Stereo-based dense disparity estimation for lunar surface
Du YK(杜英魁); Zheng, Wei; Zhao, Dengke; Wang, Yaonan; Han JD(韩建达)
专著(文集)名Lecture Notes in Electrical Engineering
其他责任者Wei Lu, Guoqiang Cai, Weibin Liu, Weiwei Xing
2012
出版者Springer Verlag ; Springer Verlag
出版地Heidelberg, Germany ; Heidelberg, Germany
出处页码841-849
关键词Algorithms Digital storage Image segmentation Information technology Textures Algorithms Digital storage Image segmentation Information technology Textures
出版者Springer Verlag ; Springer Verlag
出版地Heidelberg, Germany ; Heidelberg, Germany
收录类别EI
关键词Algorithms Digital storage Image segmentation Information technology Textures Algorithms Digital storage Image segmentation Information technology Textures
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中文摘要A stereo-based dense disparity estimation algorithm is proposed to build high quality dense disparity map of lunar surface under special illumination, weak texture and occlusion condition. To avoidance the serious shadow effect effectively, intrinsic image of stereo images are preprocessed. A color similarity probability based belief propagation algorithm (BP) is proposed to solve the depth discontinuous problem of occlusion and obtain an initial dense disparity map. Mean-Shift segmentation algorithm and adaptive threshold optimization are utilized to improve the precision of initial dense disparity map of weak and high similarity texture region in stereo images. Experimental results of the images of standard test library and the stereo images of simulated lunar surface validate that our algorithm is robust to build high quality stereo dense disparity map for Lunar surface.
ISBN号978-3-642-34531-9
ISSN号1876-1100
语种英语
内容类型专著章节/文集论文
源URL[http://ir.sia.cn/handle/173321/10233]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Du YK,Zheng, Wei,Zhao, Dengke,et al. Stereo-based dense disparity estimation for lunar surface. Lecture Notes in Electrical Engineering. Heidelberg, Germany, Heidelberg, Germany:Springer Verlag, Springer Verlag,2012:841-849.
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