首页    期刊浏览 2024年12月04日 星期三
登录注册

文章基本信息

  • 标题:3D Object Recognition by Classification Using Neural Networks
  • 本地全文:下载
  • 作者:Mostafa Elhachloufi ; Ahmed El Oirrak ; Aboutajdine Driss
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2011
  • 卷号:4
  • 期号:5
  • 页码:306-310
  • DOI:10.4236/jsea.2011.45033
  • 出版社:Scientific Research Publishing
  • 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.
  • 关键词:Recognition; Classification; 3D Object; Neural Network; Affine Transformation
国家哲学社会科学文献中心版权所有