中国科学院机构知识库网格系统: Characteristic point match algorithm based on the SURF in binocular stereo vision (EI CONFERENCE)

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

Characteristic point match algorithm based on the SURF in binocular stereo vision (EI CONFERENCE)

文献类型：会议论文


作者	Wang L.; Wang L.; Wang L.; Yang L.; Yang L.; Wang X.; Wang X.; Wang X.
出版日期	2012
会议名称	5th International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2012, November 1, 2012 - November 3, 2012
会议地点	Tianjin, China
关键词	One of the main components of the computer vision is 3D reconstruction. Extracts and the match based on two-dimensional picture characteristic point is the 3D reconstruction technology core. Taking binocular stereoscopic vision theory as a foundation through extracts the characteristics of SURF based on the multi-scale analysis this feature has specific scale reproducibility put the epipolar constraints and disparity constraints as conditions judgement to specific screening it is greatly reduced the search range. The experiment use the matching method for three different actual scenes the results shows that the method can enhance the image matching speed and precision and can get more precise dense parallax used for reconstruction complete scene. 2012 IEEE.
页码	302-305
收录类别	EI
源URL	[http://ir.ciomp.ac.cn/handle/181722/33248]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Wang L.,Wang L.,Wang L.,et al. Characteristic point match algorithm based on the SURF in binocular stereo vision (EI CONFERENCE)[C]. 见:5th International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2012, November 1, 2012 - November 3, 2012. Tianjin, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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