TITLE:
3D Object Recognition by Classification Using Neural Networks
AUTHORS:
Mostafa Elhachloufi, Ahmed El Oirrak, Aboutajdine Driss, M. Najib Kaddioui Mohamed
KEYWORDS:
Recognition, Classification, 3D Object, Neural Network, Affine Transformation
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.4 No.5,
May
26,
2011
ABSTRACT: In this Paper, a classification method based on neural networks is presented for recognition of 3D objects. Indeed, the objective of this paper is to classify an object query against objects in a database, which leads to recognition of the former. 3D objects of this database are transformations of other objects by one element of the overall transformation. The set of transformations considered in this work is the general affine group.