Genetic Algorithm SAmple Consensus (GASAC) - A Parallel Strategy for Robust Parameter Estimation

Authors:
Volker Rodehorst;Olaf Hellwich
Affiliations:
Berlin University of Technology, Germany;Berlin University of Technology, Germany
Venue:
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Year:
2006

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Abstract

A new robust estimator based on an evolutionary optimization technique is proposed. The general hypothesizeand- verify strategy accelerates the parameter estimation substantially by systematic trial and parallel evaluation without the use of prior information. The method is evaluated by estimation of multi-view relations, i.e. the fundamental matrix. Additionally, some results for the trifocal geometry are presented. However, the general methodology could be used for any problem in which relations can be determined from a minimum number of points.