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Proceedings Paper

Image inpainting strategy for Kinect depth maps
Author(s): Huimin Yao; Yan Chen; Chenyang Ge
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Paper Abstract

The great advantage of Microsoft Kinect makes the depth acquisition real-time and inexpensive. But the depth maps directly obtained with the Microsoft Kinect device have absent regions and holes caused by optical factors. The noisy depth maps affect lots of complex tasks in computer vision. In order to improve the quality of the depth maps, this paper presents an efficient image inpainting strategy which is based on watershed segmentation and region merging framework of the corresponding color images. The primitive regions produced by watershed transform are merged into lager regions according to color similarity and edge among regions. Finally, mean filter operator to the adjacent pixels is used to fill up missing depth values and deblocking filter is applied for smoothing depth maps.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88780P (19 July 2013); doi: 10.1117/12.2032476
Show Author Affiliations
Huimin Yao, Xi'an Jiaotong Univ. (China)
Yan Chen, Xi'an Jiaotong Univ. (China)
Chenyang Ge, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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