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Image retrieval through shape matching of partially occluded objects using hierarchical content description

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3 Author(s)
Y. Xu ; Rochester Univ., NY, USA ; E. Saber ; A. M. Tekalp

This paper proposes a new contour based shape matching approach capable of recognizing partially occluded objects in images. The process can be divided into the following steps: region formation from low level color image segmentation, B-spline filtering and feature point extraction, correspondence determination, least square estimation of affine transformation parameters, and similarity measuring. Once similarity is established, the information is retained using a hierarchical content description scheme, enabling expedient object based image retrieval at a later time

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Image Processing, 2000. Proceedings. 2000 International Conference on  (Volume:1 )

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