| Energy Minimization Methods in Computer Vision and Pattern Recognition: 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, 2007 Edition Contributor(s): Yuille, Alan L. (Editor), Zhu, Song-Chun (Editor), Cremers, Daniel (Editor) |
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ISBN: 354074195X ISBN-13: 9783540741954 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: August 2007 Annotation: This book constitutes the refereed proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007, held in Ezhou, China in August 2007. The 22 revised full papers and 15 poster papers presented were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on algorithms, applications, image parsing, image processing, motion, shape, and three-dimensional processing. |
| Additional Information |
| BISAC Categories: - Computers | Computer Vision & Pattern Recognition - Computers | Computer Science - Computers | Databases - Data Mining |
| Dewey: 006.37 |
| Series: Lecture Notes in Computer Science |
| Physical Information: 1.15" H x 6.25" W x 9.15" (1.65 lbs) 500 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This volume contains the papers presented at the Sixth International Conference on Energy Minimization Methods on Computer Vision and Pattern Recognition (EMMCVPR 2007), held at the Lotus Hill Institute, Ezhou, Hubei, China, August 27-29, 2007. The motivation for this conference is the realization that many problems in computer vision and pattern recognition can be formulated in terms of probabilistic inference or optimization of energy functions. EMMCVPR 2007 addressed the critical issues of representation, learning, and inference. Important new themes include pr- abilistic grammars, image parsing, and the use of datasets with ground-truth to act as benchmarks for evaluating algorithms and as a way to train learning algorithms. Other themes include the development of efficient inference algorithms using advanced techniques from statistics, computer science, and applied mathematics. We received 140 submissions for this workshop. Each paper was reviewed by three committee members. Based on these reviews we selected 22 papers for oral presen- tion and 15 papers for poster presentation. This book makes no distinction between oral and poster papers. We have organized these papers in seven sections on al- rithms, applications, image parsing, image processing, motion, shape, and thr- dimensional processing. Finally, we thank those people who helped make this workshop happen. We - knowledge the Program Committee for their help in reviewing the papers. |