product iamge

Energy Minimization Methods in Computer Vision and Pattern Recognition: 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Download
Search on Amazon

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The 26 revised full papers were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on Medical Imaging; Image Editing; 3D Reconstruction; Shape Matching; Scene Understanding; Segmentation; Superpixels; Statistical Methods and Learning.

Author(s): Haithem Boussaid, Iasonas Kokkinos, Nikos Paragios (auth.), Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai (eds.)
Series: Lecture Notes in Computer Science 8081
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2013

Language: English
Pages: 363
Tags: 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

Front Matter....Pages -
Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation....Pages 1-11
Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets....Pages 12-25
Linear Osmosis Models for Visual Computing....Pages 26-39
Analysis of Bayesian Blind Deconvolution....Pages 40-53
A Variational Method for Expanding the Bit-Depth of Low Contrast Image....Pages 54-65
Variational Shape from Light Field....Pages 66-79
Simultaneous Fusion Moves for 3D-Label Stereo....Pages 80-93
Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints....Pages 94-107
Discrete Geodesic Regression in Shape Space....Pages 108-122
Object Segmentation by Shape Matching with Wasserstein Modes....Pages 123-136
Learning a Model for Shape-Constrained Image Segmentation from Weakly Labeled Data....Pages 137-150
An Optimal Control Approach to Find Sparse Data for Laplace Interpolation....Pages 151-164
Curvature Regularization for Resolution-Independent Images....Pages 165-179
PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth....Pages 180-194
Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework....Pages 195-208
A Co-occurrence Prior for Continuous Multi-label Optimization....Pages 209-222
Convex Relaxations for a Generalized Chan-Vese Model....Pages 223-236
Multiclass Segmentation by Iterated ROF Thresholding....Pages 237-250
A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation....Pages 251-265
Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs....Pages 266-279
Contour-Relaxed Superpixels....Pages 280-293
Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm....Pages 294-306
Consensus Clustering with Robust Evidence Accumulation....Pages 307-320
Variational Image Segmentation and Cosegmentation with the Wasserstein Distance....Pages 321-334
A Convex Formulation for Global Histogram Based Binary Segmentation....Pages 335-349
A Continuous Shape Prior for MRF-Based Segmentation....Pages 350-361
Back Matter....Pages -