3D Object Recognition by Classification Using Neural Networks - Journal of Software Engineering and Applications

JSEA > Vol.4 No.5, May 2011

Journal of Software Engineering and Applications

Volume 4, Issue 5 (May 2011)

ISSN Print: 1945-3116 ISSN Online: 1945-3124

Google-based Impact Factor: 1.22 Citations h5-index & Ranking

3D Object Recognition by Classification Using Neural Networks ()

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DOI: 10.4236/jsea.2011.45033 4,816 Downloads 9,457 Views Citations

Author(s)

Mostafa Elhachloufi, Ahmed El Oirrak, Aboutajdine Driss, M. Najib Kaddioui Mohamed

Affiliation(s)

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.

KEYWORDS

Recognition, Classification, 3D Object, Neural Network, Affine Transformation

Share and Cite:

M. Elhachloufi, A. Oirrak, A. Driss and M. Mohamed, "3D Object Recognition by Classification Using Neural Networks," Journal of Software Engineering and Applications, Vol. 4 No. 5, 2011, pp. 306-310. doi: 10.4236/jsea.2011.45033.

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