Lay, Amin, and Lee, a radial basis function network with Laplacian mixture model is employed to perform image and video retrieval. D. Androutsos, P. Androutsos, Plataniotis, and Venetsanopoulos investigate color image indexing and retrieval within a small-world framework. Wu and Yap develop a framework of fuzzy relevance feedback to model the uncertainty of users' subjective perception in image retrieval.

Biometric Systems

Author : James L. Wayman
Publisher : Springer Science & Business Media
ISBN 13 : 1846280648
Total Pages : 380 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Biometric Systems by : James L. Wayman

Download or read book Biometric Systems written by James L. Wayman and published by Springer Science & Business Media. This book was released on 2005-09-20 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biometric Systems provides practitioners with an overview of the principles and methods needed to build reliable biometric systems. It covers three main topics: key biometric technologies, design and management issues, and the performance evaluation of biometric systems for personal verification/identification. The four most widely used technologies are focused on - speech, fingerprint, iris and face recognition. Key features include: in-depth coverage of the technical and practical obstacles which are often neglected by application developers and system integrators and which result in shortfalls between expected and actual performance; and protocols and benchmarks which will allow developers to compare performance and track system improvements.

Affective Computing

Author : Jimmy Or
Publisher : BoD – Books on Demand
ISBN 13 : 3902613238
Total Pages : 454 pages
Book Rating : 4.9/5 (26 download)

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Book Synopsis Affective Computing by : Jimmy Or

Download or read book Affective Computing written by Jimmy Or and published by BoD – Books on Demand. This book was released on 2008-05-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of state of the art research in Affective Computing. It presents new ideas, original results and practical experiences in this increasingly important research field. The book consists of 23 chapters categorized into four sections. Since one of the most important means of human communication is facial expression, the first section of this book (Chapters 1 to 7) presents a research on synthesis and recognition of facial expressions. Given that we not only use the face but also body movements to express ourselves, in the second section (Chapters 8 to 11) we present a research on perception and generation of emotional expressions by using full-body motions. The third section of the book (Chapters 12 to 16) presents computational models on emotion, as well as findings from neuroscience research. In the last section of the book (Chapters 17 to 22) we present applications related to affective computing.