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	Computation of edge-edge-edge events based on conicoid theory for 3-D object recognition
	Wu Chenye ; Ma Huimin
	2010-10-12 ; 2010-10-12
关键词	Theoretical or Mathematical/ graph theory object recognition/ conicoid theory 3D object recognition three dimensional object recognition aspect graph approach edge-edge-edge event edge-vertex event viewpoint space partitioning/ B6135E Image recognition B0250 Combinatorial mathematics C1250M Image recognition C1160 Combinatorial mathematics
中文摘要	The availability of a good viewpoint space partition is crucial in three dimensional (3-D) object recognition on the approach of aspect graph. There are two important events depicted by the aspect graph approach, edge-edge-edge (EEE) events and edge-vertex (EV) events. This paper presents an algorithm to compute EEE events by characteristic analysis based on conicoid theory, in contrast to current algorithms that focus too much on EV events and often overlook the importance of EEE events. Also, the paper provides a standard flowchart for the viewpoint space partitioning based on aspect graph theory that makes it suitable for perspective models. The partitioning result best demonstrates the algorithm's efficiency with more valuable viewpoints found with the help of EEE events, which can definitely help to achieve high recognition rate for 3-D object recognition.
语种	英语
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82289]
专题	清华大学
推荐引用方式 GB/T 7714	Wu Chenye,Ma Huimin. Computation of edge-edge-edge events based on conicoid theory for 3-D object recognition[J],2010, 2010.
APA	Wu Chenye,&Ma Huimin.(2010).Computation of edge-edge-edge events based on conicoid theory for 3-D object recognition..
MLA	Wu Chenye,et al."Computation of edge-edge-edge events based on conicoid theory for 3-D object recognition".(2010).

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