RGB-D depth-map restoration using smooth depth neighborhood supports

Wei Liu; Haoyang Xue; Zhongjie Yu; Qiang Wu; Jie Yang

doi:10.1117/1.JEI.24.3.033015

27 May 2015 RGB-D depth-map restoration using smooth depth neighborhood supports

Wei Liu, Haoyang Xue, Zhongjie Yu, Qiang Wu, Jie Yang

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 3, 033015 (May 2015). https://doi.org/10.1117/1.JEI.24.3.033015

Abstract

A method to restore the depth map of an RGB-D image using smooth depth neighborhood (SDN) supports is presented. The SDN supports are computed based on the corresponding color image of the depth map. Compared with the most widely used square supports, the proposed SDN supports can well-capture the local structure of the object. Only pixels with similar depth values are allowed to be included in the support. We combine our SDN supports with the joint bilateral filter (JBF) to form the SDN-JBF and use it to restore depth maps. Experimental results show that our SDN-JBF can not only rectify the misaligned depth pixels but also preserve sharp depth discontinuities.

Citation Download Citation

Wei Liu, Haoyang Xue, Zhongjie Yu, Qiang Wu, and Jie Yang "RGB-D depth-map restoration using smooth depth neighborhood supports," Journal of Electronic Imaging 24(3), 033015 (27 May 2015). https://doi.org/10.1117/1.JEI.24.3.033015

Published: 27 May 2015

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