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A Study on the Occlusion Area Detection in The Stereo Image Analysis  

Woo Dong-Min (명지대학 정보공학과)
Lee Han-Ku (명지대학 정보제어공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.54, no.4, 2005 , pp. 267-273 More about this Journal
Abstract
Stereo image analysis has been an important tool for reconstructing 3D terrain. By In its nature, occlusion is one of difficulties Ive cannot avoid in stereo matching. This paper presents a study on occlusion detection by employing LRC(Left-Right Check) and OCC(Occlusion Constraint) and how we can improve the accuracy of DEM(Digital Elevation Model) y using interpolated data into the detected occluded area. Experimental results show that these method can effectively detect occluded regions and improve the accuarcy of DEM using the occlusion detection.
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