8 March 2018 A depth enhancement strategy for kinect depth image
Author Affiliations +
Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 106090A (2018) https://doi.org/10.1117/12.2283112
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Quan, Hua Li, Cheng Han, Yaohong Xue, Chao Zhang, Hanping Hu, Zhengang Jiang, "A depth enhancement strategy for kinect depth image", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090A (8 March 2018); doi: 10.1117/12.2283112; https://doi.org/10.1117/12.2283112


On edge detector using local histogram analysis
Proceedings of SPIE (June 23 2003)
VHDL design optimization for two-dimensional filters
Proceedings of SPIE (December 29 1999)
Enhancement of out of focus images using fusion based PSF...
Proceedings of SPIE (December 29 2000)
A study of moment invariants based on pattern recognition
Proceedings of SPIE (November 24 2009)
Intensity edge detection with stack filters
Proceedings of SPIE (April 01 1991)

Back to Top