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3-D Computer Vision Using Structured Light: Design, Calibration, and Implementation Issues

Fred W. DePiero, University of Tennessee - Knoxville
Mohan M. Trivedi, University of Tennessee - Knoxville

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DOI: http://dx.doi.org/10.1016/S0065-2458(08)60646-4

NOTE: At the time of publication, the author Fred W. DePiero was affiliated with the University of Tennessee - Knoxville. Currently, August 2008, he is a faculty member in the College of Engineering at California Polytechnic State University - San Luis Obispo.

Abstract

Structured light (SL) sensing is a well-established method of range acquisition for computer vision. We provide thorough discussions of design issues, calibration methodologies, and implementation schemes for SL sensors. The challenges for SL sensor development are described and a range of approaches are surveyed. A novel SL sensor, PRIME, the PRofile Imaging ModulE recently has been developed and is used as a design example in the detailed discussions.

Suggested Citation

Fred W. DePiero and Mohan M. Trivedi. "3-D Computer Vision Using Structured Light: Design, Calibration, and Implementation Issues" Advances in Computers 43 (1996): 243-278.
Available at: http://works.bepress.com/fdepiero/3



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