Evaluation of Interest Point Detectors

Schmid C, Mohr R, Bauckhage C (2000)
International Journal of Computer Vision 37(2): 151-172.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
Autor
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Abstract / Bemerkung
Many different low-level feature detectors exist and it is widely agreed that the evaluation of detectors is important. In this paper we introduce two evaluation criteria for interest points repeatability rate and information content. Repeatability rate evaluates the geometric stability under different transformations. Information content measures the distinctiveness of features. Different interest point detectors are compared using these two criteria. We determine which detector gives the best results and show that it satisfies the criteria well.
Erscheinungsjahr
Zeitschriftentitel
International Journal of Computer Vision
Band
37
Zeitschriftennummer
2
Seite
151-172
ISSN
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Schmid C, Mohr R, Bauckhage C. Evaluation of Interest Point Detectors. International Journal of Computer Vision. 2000;37(2):151-172.
Schmid, C., Mohr, R., & Bauckhage, C. (2000). Evaluation of Interest Point Detectors. International Journal of Computer Vision, 37(2), 151-172.
Schmid, C., Mohr, R., and Bauckhage, C. (2000). Evaluation of Interest Point Detectors. International Journal of Computer Vision 37, 151-172.
Schmid, C., Mohr, R., & Bauckhage, C., 2000. Evaluation of Interest Point Detectors. International Journal of Computer Vision, 37(2), p 151-172.
C. Schmid, R. Mohr, and C. Bauckhage, “Evaluation of Interest Point Detectors”, International Journal of Computer Vision, vol. 37, 2000, pp. 151-172.
Schmid, C., Mohr, R., Bauckhage, C.: Evaluation of Interest Point Detectors. International Journal of Computer Vision. 37, 151-172 (2000).
Schmid, Cordelia, Mohr, Roger, and Bauckhage, Christian. “Evaluation of Interest Point Detectors”. International Journal of Computer Vision 37.2 (2000): 151-172.

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