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Mathematical Methods in Computer Vision - the Ima Volumes in Mathematics and Its Applications Peter J Olver Softcover Reprint of Hardcover 1st Ed. 2003 edition
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Mathematical Methods in Computer Vision - the Ima Volumes in Mathematics and Its Applications
Peter J Olver
Description for Sales People: This volume contains papers presented at two successful workshops integral to the IMA annual program on Mathematics in Multimedia, 2000- 2001: Image Processing and Low Level Vision, and Image Analysis and High Level Vision. Marc Notes: Originally published: 2003.; Includes bibliographical references and index.; This volume comprises some of the key work presented at two IMA Workshops on Computer Vision during fall of 2000. Table of Contents: A large deviation theory analysis of Bayesian tree search * Expectation-based, multi-focal, saccadic vision * Statistical shape analysis in high-level vision * Maximal entropy for reconstruction of back projection images * On the Monge-Kantorovich problem and image warping * Analysis and synthesis of visual images in the brain: evidence for pattern theory * Nonlinear diffusions and optimal estimation * The Mumford-Shah functional: from segmentation to stereoPublisher Marketing: This volume comprises some of the key work presented at two IMA Workshops on Computer Vision during fall of 2000.
168 pages, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 29, 2010 |
| ISBN13 | 9781441918260 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 168 |
| Dimensions | 156 × 234 × 9 mm · 249 g |
| Language | English |
| Editor | Olver, Peter J. |
| Editor | Tannenbaum, Allen R. |
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