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Structured light 3D measurement of reflective objects using multiple DMD projectors
Author(s): Jeremy Gribben; Alan R. Boate
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Paper Abstract

Many applications of 3D imaging must deal with objects that are highly specularly reflective and have multiple interreflections, resulting in missing and erroneous points. We use a single camera with multiple DMD projectors, resulting in multiple incident lighting angles to deal with both specular and interreflections. At each camera pixel, multiple 3D point estimates are computed from each of the camera-projector pairs. These multiple estimates are fused together with an expectation maximization (EM) clustering algorithm and the maximum likelihood estimate for each point is obtained. A novel noise filtering algorithm is also presented which makes use of the EM algorithm covariance to suppress spurious points caused by reflections. Results show that our multi-projector approach and EM estimator increase 3D measurement accuracy and recoverable points for complex reflective objects, while reducing error.

Paper Details

Date Published: 4 March 2019
PDF: 15 pages
Proc. SPIE 10932, Emerging Digital Micromirror Device Based Systems and Applications XI, 109320L (4 March 2019); doi: 10.1117/12.2510455
Show Author Affiliations
Jeremy Gribben, Ajile Light Industries Inc. (Canada)
Univ. of Ottawa (Canada)
Alan R. Boate, Ajile Light Industries Inc. (Canada)

Published in SPIE Proceedings Vol. 10932:
Emerging Digital Micromirror Device Based Systems and Applications XI
Michael R. Douglass; John Ehmke; Benjamin L. Lee, Editor(s)

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