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Sensors 2017, 17(4), 805; doi:10.3390/s17040805

A High Spatial Resolution Depth Sensing Method Based on Binocular Structured Light

1
The Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an 710049, China
2
The National Engineering Laboratory for Visual Information Processing and Applications, Xi’an Jiaotong University, Xi’an 710049, China
3
Shaanxi Provincial Key Laboratory of Digital Technology and Intelligent Systems, Xi’an 710049, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 17 January 2017 / Revised: 30 March 2017 / Accepted: 5 April 2017 / Published: 8 April 2017
(This article belongs to the Section Physical Sensors)

Abstract

Depth information has been used in many fields because of its low cost and easy availability, since the Microsoft Kinect was released. However, the Kinect and Kinect-like RGB-D sensors show limited performance in certain applications and place high demands on accuracy and robustness of depth information. In this paper, we propose a depth sensing system that contains a laser projector similar to that used in the Kinect, and two infrared cameras located on both sides of the laser projector, to obtain higher spatial resolution depth information. We apply the block-matching algorithm to estimate the disparity. To improve the spatial resolution, we reduce the size of matching blocks, but smaller matching blocks generate lower matching precision. To address this problem, we combine two matching modes (binocular mode and monocular mode) in the disparity estimation process. Experimental results show that our method can obtain higher spatial resolution depth without loss of the quality of the range image, compared with the Kinect. Furthermore, our algorithm is implemented on a low-cost hardware platform, and the system can support the resolution of 1280 × 960, and up to a speed of 60 frames per second, for depth image sequences. View Full-Text
Keywords: depth sensing; binocular structured light; spatial resolution; Kinect; speckle pattern depth sensing; binocular structured light; spatial resolution; Kinect; speckle pattern
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yao, H.; Ge, C.; Xue, J.; Zheng, N. A High Spatial Resolution Depth Sensing Method Based on Binocular Structured Light. Sensors 2017, 17, 805.

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