EAN: 9783642036408

ENERGY MINIMIZATION METHODS IN COMPUTER VISION ...

Overthelastdecades energyminimizationmethods havebecomeanestablished paradigm to resolve a
variety of challenges in the ?elds of computer vision and pattern recognition. While
traditional approaches to computer vision were often based on a heuristic sequence of
processing steps and merely allowed very l- ited theoretical understanding of the respective
methods  most state-of-the-art methods are nowadays based on the concept of computing solutions
to a given problem by minimizing respective energies. This volume contains the papers presented
at the 7th International Conf- ence on Energy Minimization Methods in Computer Vision and
Pattern Rec- nition (EMMCVPR 2009)  held at the University of Bonn  Germany  August 24 28 
2009. These papers demonstrate that energy minimization methods have become a mature ?eld of
research spanning a broad range of areas from discrete graph theoretic approaches and Markov
random ?elds to variational methods and partial di?erential equations. Application areas
include image segmentation and tracking  shape optimization and registration  inpainting and
image deno- ing  color and texture modeling  statistics and learning. Overall  we received 75
high-quality double-blind submissions. Based on the reviewer recommendations 
36paperswereselectedforpublication 18asoraland18asposterpresentations. Both oral and poster
papers were attributed the same number of pages in the conference proceedings. Furthermore  we
were delighted that three leading experts from the ?elds of computer vision and energy
minimization  namely  Richard Hartley (C- berra  Australia)  Joachim Weickert (Saarbruc ken 
Germany) and Guillermo Sapiro(Minneapolis USA)agreedtofurtherenrichtheconferencewithinspiring
keynote lectures.

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