An affine invariant shape retrieval algorithm

Authors:
Changzhong Li;Baojiang Zhong;Yinan Cui
Affiliations:
School of Computer Science and Technology, Soochow University, Suzhou, China;School of Computer Science and Technology, Soochow University, Suzhou, China;School of Computer Science and Technology, Soochow University, Suzhou, China
Venue:
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Year:
2012

Citing 6
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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.