Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Comparing and Evaluating Interest Points
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
A novel performance evaluation method of local detectors on non-planar scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
CSIFT: A SIFT Descriptor with Color Invariant Characteristics
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
Automated design of image operators that detect interest points
Evolutionary Computation
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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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.