New Error Measures to Evaluate Features on Three-Dimensional Scenes

  • Fabio Bellavia
  • Domenico Tegolo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6978)


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.


Feature detector feature descriptor feature matching feature comparison overlap error epipolar geometry 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Fabio Bellavia
    • 1
  • Domenico Tegolo
    • 1
  1. 1.Department of Mathematics and Computer ScienceUniversity of PalermoPalermoItaly

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