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Boykov Y., Kahl F., Lempitsky V., Schmidt F. (Eds.) Energy Minimization Methods in Computer Vision and Pattern Recognition

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Boykov Y., Kahl F., Lempitsky V., Schmidt F. (Eds.) Energy Minimization Methods in Computer Vision and Pattern Recognition
Berlin: Springer, 2011. - 441 p.
This volume contains the papers presented at the 8th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2011), held at the Radisson Royal Hotel in Saint Petersburg, July 25–27, 2011. These papers demonstrate that energy minimization methods have become a mature field of research spanning a broad range of areas from discrete graph theoretic approaches and Markov random fields to variational methods and partial differential equations. Application areas include image segmentation and tracking, shape optimization and registration, inpainting and image denoising, color and texture modeling, statistics and learning. Overall, we received 52 high-quality submissions. Based on the reviewer recommendations, after double-blind review process 30 papers were selected for publication, 16 as oral and 14 as poster presentations.
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