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Object matching based on partition information

This paper presents a new technique for object matching that exploits the information about transitions in the image obtained by means of a segmentation approach. Object matching is performed by comparing a transformed version of an object shape model (reference contour) to the contours in the image partition. The comparison is based on a distance map that measures the Euclidean distance between any point in the image to the partition contours. Examples using parametric and non-parametric reference contours are provided to assess the quality of the proposed technique.