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Proceedings Paper

Structured light: theory and practice and practice and practice...
Author(s): Richard L. Keizer; Heesung Jun; Stanley M. Dunn
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Paper Abstract

We have developed a structured light system for noncontact 3-D measurement of human body surface areas and volumes. We illustrate the image processing steps and algorithms used to recover range data from a single camera image, reconstruct a complete surface from one or more sets of range data, and measure areas and volumes. The development of a working system required the solution to a number of practical problems in image processing and grid labeling (the stereo correspondence problem for structured light). In many instances we found that the standard cookbook techniques for image processing failed. This was due in part to the domain (human body), the restrictive assumptions of the models underlying the cookbook techniques, and the inability to consistently predict the outcome of the image processing operations. In this paper, we will discuss some of our successes and failures in two key steps in acquiring range data using structured light: First, the problem of detecting intersections in the structured light grid, and secondly, the problem of establishing correspondence between projected and detected intersections. We will outline the problems and solutions we have arrived at after several years of trial and error. We can now measure range data with an r.m.s. relative error of 0.3% and measure areas on the human body surface within 3% and volumes within 10%. We have found that the solution to building a working vision system requires the right combination of theory and experimental verification.

Paper Details

Date Published: 1 April 1991
PDF: 10 pages
Proc. SPIE 1406, Image Understanding in the '90s: Building Systems that Work, (1 April 1991); doi: 10.1117/12.47970
Show Author Affiliations
Richard L. Keizer, MITRE Corp. (United States)
Heesung Jun, Rutgers Univ. (United States)
Stanley M. Dunn, Rutgers Univ. (United States)


Published in SPIE Proceedings Vol. 1406:
Image Understanding in the '90s: Building Systems that Work

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