This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.
Author(s): Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker (eds.)
Series: Lecture Notes in Computer Science 8932 Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition: 1
Publisher: Springer International Publishing
Year: 2015
Language: English
Pages: 506
Tags: Pattern Recognition; Performance and Reliability; Image Processing and Computer Vision; Algorithm Analysis and Problem Complexity; Data Mining and Knowledge Discovery
Front Matter....Pages -
Convex Envelopes for Low Rank Approximation....Pages 1-14
Maximizing Flows with Message-Passing: Computing Spatially Continuous Min-Cuts....Pages 15-28
A Compact Linear Programming Relaxation for Binary Sub-modular MRF....Pages 29-42
On the Link between Gaussian Homotopy Continuation and Convex Envelopes....Pages 43-56
How Hard Is the LP Relaxation of the Potts Min-Sum Labeling Problem?....Pages 57-70
Coarse-to-Fine Minimization of Some Common Nonconvexities....Pages 71-84
Why Does Non-binary Mask Optimisation Work for Diffusion-Based Image Compression?....Pages 85-98
Expected Patch Log Likelihood with a Sparse Prior....Pages 99-111
Blind Deconvolution via Lower-Bounded Logarithmic Image Priors....Pages 112-125
Low Rank Priors for Color Image Regularization....Pages 126-140
A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓ p,q,r −norms....Pages 141-154
Inpainting of Cyclic Data Using First and Second Order Differences....Pages 155-168
Discrete Green’s Functions for Harmonic and Biharmonic Inpainting with Sparse Atoms....Pages 169-182
A Fast Projection Method for Connectivity Constraints in Image Segmentation....Pages 183-196
Two-Dimensional Variational Mode Decomposition....Pages 197-208
Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme....Pages 209-222
A Novel Active Contour Model for Texture Segmentation....Pages 223-236
Segmentation Using SubMarkov Random Walk....Pages 237-248
Automatic Shape Constraint Selection Based Object Segmentation....Pages 249-262
Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images....Pages 263-277
Variational Time-Implicit Multiphase Level-Sets....Pages 278-291
An Efficient Curve Evolution Algorithm for Multiphase Image Segmentation....Pages 292-306
A Tensor Variational Formulation of Gradient Energy Total Variation....Pages 307-320
Color Image Segmentation by Minimal Surface Smoothing....Pages 321-334
Domain Decomposition Methods for Total Variation Minimization....Pages 335-349
A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method....Pages 350-363
Optical Flow with Geometric Occlusion Estimation and Fusion of Multiple Frames....Pages 364-377
Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV....Pages 378-391
Point Sets Matching by Feature-Aware Mixture Point Matching Algorithm....Pages 392-405
Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions....Pages 406-420
Mapping the Energy Landscape of Non-convex Optimization Problems....Pages 421-435
Marked Point Process Model for Curvilinear Structures Extraction....Pages 436-449
Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights....Pages 450-463
Training of Templates for Object Recognition in Invertible Orientation Scores: Application to Optic Nerve Head Detection in Retinal Images....Pages 464-477
A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods....Pages 478-491
Hierarchical Planar Correlation Clustering for Cell Segmentation....Pages 492-504
Back Matter....Pages -
