New approach for 3d object forms detection using a new algorithm of SUSAN descriptor

This paper was made in the context of object recognition, and in particular, in the detection of 3D objects and their free forms by local descriptors of interest points to identify them. However, it remains to solve several problems in this area that is related to a large amount of information and invariant to scale and angle of view. In this context, our purpose is to make the recognition of a 3D object from the detection of their interest points and extract characteristics of the detection of each object to facilitate his research in a database. For this reason, we will propose a new robust detector to noise that includes criteria for extracting interest points of 3D objects by specifying their free forms, this detector, is based on SUSAN detector using differential measures for comparing it with others.