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Presentation + Paper
4 March 2019 Structured light 3D measurement of reflective objects using multiple DMD projectors
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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.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeremy Gribben and Alan R. Boate "Structured light 3D measurement of reflective objects using multiple DMD projectors", Proc. SPIE 10932, Emerging Digital Micromirror Device Based Systems and Applications XI, 109320L (4 March 2019);

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