New Approach for 3D Object Forms Detection Using a New Algorithm of SUSAN Descriptor

New Approach for 3D Object Forms Detection Using a New Algorithm of SUSAN Descriptor

Ilhame Agnaou1 and Belaid Bouikhalene2

1Information Processing and Telecommunication Team, Sultan Moulay Slimane University, Morocco

2Department of Mathematics and Computer, Sultan Moulay Slimane University, Morocco

Abstract: 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.

Keywords: Recognition, detection, 3D objects, detector, descriptor, interest points

Received February 24, 2017; accepted May 10, 2017

Read 2725 times Last modified on Tuesday, 18 July 2017 06:01
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