Abstract
The Curvature Scale-Space (CSS) technique has been selected in MPEG-7 for shape similarity retrieval. While the technique is invariant to shape transformations with respect to four parameters namely zoom, rotation and translation (which needs two parameters to represent), our algorithm proposed in the paper, called Affine CSS (ACSS), treats the two left over parameters. Against any prognosis, simulating all views depend on these two parameters is feasible. The enriched algorithm is used to find similar shapes from a very large prototype database, and also a small classified database of marine creatures, which consists of original as well as affine transformed shapes. An improvement is observed over the conventional CSS algorithm.
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Li, C., Zhong, B., Cui, Y. (2013). An Affine Invariant Shape Retrieval Algorithm. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_94
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DOI: https://doi.org/10.1007/978-3-642-36669-7_94
Publisher Name: Springer, Berlin, Heidelberg
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