Pattern Recognition And Computer Vision
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Handbook Of Pattern Recognition And Computer Vision 2nd Edition
Author | : Chi Hau Chen,Louis-francois Pau,Patrick S P Wang |
Publsiher | : World Scientific |
Total Pages | : 1045 |
Release | : 1999-03-12 |
Genre | : Computers |
ISBN | : 9789814497640 |
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The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.
Handbook Of Pattern Recognition And Computer Vision 6th Edition
Author | : Chen Chi Hau |
Publsiher | : World Scientific |
Total Pages | : 404 |
Release | : 2020-04-04 |
Genre | : Computers |
ISBN | : 9789811211089 |
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Handbook of Pattern Recognition and Computer Vision 5th Edition
Author | : Chi-hau Chen |
Publsiher | : World Scientific |
Total Pages | : 582 |
Release | : 2015-12-15 |
Genre | : Computers |
ISBN | : 9789814656535 |
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The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures. Recognition applications include character recognition and document analysis, detection of digital mammograms, remote sensing image fusion, and analysis of functional magnetic resonance imaging data, etc.
Information Theory in Computer Vision and Pattern Recognition
Author | : Francisco Escolano Ruiz,Pablo Suau Pérez,Boyán Ivanov Bonev |
Publsiher | : Springer Science & Business Media |
Total Pages | : 375 |
Release | : 2009-07-14 |
Genre | : Computers |
ISBN | : 9781848822979 |
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Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information...), principles (maximum entropy, minimax entropy...) and theories (rate distortion theory, method of types...). This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to a cross-fertilization of both areas.
Handbook of Pattern Recognition Computer Vision
Author | : Chi-hau Chen,Louis-Franois Pau |
Publsiher | : World Scientific |
Total Pages | : 1045 |
Release | : 1999 |
Genre | : Computers |
ISBN | : 9789810230715 |
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Annotation. Presents the latest research findings in theory, techniques, algorithms, and major applications of pattern recognition and computer vision, as well as new hardware and architecture aspects. Contains sections on basic methods in pattern recognition and computer vision, nine recognition applications, inspection and robotic applications, and architectures and technology. Some areas discussed include cluster analysis, 3D vision of dynamic objects, speech recognition, computer vision in food handling, and video content analysis and retrieval. This second edition is extensively revised to describe progress in the field since 1993. Chen is affiliated with the electrical and computer engineering department at the University of Massachusetts-Dartmouth. Annotation copyrighted by Book News, Inc., Portland, OR.
Handbook Of Pattern Recognition And Computer Vision 5th Edition
Author | : Chi Hau Chen |
Publsiher | : World Scientific |
Total Pages | : 584 |
Release | : 2015-12-15 |
Genre | : Computers |
ISBN | : 9789814656542 |
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Pattern recognition, image processing and computer vision are closely linked areas which have seen enormous progress in the last fifty years. Their applications in our daily life, commerce and industry are growing even more rapidly than theoretical advances. Hence, the need for a new handbook in pattern recognition and computer vision every five or six years as envisioned in 1990 is fully justified and valid.The book consists of three parts: (1) Pattern recognition methods and applications; (2) Computer vision and image processing; and (3) Systems, architecture and technology. This book is intended to capture the major developments in pattern recognition and computer vision though it is impossible to cover all topics.The chapters are written by experts from many countries, fully reflecting the strong international research interests in the areas. This fifth edition will complement the previous four editions of the book.
Advanced Topics in Computer Vision
Author | : Giovanni Maria Farinella,Sebastiano Battiato,Roberto Cipolla |
Publsiher | : Springer Science & Business Media |
Total Pages | : 433 |
Release | : 2013-09-24 |
Genre | : Computers |
ISBN | : 9781447155201 |
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This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.
Image Processing Computer Vision and Pattern Recognition
Author | : Hamid R. Arabnia,Leonidas Deligiannidis,Fernando G. Tinetti |
Publsiher | : 2019 Worldcomp Internation |
Total Pages | : 0 |
Release | : 2020-03-13 |
Genre | : Computers |
ISBN | : 1601325061 |
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Proceedings of the 2019 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.