Application of Affine-Invariant Fourier Descriptors to Recognition of 3-D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Geometric heat equation and nonlinear diffusion of shapes and images
Computer Vision and Image Understanding
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The application of Curvature Scale Space representation in shape similarity retrieval under affine transformation is addressed in this paper. The maxima of Curvature Scale Space (CSS) image have already been used to represent 2-D shapes in different applications. The representation has shown robustness under the similarity transformations. Scaling, orientation changes, translation and even noise can be easily handled by the representation and its associated matching algorithm. In this paper, we also consider non-uniform scaling and examine the performance of the representation under affine transformations. It is observed that the performance of the method is promising even under severe deformations caused by the transformation. The method is evaluated objectively through a very large classified database and its performance is compared with the performance of two well-known methods, namely Fourier descriptors and moment invariants.