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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： EMMCVPR 2005/会议录 (书店编码:2356270) |
| 从书名： |
| 书号:3540302875 |
定价:858.8 |
| 著译者: Anand Rangarajan 著 |
销售价:815.86 |
| 出版社:湖北辞书出版社 |
| 规格:版次:1|印次:|页数:666|纸张:胶版纸|装帧:平装 |
| 出版时间:
2005年9月1日 |
上架时间:2008-12-27 15:13:00 |
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主要内容:
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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本书目录:
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 Study
II 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 Trees
III Variational Appraoaches
IV Other Approaches and Applications
Subject Inedx
Author Index
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