Cited By
View all- Cozzi AWörgötter F(2019)COMVISInternational Journal of Computer Vision10.1023/A:101115600465641:3(183-194)Online publication date: 1-Jun-2019
Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency
Pages 37 - 52
Abstract
A new approach to characterizing the performance of point-correspondence algorithms is presented.Instead of relying on any "ground truth', it uses the self-consistency of the outputs of an algorithm independently applied to different 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.
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Published: 21 September 1999
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