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

[+] Author Affiliations
Wei Liu, Haoyang Xue, Zhongjie Yu, Jie Yang

Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, 800 Dongchuan Road, Minhang District, Shanghai 200240, China

Key Laboratory of System Control and Information Processing, Ministry of Education, 800 Dongchuan Road, Minhang District, Shanghai 200240, China

Qiang Wu

University of Technology, School of Computing and Communications, UTS City Campus Building11.08.207, PO Box 123, Broadway 2007, Sydney, Australia

J. Electron. Imaging. 24(3), 033015 (May 27, 2015). doi:10.1117/1.JEI.24.3.033015
History: Received February 9, 2015; Accepted April 28, 2015
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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.

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Citation

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


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