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Proceedings Paper

A novel 360-degree shape measurement using a simple setup with two mirrors and a laser MEMS scanner
Author(s): Rui Jin; Xiang Zhou; Tao Yang; Dong Li; Chao Wang
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Paper Abstract

There is no denying that 360-degree shape measurement technology plays an important role in the field of threedimensional optical metrology. Traditional optical 360-degree shape measurement methods are mainly two kinds: the first kind, by placing multiple scanners to achieve 360-degree measurements; the second kind, through the high-precision rotating device to get 360-degree shape model. The former increases the number of scanners and costly, while the latter using rotating devices lead to time consuming. This paper presents a low cost and fast optical 360-degree shape measurement method, which possesses the advantages of full static, fast and low cost. The measuring system consists of two mirrors with a certain angle, a laser projection system, a stereoscopic calibration block, and two cameras. And most of all, laser MEMS scanner can achieve precise movement of laser stripes without any movement mechanism, improving the measurement accuracy and efficiency. What’s more, a novel stereo calibration technology presented in this paper can achieve point clouds data registration, and then get the 360-degree model of objects. A stereoscopic calibration block with special coded patterns on six sides is used in this novel stereo calibration method. Through this novel stereo calibration technology we can quickly get the 360-degree models of objects.

Paper Details

Date Published: 6 September 2017
PDF: 6 pages
Proc. SPIE 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017, 1041016 (6 September 2017); doi: 10.1117/12.2276854
Show Author Affiliations
Rui Jin, Xi’an Jiaotong Univ. (China)
Xiang Zhou, Xi'an Jiaotong Univ. (China)
Tao Yang, Xi’an Jiaotong Univ. (China)
Dong Li, Xi’an Jiaotong Univ. (China)
Chao Wang, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 10410:
Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017
Jean J. Dolne; Rick P. Millane, Editor(s)

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