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Proceedings Paper

A computationally efficient denoising and hole-filling method for depth image enhancement
Author(s): Soulan Liu; Chen Chen; Nasser Kehtarnavaz
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Paper Abstract

Depth maps captured by Kinect depth cameras are being widely used for 3D action recognition. However, such images often appear noisy and contain missing pixels or black holes. This paper presents a computationally efficient method for both denoising and hole-filling in depth images. The denoising is achieved by utilizing a combination of Gaussian kernel filtering and anisotropic filtering. The hole-filling is achieved by utilizing a combination of morphological filtering and zero block filtering. Experimental results using the publicly available datasets are provided indicating the superiority of the developed method in terms of both depth error and computational efficiency compared to three existing methods.

Paper Details

Date Published: 29 April 2016
PDF: 9 pages
Proc. SPIE 9897, Real-Time Image and Video Processing 2016, 98970V (29 April 2016); doi: 10.1117/12.2230495
Show Author Affiliations
Soulan Liu, Changzhou Univ. (China)
The Univ. of Texas at Dallas (United States)
Chen Chen, The Univ. of Texas at Dallas (United States)
Nasser Kehtarnavaz, The Univ. of Texas at Dallas (United States)


Published in SPIE Proceedings Vol. 9897:
Real-Time Image and Video Processing 2016
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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