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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