Enhanced Shape Context for Object Recognition

Abstract

This paper presents an enhanced approach to recognize objects based on a similarity measure obtained from shape context. Typically, shape context computation samples at regular interval on the contour of an object without regard to landmarks. Corner points of an object being landmarks on the contour; set of corner points is a good descriptor of shape. The paper explores the possibility of computing shape context by sampling the corner points using arch height. Sampling on this boundary feature of the object considerably reduces the number of points. Landmark based shape context provides a stricter algorithm on similarity. Shape context based object recognition being an iterative process involving comparisons and transformations, the reduction in the number of sample points provides a basis for faster recognition of similar objects.