文章基本信息

标题：3次元物体表現の学習と動的認識モデル
本地全文：下载
作者：藤田俊史 ; 安藤広志
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：1997
卷号：51
期号：8
页码：1249-1261
DOI：10.3169/itej.51.1249
出版社：The Institute of Image Information and Television Engineers
摘要：This paper proposes a network model that learns multiple views of 3D objects and adaptively recognizes their transformed images. The model achieves view invariance by training bidirectional networks using examples of object views. When novel, transformed images of the objects are then given to the networks, the model performs a dynamic recognition process that iterates between estimating the view using the trained networks and aligning the estimated view with the input view. Computer experiments using gray-level images of 3D objects demonstrate the flexibility of the proposed model.
关键词：3次元物体認識;教師なし学習;動的整合;視点不変性;自己想起性