Scale-Based Detection of Corners of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Image Corner Detection Through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Performance evaluation of corner detectors using consistency and accuracy measures
Computer Vision and Image Understanding
Multi-scale curvature product for robust image corner detection in curvature scale space
Pattern Recognition Letters
Direct Curvature Scale Space: Theory and Corner Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space Behavior of Planar-Curve Corners
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of singularities from modulus maxima of complex wavelets
IEEE Transactions on Information Theory
IEEE Transactions on Image Processing
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An efficient corner detector based on the direct curvature scale space (DCSS) technique, referred to as the curvature product direct curvature scale space (CP-DCSS) corner detector, is introduced and studied. The contours of interested objects are extracted from a real-world image, and then their curvature functions are respectively convolved with the Gaussian function, whose standard deviation gradually increases and is treated as a scale parameter of corner detection. By measuring the product of the curvature values computed at several given scales, true corners on the contours can be easily detected since false or insignificant corners have been effectively suppressed. A point is declared as a corner when the absolute value of the curvature product exceeds a given threshold and is a local maximum at the mentioned point. CP-DCSS combines the advantages of two recently proposed corner detectors, namely, the DCSS corner detector and the multi-scale curvature product (MSCP) corner detector. Compared to DCSS, CP-DCSS omits a parsing process of the DCSS map, and hence it has a simpler structure. Compared to MSCP, CP-DCSS works equally well, however, at less computational cost.