Energy Minimization Methods in Computer Vision 计算机视觉与模式识别中的能量最小化方法

书籍目录

I  Probabilistic and Informational Approaches  Adaptive Simulated Annealing for Energy Minimization Problem in a　Marked Point Process Application　A Computational Approach to Fisher Information Geometry with　Applications to Image Analysis　Optimizing the Cauchy Schwarz PDF Distance for Information　Theoretic, Nonparametric Clustering　Concurrent Stereo Matching: An Image Noise Driven Model　Color Correction of Underwater Images for Aquatic Robot Inspection　Bayesian Image Segmentation Using Gaussian Field Priors　Handling Missing Data in the Computation of 3D Affine Transformations　MaximumLikelihood Estimation of Biological Growth Variables　DeformableModel Based Textured Object Segmentation　Total Variation Minimization and a Class of Binary MRF Models　Exploiting Inference for Approximate Parameter Learning in　Discriminative Fields: An Empirical StudyII  Combinatorial Approaches　Probabilistic Subgraph Matching Based on Convex　Relaxation　Relaxation of Hard Classification Targets for LSE Minimization　Linear Programming Matching and Appearance-Adaptive Object　Tracking　Extraction of Layers of Similar Motion Through Combinatorial　Techniques　Object Categorization by Compositional Graphical Models　Learning Hierarchical Shape Models from Examples　Discontinuity Preserving Phase Unwrapping Using Graph Cuts　Retrieving Articulated 3-D Models Using Medial Surfaces and Their　Graph Spectra　Spatio-temporal Segmentation Using Dominant Sets　Stable Bounded Canonical Sets and Image Matching　Coined Quantum Walks Lift the Cospectraity of Graphs and TreesIII　Variational AppraoachesIV  Other Approaches and ApplicationsSubject InedxAuthor Index

作者简介

This book constitutes the refereed proceedings of the 5th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2005, held in St. Augustine, FL, USA in November 2005. The 24 revised full papers and 18 poster papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on probabilistic and informational approaches, combinatorial approaches, variational approaches, and other approaches and applications.

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