首页 | 本学科首页   官方微博 | 高级检索  
     


Strategies of Multi-view and Multi-matching for 3D Object Recognition
Affiliation:1. Department of Computer Science, University of North Carolina at Greensboro, Greensboro, NC 27402, USA;2. Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA;3. Rothschild Foundation Hospital, 29 Rue Manin, 75019 Paris, France
Abstract:A multi-view representation scheme and a multi-matching strategy for 3D object recognition are described; 3D objects are represented in terms of their 2D appearances so that 2D techniques can be applied to 3D recognition. Appearances of objects in the representation scheme are further organized in a hierarchical manner so that the matching process can reduce its search space by examining only the optimal view at every level of the representation scheme. In our multi-matching strategy, the matching module is composed of four components: point matcher, string matcher, vector matcher, and chamfer matcher. Each matcher is associated with a termination rule so that impossible views can be rejected at the early stages of the matching process. Experimental results reveal that the proposed strategies are feasible for 3D object recognition.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号