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Proceedings Paper

A depth camera for natural human-computer interaction based on near-infrared imaging and structured light
Author(s): Yue Liu; Liqiang Wang; Bo Yuan; Hao Liu
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Paper Abstract

Designing of a novel depth camera is presented, which targets close-range (20-60cm) natural human-computer interaction especially for mobile terminals. In order to achieve high precision through the working range, a two-stepping method is employed to match the near infrared intensity image to absolute depth in real-time. First, we use structured light achieved by an 808nm laser diode and a Dammann grating to coarsely quantize the output space of depth values into discrete bins. Then use a learning-based classification forest algorithm to predict the depth distribution over these bins for each pixel in the image. The quantitative experimental results show that this depth camera has 1% precision over range of 20-60cm, which show that the camera suit resource-limited and low-cost application.

Paper Details

Date Published: 5 August 2015
PDF: 6 pages
Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96220H (5 August 2015); doi: 10.1117/12.2190642
Show Author Affiliations
Yue Liu, Zhejiang Univ. (China)
Liqiang Wang, Zhejiang Univ. (China)
Bo Yuan, Zhejiang Univ. (China)
Hao Liu, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 9622:
2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Guangming Shi; Xuelong Li; Bormin Huang, Editor(s)

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