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题名: 3D visual methods for object pose measurement
作者: Hao YM(郝颖明) ; Zhu F(朱枫) ; Ou JJ(欧锦军)
作者部门: 机器人学研究室
会议名称: Conference on Visualization and Optimization Techniques
会议日期: October 22-24, 2001
会议地点: WUHAN, China
会议主办者: SPIE, Huazhong Univ, Sci & Technol, Univ Bordeaux III, Univ Penn, Wuhan Univ, Chinese Acad Sci, Beijing Inst Environm Features, Tsinghua Univ, Natl Nat Sci Fdn China, Minist Educ China
会议录: VISUALIZATION AND OPTIMIZATION TECHNIQUES
会议录出版者: SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地: BELLINGHAM
出版日期: 2001
页码: 78-82
收录类别: CPCI(ISTP) ; EI
ISSN号: 0277-786X
ISBN号: 0-8194-4281-X
关键词: Monocular vision ; Object pose ; 3D measurement ; Measurement precision ; Quantization error ; Model-based
摘要: It is a hotspot problem in robotics research that determine the related pose between two space objects and realize their cooperate, 3D visual method is the main method for measures the space object pose. Because the rigidity demand during pose computes. the 3D vision at this condition is model based. That is to say the model of the marks must be used as a strict restriction during the computing. This paper will give the method of computing 3D pose at first and discuss the model restriction problem emphatically, include model-based monocular vision method and model-based binocular stereo. The compare analysis between the two methods and the experiment result will be given at last.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8461
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
郝颖明; 朱枫; 欧锦军.3D visual methods for object pose measurement.见:SPIE-INT SOC OPTICAL ENGINEERING.VISUALIZATION AND OPTIMIZATION TECHNIQUES,BELLINGHAM,2001,78-82
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