DocumentCode :
3026101
Title :
Texture-assisted Kinect depth inpainting
Author :
Miao, Dan ; Fu, Jingjing ; Lu, Yan ; Li, Shipeng ; Chen, Chang Wen
Author_Institution :
Dept. of EEIS, Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2012
fDate :
20-23 May 2012
Firstpage :
604
Lastpage :
607
Abstract :
The emergence of Kinect facilitates the possibility of depth capture in real-time and with low cost by consumers. It also provides powerful tool and inspiration for researchers to engage in new array of technology development. However, the quality of the depth map captured from Kinect is still inadequate for many applications due to holes, noises and artifacts existing within the depth information. In this paper, we present a texture assisted Kinect depth inpainting framework, aiming at obtaining improved depth information. In this framework, the relationship between texture and depth is investigated, and the characteristics of depth are also exploited. More specifically, texture edge information is extracted to assist the depth inpainting. Furthermore, filtering and diffusion are designed for hole-filling and edge alignment. Experiment results demonstrate that the Kinect depth can be appropriately repaired in both smooth and edge region. Comparing with the original depth, the inpainted depth information enhances the quality of advanced processing such as 3D reconstruction.
Keywords :
edge detection; image motion analysis; image texture; 3D reconstruction; depth map; edge alignment; edge region; hole filling alignment; smooth region; texture assisted Kinect depth inpainting; texture edge information; Data mining; Image edge detection; Kernel; Laplace equations; Real time systems; Rendering (computer graphics); Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
ISSN :
0271-4302
Print_ISBN :
978-1-4673-0218-0
Type :
conf
DOI :
10.1109/ISCAS.2012.6272103
Filename :
6272103
Link To Document :
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