New error measures to evaluate features on three-dimensional scenes

Authors:
Fabio Bellavia;Domenico Tegolo
Affiliations:
Department of Mathematics and Computer Science, University of Palermo, Palermo, Italy;Department of Mathematics and Computer Science, University of Palermo, Palermo, Italy
Venue:
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Year:
2011

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Abstract

In this paper new error measures to evaluate image features in 3D scenes are proposed and reviewed. The proposed error measures are designed to take into account feature shapes, and ground truth data can be easily estimated. As other approaches, they are not error-free and a quantitative evaluation is given according to the number of wrong matches and mismatches in order to assess their validity.