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《JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY》 2000-01
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Dense Depth Image Recovery Using Multi Baseline Stereo Vision System

LU Hong jing, JIA Yun de (Department of Engineering Safety, Beijing Institute of Technology, Beijing100081)  
To eliminate fault correspondence, improve matching precision and recover dense depth image with high accuracy, a stereo matching method using multiple stereo pairs with various baselines was presented to obtain precise scene distance value without suffering from ambiguity. The constraints of epipolar geometry, uniqueness, smoothness and local normalizing process were imposed on the stereo images for uniquely finding corresponding points. The result shows that the errors of depth data are, on the average, less than 2 mm at distance between 1 5 m to 3 5 m away from the cameras.
【Fund】: 国家“8 6 3”计划项目
【CateGory Index】: TP391.4
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【Co-citations】
Chinese Journal Full-text Database 5 Hits
1 LIN Zong-jian①②,LIU Zheng-kun①,ZHI Xiao-dong① (①School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;② Chinese Academy of Surveying and Mapping,Beijing 100039,China);A matching method with adaptive window based on a statistical model[J];Science of Surveying and Mapping;2010-06
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5 Guan Yepeng~1 Wu Pin~2 Zhu Xiaojin~3 Lu Naijiang~4 1(School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China) 2(College of Computer Science,Shanghai University,Shanghai 200072,China) 3(School of Mechatronics and Automation,Shanghai University,Shanghai 200072,China) 4(Shanghai CBI Technology Co.,Ltd.,Shanghai 201203,China);Trinocular stereo matching algorithm based on correlation between disparities and baseline[J];Chinese Journal of Scientific Instrument;2006-11
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