6 March 2014 Discontinuity preserving depth estimation using distance transform
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Abstract
Image interpolation methods at arbitrary view positions have become quite important due to the development of threedimensional multi-view image display devices. Accurate depth information is required for natural image generation. Over the past several decades, a variety of stereo-image-based depth estimation methods have been developed to obtain high-quality depth data. However, obtaining accurate depth information still remains problematic due to difficult correspondence matching in image occlusion regions. In particular, for the discontinuous depth edge region, unclear color values exist, which lead to ineffective of corresponding matching. Thus, we propose a discontinuity preserving depth estimation method to solve the problem. The distance transform (DT) calculates the distance to the closest edge for each pixel of the input image. By controlling the color weighting term using DT values of stereo images, we carry out better correspondence matching in discontinuous regions. Experimental results indicate that the proposed method outperforms other methods. Visual comparison of the experimental results demonstrates that the proposed stereo-imagebased depth estimation method improves the quality of the depth map in discontinuous edge regions.
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Woo-Seok Jang, Woo-Seok Jang, Yo-Sung Ho, Yo-Sung Ho, } "Discontinuity preserving depth estimation using distance transform", Proc. SPIE 9011, Stereoscopic Displays and Applications XXV, 90111S (6 March 2014); doi: 10.1117/12.2038449; https://doi.org/10.1117/12.2038449
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