EMMCVPR 2011 - Abstract

Energy Minimization Methods have become an established computational paradigm in Computer Vision and Pattern Recognition. EMMCVPR 2011 is a conference dedicated to advancing the state-of-the-art regarding development and applications of energy minimization methods. As with the previous editions, the proceedings will be published by Springer in the Lecture Notes on Computer Science (LNCS) series. The size of the paper will be limited to 14 pages. The scientific program of EMMCVPR 2011 will include the presentation of invited plenary talks and contributed research papers.

Methods of interest include but are not limited to: Combinatorial Optimization Convex Programming and Relaxations PDE and Variational Methods TV and Continuous Convex Optimization Stochastic Optimization Spectral Methods Graphical Models Statistical Methods and Learning Application areas include but are not limited to: Object Recognition and Detection Scene Understanding Segmentation and Grouping Restoration and Inpainting Color and Texture Computational Photography Photo and Video Editing Motion and Tracking Matching and Registration Medical Image Analysis Pose Estimation Action and Event Recognition Shape Analysis Shape-from-X Stereo and 3D Reconstruction Multiview Geometry Vision for Graphics Other Applications