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Stereo-based dense disparity estimation for lunar surface
Du YK(杜英魁); Zheng, Wei; Zhao, Dengke; Wang, Yaonan; Han JD(韩建达)
作者部门机器人学研究室
专著(文集)名Lecture Notes in Electrical Engineering
编著者Wei Lu, Guoqiang Cai, Weibin Liu, Weiwei Xing
出版者Springer Verlag
出版地Heidelberg, Germany
2012
ISBN号978-3-642-34531-9
出处页码841-849
收录类别EI
EI收录号20124815709706
关键词Algorithms Digital Storage Image Segmentation Information Technology Textures
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.
语种英语
产权排序1
文献类型专著章节/文集论文
条目标识符http://ir.sia.cn/handle/173321/10233
专题机器人学研究室
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, N0114 Nanta Street, 110016 Shenyang, China
2.School of Information Science and Engineering, Shenyang Ligong University, 110016 Shenyang, China
3.College of Electrical and Information Engineering, Hunan University, 410082 Changsha, China
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:Springer Verlag,2012:841-849.
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