In this paper

a method for the recognition of curved object is presented which is based on the geometrical features of object. First

geometrical information including Gaussian culvature

mean culvature

histogram of culvature

entropy of culvature

etc. is extracted from scene range image

then the scence is represented as a attribute relational graph(ARG) and is matched optimizely with model ARGs of model database. The approach is designed aimming at the recognition of artificial curved objects such as machine parts and components

etc

the curved surface represent of that curved geometrical features is efficient for second order curved surface. The method has been simulated on a PC computer (PentiumII)

and have got some good results. The results indicated that curved objects(such as machine parts and comonents) could be successfully recognized from 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 approach could also be extended to the recognition of more complex 3D curved object.