An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity-invariant signatures for partially occluded planar shapes
International Journal of Computer Vision
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
A pseudo-distance measure for 2D shapes based on turning angle
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Recognizing Objects Using Scale Space Local Invariants
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Multiscale contour description for pattern recognition
Pattern Recognition Letters
Planar Shapes Descriptors Based on the Turning Angle Scalogram
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
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We present an original approach for 2-D shapes description. Based on a multi-scale analysis of closed contours, this method deals with the differential turning angle. The input contour is progressively low-pass filtered by decreasing the filter bandwidth. The output contour thus becomes increasingly smooth. At each iteration of the filtering we extract the essential points from the differential turning angle of the filtered contour to generate the d-TASS map. Experimental results show that the d-TASS map is closely related to the contour and that it is rotation, translation and scale change invariant. It is also shearing and noise resistant. This function is local-oriented and appears to be particularly suitable for pattern recognition even for those patterns that have undergone occultation.