New approach for 3D object forms detection using a new algorithm of Susan descriptor
Joint Authors
Aghnaw, Ilham
Bouikhalene, Belaid
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 4A (s) (31 Jul. 2017), pp.614-623, 10 p.
Publisher
Publication Date
2017-07-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Aghnaw, Ilham& Bouikhalene, Belaid. 2017. New approach for 3D object forms detection using a new algorithm of Susan descriptor. The International Arab Journal of Information Technology،Vol. 14, no. 4A (s), pp.614-623.
https://search.emarefa.net/detail/BIM-902977
Modern Language Association (MLA)
Aghnaw, Ilham& Bouikhalene, Belaid. New approach for 3D object forms detection using a new algorithm of Susan descriptor. The International Arab Journal of Information Technology Vol. 14, no. 4A (Special issue) (2017), pp.614-623.
https://search.emarefa.net/detail/BIM-902977
American Medical Association (AMA)
Aghnaw, Ilham& Bouikhalene, Belaid. New approach for 3D object forms detection using a new algorithm of Susan descriptor. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 4A (s), pp.614-623.
https://search.emarefa.net/detail/BIM-902977
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 622-623
Record ID
BIM-902977