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

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