Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 {u2013} November 1, 2017, Revised Selected Papers

This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017. The 37 revised full papers were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on Clustering and Quantum Methods; Motion and Tracking; Image Processing and Segmentation; Color, Shading and Reflectance of Light; Propagation and Time-evolution; and Inference, Labeling, and Relaxation. Front Matter ....Pages I-XII Front Matter ....Pages 1-1 Ising Models for Binary Clustering via Adiabatic Quantum Computing (Christian Bauckhage, E. Brito, K. Cvejoski, C. Ojeda, Rafet Sifa, S. Wrobel)....Pages 3-17 Quantum Interference and Shape Detection (Davi Geiger, Zvi M. Kedem)....Pages 18-33 Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation (Stefan Kinauer, Riza Alp Güler, Siddhartha Chandra, Iasonas Kokkinos)....Pages 34-48 Dominant Set Biclustering (Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Marcello Pelillo)....Pages 49-61 Bragg Diffraction Patterns as Graph Characteristics (Francisco Escolano, Edwin R. Hancock)....Pages 62-75 Front Matter ....Pages 77-77 Variational Large Displacement Optical Flow Without Feature Matches (Michael Stoll, Daniel Maurer, Andrés Bruhn)....Pages 79-92 Temporal Semantic Motion Segmentation Using Spatio Temporal Optimization (Nazrul Haque, N. Dinesh Reddy, Madhava Krishna)....Pages 93-108 Depth-Adaptive Computational Policies for Efficient Visual Tracking (Chris Ying, Katerina Fragkiadaki)....Pages 109-122 Multiframe Motion Coupling for Video Super Resolution (Jonas Geiping, Hendrik Dirks, Daniel Cremers, Michael Moeller)....Pages 123-138 Illumination-Aware Large Displacement Optical Flow (Michael Stoll, Daniel Maurer, Sebastian Volz, Andrés Bruhn)....Pages 139-154 Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators (Shengze Cai, Etienne Mémin, Pierre Dérian, Chao Xu)....Pages 155-171 Front Matter ....Pages 173-173 Autonomous Multi-camera Tracking Using Distributed Quadratic Optimization (Yusuf Osmanlıoğlu, Bahareh Shakibajahromi, Ali Shokoufandeh)....Pages 175-188 Nonlinear Compressed Sensing for Multi-emitter X-Ray Imaging (Maria Klodt, Raphael Hauser)....Pages 189-204 Unified Functional Framework for Restoration of Image Sequences Degraded by Atmospheric Turbulence (Naftali Zon, Nahum Kiryati)....Pages 205-219 A Convex Approach to K-Means Clustering and Image Segmentation (Laurent Condat)....Pages 220-234 Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation (Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis)....Pages 235-248 Optimizing Wavelet Bases for Sparser Representations (Thomas Grandits, Thomas Pock)....Pages 249-262 Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation (Qibin Hou, Daniela Massiceti, Puneet Kumar Dokania, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr)....Pages 263-277 Vehicle X-Ray Images Registration (Abraham Marciano, Laurent D. Cohen, Najib Gadi)....Pages 278-293 Front Matter ....Pages 295-295 Superpixels Optimized by Color and Shape (Vitaliy Kurlin, Donald Harvey)....Pages 297-311 Maximum Consensus Parameter Estimation by Reweighted \(\ell _1\) Methods (Pulak Purkait, Christopher Zach, Anders Eriksson)....Pages 312-327 A Graph Theoretic Approach for Shape from Shading (Robert Scheffler, Ashkan Mansouri Yarahmadi, Michael Breuß, Ekkehard Köhler)....Pages 328-341 A Variational Approach to Shape-from-Shading Under Natural Illumination (Yvain Quéau, Jean Mélou, Fabien Castan, Daniel Cremers, Jean-Denis Durou)....Pages 342-357 Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm (Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo)....Pages 358-371 Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination (Antonin Sulc, Ole Johannsen, Bastian Goldluecke)....Pages 372-388 Shadow and Specularity Priors for Intrinsic Light Field Decomposition (Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke)....Pages 389-406 Front Matter ....Pages 407-407 Modelling Stable Backward Diffusion and Repulsive Swarms with Convex Energies and Range Constraints (Leif Bergerhoff, Marcelo Cardénas, Joachim Weickert, Martin Welk)....Pages 409-423 Euler-Lagrange Network Dynamics (Jianjia Wang, Richard C. Wilson, Edwin R. Hancock)....Pages 424-438 Slack and Margin Rescaling as Convex Extensions of Supermodular Functions (Matthew B. Blaschko)....Pages 439-454 Multi-object Convexity Shape Prior for Segmentation (Lena Gorelick, Olga Veksler)....Pages 455-468 Fast Asymmetric Fronts Propagation for Voronoi Region Partitioning and Image Segmentation (Da Chen, Laurent D. Cohen)....Pages 469-484 PointFlow: A Model for Automatically Tracing Object Boundaries and Inferring Illusory Contours (Fang Yang, Alfred M. Bruckstein, Laurent D. Cohen)....Pages 485-498 An Isotropic Minimal Path Based Framework for Segmentation and Quantification of Vascular Networks (Emmanuel Cohen, Laurent D. Cohen, Thomas Deffieux, Mickael Tanter)....Pages 499-513 Front Matter ....Pages 515-515 Limited-Memory Belief Propagation via Nested Optimization (Christopher Zach)....Pages 517-532 Geometric Image Labeling with Global Convex Labeling Constraints (Artjom Zern, Karl Rohr, Christoph Schnörr)....Pages 533-547 Discretized Convex Relaxations for the Piecewise Smooth Mumford-Shah Model (Christopher Zach, Christian Häne)....Pages 548-563 A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials (Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip Torr)....Pages 564-579 Back Matter ....Pages 581-582 Energy Minimization Methods in Computer Vision and Pattern Recognition: Second International Workshop, EMMCVPR’99 York, UK, July 26–29, 1999 Proceedings Author: Edwin R. Hancock, Marcello Pelillo Published by Springer Berlin Heidelberg ISBN: 978-3-540-66294-5 DOI: 10.1007/3-540-48432-9 Table of Contents: A Hamiltonian Approach to the Eikonal Equation Topographic Surface Structure from 2D Images Using Shape-from-Shading Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization Deformation Energy for Size Functions On Fitting Mixture Models Bayesian Models for Finding and Grouping Junctions Semi-iterative Inferences with Hierarchical Energy-Based Models for Image Analysis Metropolis vs Kawasaki Dynamic for Image Segmentation Based on Gibbs Models Hyperparameter Estimation for Satellite Image Restoration by a MCMCML Method Auxiliary Variables for Markov Random Fields with Higher Order Interactions Unsupervised Multispectral Image Segmentation Using Generalized Gaussian Noise Model Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach Adaptive Pixel-Based Data Fusion for Boundary Detection Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking A New Algorithm for Energy Minimization with Discontinuities Convergence of a Hill Climbing Genetic Algorithm for Graph Matching A New Distance Measure for Non-rigid Image Matching Continuous-Time Relaxation Labeling Processes Realistic Animation Using Extended Adaptive Mesh for Model Based Coding Maximum Likelihood Inference of 3D Structure from Image Sequences