Image Processing, Computer Vision, Pattern Recognition, and Graphics

Energy Minimization Methods in Computer Vision and Pattern Recognition

6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings

Editors: Yuille, A.L., Zhu, S.-C., Cremers, D., Wang, Y. (Eds.)

  • Presents the refereed proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
  • Includes twenty-two full papers and fifteen poster papers
  • Covers algorithms, applications, image parsing, image processing, motion, shape, and three-dimensional processing
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eBook $109.00
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  • ISBN 978-3-540-74198-5
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  • Immediate eBook download after purchase
Softcover $149.00
price for USA
  • ISBN 978-3-540-74195-4
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About this book

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.

Table of contents (37 chapters)

  • An Effective Multi-level Algorithm Based on Simulated Annealing for Bisecting Graph

    Sun, Lingyu (et al.)

    Pages 1-12

  • Szemerédi’s Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation

    Sperotto, Anna (et al.)

    Pages 13-27

  • Exact Solution of Permuted Submodular MinSum Problems

    Schlesinger, Dmitrij

    Pages 28-38

  • Efficient Shape Matching Via Graph Cuts

    Schmidt, Frank R. (et al.)

    Pages 39-54

  • Simulating Classic Mosaics with Graph Cuts

    Liu, Yu (et al.)

    Pages 55-70

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-540-74198-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $149.00
price for USA
  • ISBN 978-3-540-74195-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Energy Minimization Methods in Computer Vision and Pattern Recognition
Book Subtitle
6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings
Editors
  • Alan L. Yuille
  • Song-Chun Zhu
  • Daniel Cremers
  • Yongtian Wang
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
4679
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-74198-5
DOI
10.1007/978-3-540-74198-5
Softcover ISBN
978-3-540-74195-4
Edition Number
1
Number of Pages
XII, 500
Topics