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5 August 2015 A depth camera for natural human-computer interaction based on near-infrared imaging and structured light
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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.
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Yue Liu, Liqiang Wang, Bo Yuan, and Hao Liu "A depth camera for natural human-computer interaction based on near-infrared imaging and structured light", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96220H (5 August 2015); https://doi.org/10.1117/12.2190642
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