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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
A Novel Bidirectional Framework for Control and Refinement of Area Based Correlation Techniques
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
Peter Werth, Austrian Academy of Sciences and Graz University of Technology
Stefan Scherer, Graz University of Technology
A key issue in performing stereo reconstruction is to find stereo correspondences. For this purpose, a novel unified framework for arbitrary area based correlation methods is presented. The commonly neglected problem of ambiguities is addressed and a solution based on relaxation of match candidates is introduced. The method comes with the major benefits of a reverse matching step at almost no extra computational cost. The results of one match direction are used to select match candidates. Then these candidates are correlated backward with a different method. The proposed framework does not require any initial estimation. Experiments are performed on ground truth under varying geometric and varying noise conditions. Finally, the method is compared to a number of well-known techniques.
Index Terms:
Stereoscopic Image Matching, Reverse Matching, Robust Stereo Vision
Citation:
Peter Werth, Stefan Scherer, "A Novel Bidirectional Framework for Control and Refinement of Area Based Correlation Techniques," icpr, vol. 3, pp.3738, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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