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Efficient Depth Edge Detection Using Structured Light

  • Jiyoung Park
  • Cheolhwon Kim
  • Juneho Yi
  • Matthew Turk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3804)

Abstract

This research features a novel approach that efficiently detects depth edges in real world scenes. Depth edges play a very important role in many computer vision problems because they represent object contours. We strategically project structured light and exploit distortion of the light pattern in the structured light image along depth discontinuities to reliably detect depth edges. Distortion along depth discontinuities may not occur or be large enough to detect depending on the distance from the camera or projector. For practical application of the proposed approach, we have presented methods that guarantee the occurrence of the distortion along depth discontinuities for a continuous range of object location. Experimental results show that the proposed method accurately detects depth edges of human hand and body shapes as well as general objects.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jiyoung Park
    • 1
  • Cheolhwon Kim
    • 1
  • Juneho Yi
    • 1
  • Matthew Turk
    • 2
  1. 1.School of Information and Communication EngineeringSungkyunkwan University, Korea, Biometric Engineering Research Center 
  2. 2.Computer Science DepartmentUniversity of CaliforniaSanta BarbaraUSA

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