Efficient Algorithms for Global Optimization Methods in Computer Vision

This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011. The 8 revised full papers presented were carefully reviewed and selected by 12 lectures given at the seminar. The seminar focused on the entire algorithmic development pipeline for global optimization problems in computer vision: modelling, mathematical analysis, numerical solvers and parallelization. In particular, the goal of the seminar was to bring together researchers from all four fields to analyze and discuss the connections between the different stages of the algorithmic design pipeline.

Discusses recent advances and challenges in the design and the solution of global optimization methods applied in computer vision for fundamental problems such as stereo reconstruction, image restoration, and object segmentation Interdisciplinary set of authors, including researchers from mathematics and computer science The contributions in this volume reflect the state of the art in the field Includes supplementary material: sn.pub/extras

Inhalt
Mathematical Optimization.- Modeling.- Nonconvex Optimization.- Shape Representations.