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Using structured light for efficient depth edge detection

delete2008-11-01
delete18
PRE
AI
J
Jiyoung Park
C
Cheolhwon Kim
J
Jaekeun Na
J
Juneho Yi *
M
Matthew Turk
DOI:10.1016/j.imavis.2008.01.006delete
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Abstract

Abstract

En 中文
This research describes a novel approach that accurately detects depth edges with Cluttered inner texture edges effectively ignored. 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. In practice, distortion along depth discontinuities may not occur or be large enough to detect depending oil the distance from the camera or projector. We present 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 shapes of human hands and bodies as well as general objects. (C) 2008 Elsevier B.V. All rights reserved.
Keywords:
depth edge detection
structured light
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Image and Vision Computing cover
Image and Vision Computing
IF:
4.2
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4.0K
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6.7K

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sungkyunkwan university (skku)
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University of California System cover
University of California System
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