3D Recognition Using Neural Networks | Zendy

Mostafa Elhachloufi | Zendy; El Oirrak Ahmed | Zendy; Aboutajdine Driss | Zendy; Kaddioui Mohamed Najib | Zendy

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3D Recognition Using Neural Networks

Author(s) -

Mostafa Elhachloufi,

El Oirrak Ahmed,

Aboutajdine Driss,

Kaddioui Mohamed Najib

Publication year - 2012

Publication title -

computer and information science

Language(s) - English

Resource type - Journals

eISSN - 1913-8997

pISSN - 1913-8989

DOI - 10.5539/cis.v5n2p105

Subject(s) - computer science , affine transformation , artificial neural network , euclidean distance , similarity (geometry) , artificial intelligence , pattern recognition (psychology) , object (grammar) , cognitive neuroscience of visual object recognition , sample (material) , the internet , image (mathematics) , chemistry , mathematics , chromatography , world wide web , pure mathematics

With the advent of the Internet, exchanges and the acquisition of information, description and recognition of 3D objects have been as extensive and have become very important in several domains, which require the establishment of methods to develop description and recognition techniques to access intelligently to the contents of these objects.

This paper deals for 3D models recognition. Thus under general affine transform we propose an approach based on neural network.

The recognition is done by measuring the similarity between a sample of object and its transformed obtained by parameters extracted from neural networks using the euclidean distance

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