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

被引：4
|
作者：
Liu, Wei [1 ,2 ]
Xue, Haoyang [1 ,2 ]
Yu, Zhongjie [1 ,2 ]
Wu, Qiang [3 ]
Yang, Jie [1 ,2 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China
[2] Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[3] Univ Technol Sydney, Sch Comp & Commun, Sydney, NSW 2007, Australia
来源：
JOURNAL OF ELECTRONIC IMAGING | 2015年 / 24卷 / 03期
关键词：
depth map restoration; RGB-D; joint bilateral filter; smooth depth neighborhood supports; RECOVERY; FUSION;
D O I：
10.1117/1.JEI.24.3.033015
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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. (C) 2015 SPIE and IS&T
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收藏
页数：12
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