The quality of interest point detectors is crucial for many computer vision applications. One of the frequently used integral methods to compare detectors' performance is repeatability score. In this work, the authors analyze the existing approach for repeatability score calculation and highlight some important weaknesses and drawbacks of this method. Then we propose a set of criteria toward more accurate integral detector performance measure and introduce a modified repeatability score calculation. We also provide illustrative examples to highlight benefits of the proposed method. © 2011 Springer-Verlag.
CITATION STYLE
Smirnov, P., Semenov, P., Redkin, A., & Chun, A. (2011). Toward accurate feature detectors performance evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6962 LNCS, pp. 51–60). https://doi.org/10.1007/978-3-642-23968-7_6
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