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A fast spin images matching method for 3D object recognition
Wang MM(王明明); Hao YM(郝颖明); Zhu F(朱枫)
作者部门光电信息技术研究室
会议名称5th International Symposium on Photoelectronic Detection and Imaging 2013
会议日期June 25-27, 2013
会议地点Beijing, China
会议录名称Proceedings of the SPIE
出版者SPIE-INT SOC OPTICAL ENGINEERING
出版地BELLINGHAM
2013
页码7 pp.
收录类别EI ; CPCI(ISTP)
EI收录号20134817032762
WOS记录号WOS:000326651200092
产权排序1
ISSN号0277-786X
关键词3d Object Recognition Matching Spin Image
摘要Spin image has been applied to 3D object recognition system successfully because of its advantages of rotation, translation and view invariant. However, this method is very time consuming, owning to its high-dimensional characteristics and its complicated matching procedure. To reduce the recognition time, in this paper we propose a coarse-to-fine matching strategy for spin images. There are two steps to follow. Firstly, a low dimensional feature is introduced for a given point. The feature contain two components, its first component is the perpendicular distance from the centroid of the given point’s neighbor region to the tangential plane of the given point, its second component is the maximum distance between the projection point of the centroid on the tangential plane and projection points of the neighbor region on the tangential plane. Secondly when comparing a point from a target with a point from a model, their low features are matched first, only if they satisfy the low feature constrains, can they be selected as a candidate point pair and their spin images are further matched by similarity measurement. When all the target points and all the model points finish above matching process, those candidate point pairs with high spin image similarity are selected as corresponding point pairs, and the target can be recognized as the model with the most amount of corresponding point pairs. Experiment based on Stanford 3D models is conducted, and the comparison of experiment results of our method with the standard spin image shows that the propose method is more efficient while still maintain the standard spin image’s advantages. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13843
专题光电信息技术研究室
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Wang MM,Hao YM,Zhu F. A fast spin images matching method for 3D object recognition[C]. BELLINGHAM:SPIE-INT SOC OPTICAL ENGINEERING,2013:7 pp..
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