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A Study on Disparity Correction of Occlusion using Occluding Patterns  

Kim Dae-Hyun (Digital Media R'D Center, Samsung Electronic Co., LTD)
Choi Jong-Soo (Dept. Image Eng., Graduate School of AIM, Chung-Ang Univ)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.4, 2005 , pp. 13-20 More about this Journal
Abstract
In this paper, we propose new smoothing filters, i.e., occluding patterns that can accurately correct disparities of occluded areas in the estimated disparity map. An image is composed of several layers and each layer presents similar disparity. Furthermore, the distribution of the estimated disparities has a specific direction around the boundary of the occlusion, and this distribution presents the different direction with respect to the left- and the right-based disparity map. However, typical smoothing filters, such as mean filter and median filter, did not take into account those characteristic. So, they can decrease some error, but they cannot guarantee the accuracy of the corrected disparity. On the contrary, occluding patterns can accurately correct disparities of occluded areas because they consider both the characteristic that occlusion occurs and the characteristic that disparities of the occlusion are ranged, from estimated disparity maps with respect to the left and the right images. We made experiments on occluding patterns with some real stereo image set, and as a result, we can correct disparities of occluded areas more accurately than typical smoothing filters did.
Keywords
stereo matching; disparity; smoothing fillet; occluding patterns;
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