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3D Object Recognition by Classification Using Neural Networks

3D Object Recognition by Classification Using Neural Networks
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摘要 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. 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.
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出处 《Journal of Software Engineering and Applications》 2011年第5期306-310,共5页 软件工程与应用(英文)
关键词 RECOGNITION CLASSIFICATION 3D OBJECT NEURAL Network AFFINE TRANSFORMATION Recognition Classification 3D Object Neural Network Affine Transformation
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