{"product_id":"advances-in-image-understanding-isbn-9780818676444","title":"Advances in Image Understanding","description":"This volume of original papers has been assembled to honor Azriel Rosenfeld, the dominant figure in the field of computer vision and image processing for over 30 years. Over this period he has made many fundamental and pioneering contributions to nearly every area in this field. Azriel Rosenfeld wrote the first textbook in the field (1969) and was founding editor of the first journal (1972).\u003cbr\u003e \u003cbr\u003e The contributions in this book illustrate the changes that have occurred in dealing with crucial research problems and the methodologies employed to solve them. The 22 papers specifically written for this text are by a handful of researchers who have known and worked with Azriel over the years. These papers address five major themes: image segmentation, feature extraction, 3D shape estimation from 2D images, object recognition, and applications technologies.  Preface\/Introduction (Kevin Bowyer and Narendra Ahuja).\u003cbr\u003e \u003cbr\u003e Section 1 -- Segmentation of Images into Regions.\u003cbr\u003e \u003cbr\u003e Texture Segregation in Chromatic Element-Arrangement Patterns (Jacob Beck).\u003cbr\u003e \u003cbr\u003e Multiresolution GMRF Models for Image Segmentation (Rama Chellappa Anthana Krishnamachari).\u003cbr\u003e \u003cbr\u003e Feature Selection for Texture Segmentation (Michael Brady and Zhi-Yan Xie).\u003cbr\u003e \u003cbr\u003e A Transform for Multiscale Image Segmentation (Narendra Ahuja).\u003cbr\u003e \u003cbr\u003e Image Segmentation Using Clustering (Anil K. Jain and Patrick J. Flynn).\u003cbr\u003e \u003cbr\u003e Boundary Encoding Revisited (Herbert Freeman).\u003cbr\u003e \u003cbr\u003e Section 2 -- Feature Extraction.\u003cbr\u003e \u003cbr\u003e Optimal Edge Detection in Images (Richard J. Qian and Thomas S. Huang).\u003cbr\u003e \u003cbr\u003e Metamerism in Complete Sets of Image Operators (Jan J. Koenderink and A.J. van Doorn).\u003cbr\u003e \u003cbr\u003e Structural Scales in Computational Vision (Steven W. Zucker).\u003cbr\u003e \u003cbr\u003e Propagating Covariance in Computer Vision (Robert M. Haralick).\u003cbr\u003e \u003cbr\u003e Section 3 -- 3-D Shape from 2-D images.\u003cbr\u003e \u003cbr\u003e Improving the Vision of Magic Eyes: A Guide to Better Autostereograms (A. M. Bruckstein, R. Onn, and T. J. Richardson).\u003cbr\u003e \u003cbr\u003e Shape Recovery from Stationary Surface Contours by Controlled Observer Motion (Liangyin Yu and Charles R. Dyer).\u003cbr\u003e \u003cbr\u003e Section 4 -- Object Recognition.\u003cbr\u003e \u003cbr\u003e Object Recognition Research: Matched Filtering becomes Bayesian Reasoning (Robert Hummel).\u003cbr\u003e \u003cbr\u003e Finding and Describing Objects in Complex Images (Michael F. Kelly and Martin D. Levine).\u003cbr\u003e \u003cbr\u003e Networks that Learn for Image Understanding (Tomaso Poggio and Kah-Kay Sung).\u003cbr\u003e \u003cbr\u003e A Comparative Study of Three Paradigms for Object Recognition--Bayesian Statistics, Neural Networks, and Expert Systems (J. K. Aggarwal, J. Ghosh, D. Nair, and I. Taha).\u003cbr\u003e \u003cbr\u003e Section 5 -- Computer Vision Technology in Applications.\u003cbr\u003e \u003cbr\u003e Towards 3-D Model-Based Tracking of Humans in Action (D. M. Gavrila and L. S. Davis).\u003cbr\u003e \u003cbr\u003e Descriptive and Prescriptive Languages for Mobility Tasks: Are They Different? (R. Bajcsy and H. -H. Nagel).\u003cbr\u003e \u003cbr\u003e Computer Vision and Visual Information Retrieval (Ramesh Jain and Amarnath Gupta).\u003cbr\u003e \u003cbr\u003e Object-Based and Image-Based Representations of Objects by their Interiors (Hanan Samet).\u003cbr\u003e \u003cbr\u003e Section 6 -- Image Understanding in Human and Machine Intelligence.\u003cbr\u003e \u003cbr\u003e Perceptual Intelligence (Alex Pentland).\u003cbr\u003e \u003cbr\u003e Author Index.  \u003cp\u003e\u003cstrong\u003eKevin W. Bowyer\u003c\/strong\u003e is the author of \"Your Call,\" an ethics and computing column in Computer magazine, and served as chair of the Social, Ethical, Legal and Professional Issues focus group for the Year 2001 Model Curricula for Computing. He has also led workshops on Teaching Ethics and Computing for undergraduate faculty sponsored by the National Science Foundation. Currently, he is editor in chief of IEEE Transactions on Pattern Analysis and Machine Intelligence and is a member of editorial boards for several other journals. Dr. Bowyer's research interests include image understanding, pattern recognition, and medical image analysis. His research work has been supported by the National Science Foundation, Defense Advanced Research Projects Agency, the Air Force Office of Scientific Research, the Army Medical Research and Material Command, NASA, and other agencies. Presently, Dr. Bowyer is professor of computer science and engineering at the University of South Florida, where he has received numerous distinguished teaching awards. Previously, he was a computer science faculty member at Duke University and the Institute for Informatics at the Swiss Federal Technical Institute in Zurich. Dr. Bowyer is an IEEE Fellow. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNarendra Ahuja\u003c\/strong\u003e is a Research Professor in the Department. of Electrical and Computer Engineering, Beckman Institute, and Coordinated Science Laboratory at University of Illinois at Urbana-Champaign - UIUC -, and the Director of Information Technology Research Academy - ITRA -, a national initiative started by the Department of Electronics and Information Technology, Government of India.   This volume of original papers has been assembled to honor Azriel Rosenfeld, a dominant figure in the field of computer vision and image processing for over 30 years. Over this period he has made many fundamental and pioneering contributions to nearly every area in this field. Azriel Rosenfeld wrote the first textbook in the field in 1969 and was the founding editor of its first journal in 1972.  \u003c\/p\u003e\u003cp\u003eThe contributions in this book illustrate the change that have occurred in dealing with crucial research problems and the methodologies employed to solve them. The 22 papers specifically written for this text are by only a handful of researchers who have known and worked with Azriel over the years. These papers address five major themes: image segmentation, feature extraction, 3D shape estimation from 2D images, object recognition, and applications technologies.\u003c\/p\u003e","brand":"Wiley-IEEE Computer Society Pr","offers":[{"title":"Default Title","offer_id":47988683473125,"sku":"NP9780818676444","price":93.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780818676444.jpg?v=1761781227","url":"https:\/\/k12savings.com\/es\/products\/advances-in-image-understanding-isbn-9780818676444","provider":"K12savings","version":"1.0","type":"link"}