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