中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Reliable depth map regeneration via a novel omnidirectional stereo sensor

文献类型:会议论文

作者He L(何雷); Luo CJ(罗川江); Geng YF(耿彦峰); Zhu F(朱枫); Hao YM(郝颖明)
出版日期2007
会议名称3rd International Symposium on Visual Computing
会议日期November 26-28, 2007
会议地点Lake Tahoe, NV
页码278-287
中文摘要We present a method to obtain dense 3D maps for a mobile robot that is equipped with a novel omnidirectional stereo vision sensor. The vision sensor is composed of a perspective camera and two hyperbolic mirrors. Once the system has been calibrated and two image points respectively projected by upper and nether mirrors are matched, the 3D coordinate of the space point can be acquired by means of triangulation. To satisfy the reliability requirement by mobile robot navigation, we use high-quality stereo matching algorithm - the graph cut method. An initial depth map can be calculated using efficient dynamic programming technique. With a relatively good initial map, the process of graph cut converges quickly. We also show the necessary modification to handle panoramic images, including deformed matching template, adaptable template scale. Experiment shows that this proposed vision system is feasible as a practical stereo sensor for accurate 3D map generation.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者UNR Comp Vis Lab, Desert Res Inst, Berkeley Lab, NASA, SIEMENS, Intel Corp, DigitalPersona, EQUINOX, hp, Ford, MITSUBISHI, Utopia Compress
会议录ADVANCES IN VISUAL COMPUTING, PT I
会议录出版者SPRINGER-VERLAG
会议录出版地BERLIN
语种英语
ISSN号0302-9743
ISBN号978-3-540-76857-9
WOS记录号WOS:000252834100028
源URL[http://ir.sia.cn/handle/173321/8016]  
专题沈阳自动化研究所_光电信息技术研究室
推荐引用方式
GB/T 7714
He L,Luo CJ,Geng YF,et al. Reliable depth map regeneration via a novel omnidirectional stereo sensor[C]. 见:3rd International Symposium on Visual Computing. Lake Tahoe, NV. November 26-28, 2007.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。