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Article
Three-dimensional shape measurement using a structured light system with dual cameras
Optical Engineering (2008)
  • Song Zhang, Harvard University
  • Shing-Tung Yau, Harvard University
Abstract
A structured light system for three-dimensional shape measurement with single camera has the shortcoming of camera occlusion. To alleviate this problem, this paper introduces a structured light system with dual cameras for three-dimensional shape measurement. We discuss (1) system description, (2) system calibration, (3) three-dimensional data registration using the iterative closest-point (ICP) algorithm, and (4) three-dimensional data merging using holoimage. The principle of the system is introduced, and experiments are presented to verify its performance.
Keywords
  • calibration,
  • structured light,
  • dual cameras,
  • holoimage,
  • registration,
  • phase shifiting,
  • merging
Publication Date
January 30, 2008
Publisher Statement
Copyright 2008 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Citation Information
Song Zhang and Shing-Tung Yau. "Three-dimensional shape measurement using a structured light system with dual cameras" Optical Engineering Vol. 47 Iss. 1 (2008)
Available at: http://works.bepress.com/song_zhang/28/