Curved Object Recognition Based on Geometrical Features
基于几何特征的曲面物体识别

In this paper, a method for the recognition of curved object i s presented which is based on the geometrical features of object. First, geometr ical information including Gaussian culvature, mean culvature, histogram of culv ature, entropy of culvature, etc. is extracted from scene range image, then the scence is represented as a attribute relational graph(ARG) and is matched optimi zely with model ARGs of model database. The approach is designed aimming at the recognition of artificial curved objects such as machine parts and components, e tc, the curved surface represent of that curved geometrical features is efficien t for second order curved surface. The method has been simulated on a PC compute r (PentiumII), and have got some good results. The results indicated that curved objects(such as machine parts and comonents) could be successfully recognized f rom range images with this method.The represent of curved surface in this paper could be extented to the represent of more complex curved surface, and the appro ach could also be extended to the recognition of more complex 3D curved object.