Screen LibraryEnergy Minimization Methods in Computer Vision and Pattern Recognition : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013 : proceedings /
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...
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| Corporate Authors: | ; |
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| Group Author: | ; ; ; ; |
| Published: |
Springer,
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| Publisher Address: | Heidelberg : |
| Publication Dates: | [2013] |
| Literature type: | eBook |
| Language: | English |
| Series: |
Lecture notes in computer science,
8081 LNCS sublibrary. SL 6, image processing, computer vision, pattern recognition, and graphics |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-642-40395-8 |
| Summary: |
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. |
| Carrier Form: | 1 online resource (xii, 363 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9783642403958 (electronic bk.) 3642403956 (electronic bk.) |
| Index Number: | TA1634 |
| CLC: | TP391.4-532 |
| Contents: |
Medical Imaging. Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation / Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets / Image Editing. Linear Osmosis Models for Visual Computing / Analysis of Bayesian Blind Deconvolution / A Variational Method for Expanding the Bit-Depth of Low Contrast Image / 3D Reconstruction. Variational Shape from Light Field / Simultaneous Fusion Moves for 3D-Label Stereo / Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints / Shape Matching. Discrete Geodesic Regression in Shape Space / Object Segmentation by Shape Matching with Wasserstein Modes / Learning a Model for Shape-Constrained Image Segmentation from Weakly Labeled Data / Image Restoration. An Optimal Control Approach to Find Sparse Data for Laplace Interpolation / Curvature Regularization for Resolution-Independent Images / Scene Understanding. PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth / Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework / A Co-occurrence Prior for Continuous Multi-label Optimization / Segmentation I. Convex Relaxations for a Generalized Chan-Vese Model / Multiclass Segmentation by Iterated ROF Thresholding / A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation / Superpixels. Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs / Contour-Relaxed Superpixels / Statistical Methods and Learning. Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm / Consensus Clustering with Robust Evidence Accumulation / Segmentation II. Variational Image Segmentation and Cosegmentation with the Wasserstein Distance / A Convex Formulation for Global Histogram Based Binary Segmentation / A Continuous Shape Prior for MRF-Based Segmentation / |