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Document type:
Technical Report 
Author(s):
Ben Glocker 
Title:
Discrete Optimization and Uncertainty Estimation in Non-rigid Image Registration 
Abstract:
Non-rigid image registration is one of the most popular problems in computer vision. Many different approaches have been used to recover the transformation between two images. Continuous methods often compute this transformation through optimization of a cost function using standard optimization methods such as gradient descent. However, in the last years discrete optimization methods have become very popular. They turned out to be powerful optimization tools in a wide range of vision problems....    »
 
Keywords:
Non-rigid Image Registration; Discrete Optimization; Uncertainties; Graph-cuts 
Year:
2007 
Year / month:
2007-01-01 00:00:00 
Pages:
72