Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings

✍ Scribed by Olga Veksler (auth.), Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2009
• Tongue: English
• Leaves: 501
• Series: Lecture Notes in Computer Science 5681 : Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2009, held in Bonn, Germany in August 2009.

The 18 revised full papers, 18 poster papers and 3 keynote lectures presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on discrete optimization and Markov random fields, partial differential equations, segmentation and tracking, shape optimization and registration, inpainting and image denoising, color and texture and statistics and learning.

✦ Table of Contents

Front Matter....Pages -
Multi-label Moves for MRFs with Truncated Convex Priors....Pages 1-13
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow....Pages 14-27
Efficient Global Minimization for the Multiphase Chan-Vese Model of Image Segmentation....Pages 28-41
Bipartite Graph Matching Computation on GPU....Pages 42-55
Pose-Invariant Face Matching Using MRF Energy Minimization Framework....Pages 56-69
Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction....Pages 70-83
General Search Algorithms for Energy Minimization Problems....Pages 84-97
Complex Diffusion on Scalar and Vector Valued Image Graphs....Pages 98-111
A PDE Approach to Coupled Super-Resolution with Non-parametric Motion....Pages 112-125
On a Decomposition Model for Optical Flow....Pages 126-139
A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis....Pages 140-153
Computing the Local Continuity Order of Optical Flow Using Fractional Variational Method....Pages 154-167
A Local Normal-Based Region Term for Active Contours....Pages 168-181
Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels....Pages 182-192
Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV....Pages 193-206
Complementary Optic Flow....Pages 207-220
Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images....Pages 221-234
Three Dimensional Monocular Human Motion Analysis in End-Effector Space....Pages 235-248
Robust Segmentation by Cutting across a Stack of Gamma Transformed Images....Pages 249-260
Integrating the Normal Field of a Surface in the Presence of Discontinuities....Pages 261-273
Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence....Pages 274-287
Geodesics in Shape Space via Variational Time Discretization....Pages 288-302
Image Registration under Varying Illumination: Hyper-Demons Algorithm....Pages 303-316
Hierarchical Vibrations: A Structural Decomposition Approach for Image Analysis....Pages 317-330
Exemplar-Based Interpolation of Sparsely Sampled Images....Pages 331-344
A Variational Framework for Non-local Image Inpainting....Pages 345-358
Image Filtering Driven by Level Curves....Pages 359-372
Color Image Restoration Using Nonlocal Mumford-Shah Regularizers....Pages 373-387
Reconstructing Optical Flow Fields by Motion Inpainting....Pages 388-400
Color Image Segmentation in a Quaternion Framework....Pages 401-414
Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel....Pages 415-428
Locally Parallel Textures Modeling with Adapted Hilbert Spaces....Pages 429-442
Global Optimal Multiple Object Detection Using the Fusion of Shape and Color Information....Pages 443-454
Human Age Estimation by Metric Learning for Regression Problems....Pages 455-465
Clustering-Based Construction of Hidden Markov Models for Generative Kernels....Pages 466-479
Boundaries as Contours of Optimal Appearance and Area of Support....Pages 480-491
Back Matter....Pages -

✦ Subjects

Pattern Recognition; Performance and Reliability; Image Processing and Computer Vision; Algorithm Analysis and Problem Complexity; Computer Imaging, Vision, Pattern Recognition and Graphics; Data Mining and Knowledge Discovery