Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104498
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Title: Integrated polar microstructure and template-matching method for optical position measurement
Authors: Zhao, C 
Cheung, C 
Liu, M 
Issue Date: 19-Feb-2018
Source: Optics express, 19 Feb. 2018, v. 26, no. 4, p. 4330-4345
Abstract: This paper presents an integrated polar microstructure and template-matching method for optical position measurement that is developed based on the technology of ultra-precision machining (UPM) and computer vision. For computer vision, this paper makes use of the template-matching method as the basic working principle to match the position on the surface. For UPM, an optical microstructure that is named a ‘polar microstructure’ is purposely designed and fabricated by ultra-precision diamond machining technology to provide the high resolution of the position measurement. To demonstrate the performance of the proposed method for optical position measurement, a high-precision multi-sensor coordinate measuring machine was used to test the position accuracy and the length uncertainty for the two axes of this positioning method. The experimental results show that the average length uncertainty and the corresponding standard deviation errors are 109.6 nm and 76.4 nm on the X-axis, and 91.8 nm and 69.7 nm on the Y-axis, respectively.
Publisher: Optical Society of America
Journal: Optics express 
EISSN: 1094-4087
DOI: 10.1364/OE.26.004330
Rights: © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement (https://opg.optica.org/library/license_v1.cfm#VOR-OA). Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.
The following publication Chenyang Zhao, Chifai Cheung, and Mingyu Liu, "Integrated polar microstructure and template-matching method for optical position measurement," Opt. Express 26, 4330-4345 (2018) is available at https://doi.org/10.1364/OE.26.004330.
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