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Proceedings Paper

A depth enhancement strategy for kinect depth image
Author(s): Wei Quan; Hua Li; Cheng Han; Yaohong Xue; Chao Zhang; Hanping Hu; Zhengang Jiang
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Paper Abstract

Kinect is a motion sensing input device which is widely used in computer vision and other related fields. However, there are many inaccurate depth data in Kinect depth images even Kinect v2. In this paper, an algorithm is proposed to enhance Kinect v2 depth images. According to the principle of its depth measuring, the foreground and the background are considered separately. As to the background, the holes are filled according to the depth data in the neighborhood. And as to the foreground, a filling algorithm, based on the color image concerning about both space and color information, is proposed. An adaptive joint bilateral filtering method is used to reduce noise. Experimental results show that the processed depth images have clean background and clear edges. The results are better than ones of traditional Strategies. It can be applied in 3D reconstruction fields to pretreat depth image in real time and obtain accurate results.

Paper Details

Date Published: 8 March 2018
PDF: 8 pages
Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090A (8 March 2018); doi: 10.1117/12.2283112
Show Author Affiliations
Wei Quan, Changchun Univ. of Science and Technology (China)
Hua Li, Changchun Univ. of Science and Technology (China)
Cheng Han, Changchun Univ. of Science and Technology (China)
Yaohong Xue, Changchun Univ. of Science and Technology (China)
Chao Zhang, Changchun Univ. of Science and Technology (China)
Hanping Hu, Changchun Univ. of Science and Technology (China)
Zhengang Jiang, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10609:
MIPPR 2017: Pattern Recognition and Computer Vision
Zhiguo Cao; Yuehuang Wang; Chao Cai, Editor(s)

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