Direct and Global Component Separation from a Single Image Using Basis Representation

  • Art Subpa-asaEmail author
  • Ying Fu
  • Yinqiang Zheng
  • Toshiyuki Amano
  • Imari Sato
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10113)


Previous research showed that the separation of direct and global components could be done with a single image by assuming neighboring scene points have similar direct and global components, but it normally leads to loss of spatial resolution of the results. To tackle such problem, we present a novel approach for separating direct and global components of a scene in full spatial resolution from a single captured image, which employs linear basis representation to approximate direct and global components. Due to the basis dependency of these two components, high frequency light pattern is utilized to modulate the frequency of direct components, which can effectively improve stability of linear model between direct and global components. The effectiveness of our approach is demonstrated on both simulated and real images captured by a standard off-the-shelf camera and a projector mounted in a coaxial system. Our results show better visual quality and less error compared with those obtained by the conventional single-shot approach on both still and moving objects.



This work was supported in part by Grant-in-Aid for Scientific Research on Innovative Areas (No.15H05918) from MEXT, Japan.

Supplementary material

416261_1_En_7_MOESM1_ESM.mp4 (22 mb)
Supplementary material 1 (mp4 22511 KB)


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Art Subpa-asa
    • 1
    Email author
  • Ying Fu
    • 2
  • Yinqiang Zheng
    • 3
  • Toshiyuki Amano
    • 4
  • Imari Sato
    • 1
    • 3
  1. 1.Tokyo Institute of TechnologyTokyoJapan
  2. 2.The University of TokyoTokyoJapan
  3. 3.National Institute of InformaticsTokyoJapan
  4. 4.Wakayama UniversityWakayamaJapan

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