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.
Author(s): Lingyu Sun, Ming Leng (auth.), Alan L. Yuille, Song-Chun Zhu, Daniel Cremers, Yongtian Wang (eds.)
Series: Lecture Notes in Computer Science 4679 : Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2007
Language: English
Pages: 500
Tags: Pattern Recognition; Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Computer Graphics; Algorithm Analysis and Problem Complexity; Data Mining and Knowledge Discovery
Front Matter....Pages -
An Effective Multi-level Algorithm Based on Simulated Annealing for Bisecting Graph....Pages 1-12
Szemerédi’s Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation....Pages 13-27
Exact Solution of Permuted Submodular MinSum Problems....Pages 28-38
Efficient Shape Matching Via Graph Cuts....Pages 39-54
Simulating Classic Mosaics with Graph Cuts....Pages 55-70
An Energy Minimisation Approach to Attributed Graph Regularisation....Pages 71-86
A Pupil Localization Algorithm Based on Adaptive Gabor Filtering and Negative Radial Symmetry....Pages 87-96
Decomposing Document Images by Heuristic Search....Pages 97-111
CIDER: Corrected Inverse-Denoising Filter for Image Restoration....Pages 112-126
Skew Detection Algorithm for Form Document Based on Elongate Feature....Pages 127-136
Active Appearance Models Fitting with Occlusion....Pages 137-144
Combining Left and Right Irises for Personal Authentication....Pages 145-152
Bottom-Up Recognition and Parsing of the Human Body....Pages 153-168
Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks....Pages 169-183
An Automatic Portrait System Based on And-Or Graph Representation....Pages 184-197
Object Category Recognition Using Generative Template Boosting....Pages 198-212
Bayesian Inference for Layer Representation with Mixed Markov Random Field....Pages 213-224
Dichromatic Reflection Separation from a Single Image....Pages 225-241
Noise Removal and Restoration Using Voting-Based Analysis and Image Segmentation Based on Statistical Models....Pages 242-252
A Boosting Discriminative Model for Moving Cast Shadow Detection....Pages 253-266
An a Contrario Approach for Parameters Estimation of a Motion-Blurred Image....Pages 267-279
Improved Object Tracking Using an Adaptive Colour Model....Pages 280-294
Vehicle Tracking Based on Image Alignment in Aerial Videos....Pages 295-302
Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling....Pages 303-317
Compositional Object Recognition, Segmentation, and Tracking in Video....Pages 318-333
Bayesian Order-Adaptive Clustering for Video Segmentation....Pages 334-349
Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis....Pages 350-361
Discrete Skeleton Evolution....Pages 362-374
Shape Classification Based on Skeleton Path Similarity....Pages 375-386
Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves....Pages 387-398
Shape Analysis of Open Curves in ℝ 3 with Applications to Study of Fiber Tracts in DT-MRI Data....Pages 399-413
Energy-Based Reconstruction of 3D Curves for Quality Control....Pages 414-428
3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes....Pages 429-440
Continuous Global Optimization in Multiview 3D Reconstruction....Pages 441-452
A New Bayesian Method for Range Image Segmentation....Pages 453-466
Marked Point Process for Vascular Tree Extraction on Angiogram....Pages 467-478
Surface Reconstruction from LiDAR Data with Extended Snake Theory....Pages 479-492
Back Matter....Pages -
