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Energy Minimization Methods in Computer Vision and Pattern Recognition [electronic resource] : 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings / edited by Alan L. Yuille, Song-Chun Zhu, Daniel Cremers, Yongtian Wang.

Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Format/Description:
Book
1 online resource (XII, 500 pages)
Edition:
1st ed. 2007.
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics SL 6, 4679
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4679
Contained In:
Springer eBooks
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Subjects:
Optical data processing.
Pattern perception.
Artificial intelligence.
Computer graphics.
Algorithms.
Data mining.
Local subjects:
Image Processing and Computer Vision. (search)
Pattern Recognition. (search)
Artificial Intelligence. (search)
Computer Graphics. (search)
Algorithm Analysis and Problem Complexity. (search)
Data Mining and Knowledge Discovery. (search)
System Details:
text file PDF
Summary:
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.
Contents:
Algorithms
An Effective Multi-level Algorithm Based on Simulated Annealing for Bisecting Graph
Szemerédi's Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation
Exact Solution of Permuted Submodular MinSum Problems
Efficient Shape Matching Via Graph Cuts
Simulating Classic Mosaics with Graph Cuts
An Energy Minimisation Approach to Attributed Graph Regularisation
Applications to Faces and Text
A Pupil Localization Algorithm Based on Adaptive Gabor Filtering and Negative Radial Symmetry
Decomposing Document Images by Heuristic Search
CIDER: Corrected Inverse-Denoising Filter for Image Restoration
Skew Detection Algorithm for Form Document Based on Elongate Feature
Active Appearance Models Fitting with Occlusion
Combining Left and Right Irises for Personal Authentication
Image Parsing
Bottom-Up Recognition and Parsing of the Human Body
to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks
An Automatic Portrait System Based on And-Or Graph Representation
Object Category Recognition Using Generative Template Boosting
Bayesian Inference for Layer Representation with Mixed Markov Random Field
Image Processing
Dichromatic Reflection Separation from a Single Image
Noise Removal and Restoration Using Voting-Based Analysis and Image Segmentation Based on Statistical Models
A Boosting Discriminative Model for Moving Cast Shadow Detection
Motion Analysis
An a Contrario Approach for Parameters Estimation of a Motion-Blurred Image
Improved Object Tracking Using an Adaptive Colour Model
Vehicle Tracking Based on Image Alignment in Aerial Videos
Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling
Compositional Object Recognition, Segmentation, and Tracking in Video
Bayesian Order-Adaptive Clustering for Video Segmentation
Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis
Shape Analysis
Discrete Skeleton Evolution
Shape Classification Based on Skeleton Path Similarity
Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves
Shape Analysis of Open Curves in ?3 with Applications to Study of Fiber Tracts in DT-MRI Data
Three-Dimensional Processing
Energy-Based Reconstruction of 3D Curves for Quality Control
3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes
Continuous Global Optimization in Multiview 3D Reconstruction
A New Bayesian Method for Range Image Segmentation
Marked Point Process for Vascular Tree Extraction on Angiogram
Surface Reconstruction from LiDAR Data with Extended Snake Theory.
Contributor:
Yuille, A. L. (Alan L.), editor., Editor,
Zhu, Song Chun, editor., Editor,
Cremers, Daniel, editor., Editor,
Wang, Yongtian, editor., Editor,
SpringerLink (Online service)
Other format:
Printed edition:
Printed edition:
ISBN:
978-3-540-74198-5
9783540741985
Publisher Number:
10.1007/978-3-540-74198-5 doi
Access Restriction:
Restricted for use by site license.