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ICCVW
1999
Springer

Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency

13 years 7 months ago
Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency
A new approach to characterizing the performance of point-correspondencealgorithmsis presented. Instead of relyingon any \ground truth', it uses the self-consistency of the outputs of an algorithm independently applied to di erent sets of views of a static scene. It allows one to evaluate algorithms for a given class of scenes, as well as to estimate the accuracy of every element of the output of the algorithm for a given set of views. Experiments to demonstrate the usefulness of the methodology are presented.
Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where ICCVW
Authors Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua
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