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New error measures to evaluate features on three-dimensional scenes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2011) 6978 LNCS(PART 1) 524-533
DOI: 10.1007/978-3-642-24085-0_54
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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. © 2011 Springer-Verlag.

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Bellavia, F., & Tegolo, D. (2011). New error measures to evaluate features on three-dimensional scenes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6978 LNCS, pp. 524–533). Springer Verlag. https://doi.org/10.1007/978-3-642-24085-0_54

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