Contour based matching technique for 3D object recognition

Abstract

This paper presents a contour matching technique for the identification of an object model corresponding to an observed object from a list of object models from range data. There are three types of edge data associated with the object and the models. These data are utilized in a hierarchical fashion, each time employing one type of edge data for pruning the models during the matching. The matching uses quarternion theory and is more suitable for the recognition of symmetric objects. The results are illustrated through simulated examples.