DocumentCode
639346
Title
Depth Acquisition from Density Modulated Binary Patterns
Author
Zhe Yang ; Zhiwei Xiong ; Yueyi Zhang ; Jiao Wang ; Feng Wu
Author_Institution
Northeastern Univ., Shenyang, China
fYear
2013
fDate
23-28 June 2013
Firstpage
25
Lastpage
32
Abstract
This paper proposes novel density modulated binary patterns for depth acquisition. Similar to Kinect, the illumination patterns do not need a projector for generation and can be emitted by infrared lasers and diffraction gratings. Our key idea is to use the density of light spots in the patterns to carry phase information. Two technical problems are addressed here. First, we propose an algorithm to design the patterns to carry more phase information without compromising the depth reconstruction from a single captured image as with Kinect. Second, since the carried phase is not strictly sinusoidal, the depth reconstructed from the phase contains a systematic error. We further propose a pixel-based phase matching algorithm to reduce the error. Experimental results show that the depth quality can be greatly improved using the phase carried by the density of light spots. Furthermore, our scheme can achieve 20 fps depth reconstruction with GPU assistance.
Keywords
diffraction gratings; image matching; image reconstruction; infrared imaging; GPU assistance; Microsoft Kinect; density modulated binary patterns; depth acquisition; depth quality; depth reconstruction; diffraction gratings; illumination patterns; infrared lasers; light spots density; pattern design; phase information; pixel-based phase matching algorithm; single captured image; systematic error; Accuracy; Cameras; Diffraction; Diffraction gratings; Frequency conversion; Image reconstruction; Lasers; Depth acquisition; binary pattern; block matching; density modulation; phase shifting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location
Portland, OR
ISSN
1063-6919
Type
conf
DOI
10.1109/CVPR.2013.11
Filename
6618855
Link To Document