3D Object Recognition by Classification Using Neural Networks

• 作者: Aboutajdine Driss Ahmed El Oirrak M. Najib Kaddioui Mohamed Mostafa Elhachloufi
• 来源期刊: 软件工程与应用(英文)
• 学科: 工学
• 关键词: Recognition CLASSIFICATION 3D OBJECT NEURAL Network AFFINE TRANSFORMATION
• 年，卷（期）: 2011,（5）
• 页码范围: 306-310
• 页数: 5页
• 分类号: TP39

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.