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