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题名: Study on epipolar geometry restoration of parallel binocular vision
作者: Gao HW(高宏伟) ; Wu CD(吴成东) ; Li B(李斌)
作者部门: 机器人学研究室
会议名称: IEEE International Conference on Robotics and Biomimetics (ROBIO 2006)
会议日期: December 17-20, 2006
会议地点: Kunming, China
会议主办者: IEEE, IEEE Robot & Automat Soc, Robot Soc Japan, Japanese Soc Mech Engineers, Peking Univ, Beijing Inst Technol, Yunnan Univ
会议录: 2006 IEEE International Conference on Robotics and Biomimetics, Vols 1-3
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2006
页码: 1123-1128
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-1-4244-0570-1
关键词: binocular vision ; epipolar geometry ; accurate matching ; connotative constraint ; gray-level cross-correlation
摘要: The epipolar geometry restoration offline and online for the parallel binocular vision system were discussed in this paper. For the former, a method that uses a common calibration board to realize automatic and accurate matching of the image corner pairs was developed; for the latter, a connotative constraint was proved by geometry theory and the corresponding cross-correlation sparse matching algorithm was introduced. The constraint was that for any space point projected into two images, the horizontal coordinate in the left image of this point is bigger than that in the right image. Standard and real images experiments were made for each kind of problem and the results show that the algorithms for each problem were valid.
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/173321/8891
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
高宏伟; 吴成东; 李斌.Study on epipolar geometry restoration of parallel binocular vision.见:IEEE .2006 IEEE International Conference on Robotics and Biomimetics, Vols 1-3,NEW YORK,2006,1123-1128
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