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T. Zaharia and F. Prêteux, “3D-Shape-Based Retrieval within the MPEG-7 Framework,” Proceeding SPIE Conference on Nonlinear Image Processing and Pattern Analysis XII, San Jose, Vol. 4304, 2001, pp. 133-145.

has been cited by the following article:

• 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.