NDLI: Depth image enhancement for Kinect using region growing and bilateral filter

Content Provider	IEEE Xplore Digital Library
Author	Li Chen Hui Lin Shutao Li
Copyright Year	2012
Description	Author affiliation: College of Electrical and Information Engineering, Hunan University, Changsha, China 410082 (Li Chen; Hui Lin; Shutao Li)
Abstract	Microsoft's Kinect as a recent 3D sensor has attracted considerable research attention in the fields of computer vision and pattern recognition. But its depth image suffers from the problem of poor accuracy caused by invalid pixels, noise and unmatched edges. In this paper, an efficient approach is proposed to improve the quality of Kinect's depth image. Using its corresponding color image, the pixels with wrong depth values are detected and removed using a region growing method. To accurately estimate the values of invalid pixels, a joint bilateral filter is used to fill the holes. Considering the special noise property of Kinect sensor, an adaptive bilateral filter is proposed to effectively reduce the noise of the depth image. Experimental results show that the proposed method significantly improves the quality of depth image by successfully filling the holes, eliminating the unmatched edges and reducing the noise.
Starting Page	3070
Ending Page	3073
File Size	524116
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Image edge detection Color Noise Optical filters Standards Filling Image color analysis
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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