• 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