Directional Joint Bilateral Filter for Depth Images

被引:54
作者
Anh Vu Le [1 ]
Jung, Seung-Won [2 ]
Won, Chee Sun [1 ]
机构
[1] Dongguk Univ Seoul, Dept Elect & Elect Engn, Seoul 100715, South Korea
[2] Dongguk Univ Seoul, Dept Multimedia Engn, Seoul 100715, South Korea
基金
新加坡国家研究基金会;
关键词
depth map; image filtering; joint bilateral filter; joint trilateral filter; Kinect; ENHANCEMENT; FUSION;
D O I
10.3390/s140711362
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Depth maps taken by the low cost Kinect sensor are often noisy and incomplete. Thus, post-processing for obtaining reliable depth maps is necessary for advanced image and video applications such as object recognition and multi-view rendering. In this paper, we propose adaptive directional filters that fill the holes and suppress the noise in depth maps. Specifically, novel filters whose window shapes are adaptively adjusted based on the edge direction of the color image are presented. Experimental results show that our method yields higher quality filtered depth maps than other existing methods, especially at the edge boundaries.
引用
收藏
页码:11362 / 11378
页数:17
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