| Maximum SNR pattern strategy for phase shifting methods in structured light illumination. | |
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MedLine Citation:
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PMID: 20808403 Owner: NLM Status: PubMed-not-MEDLINE |
Abstract/OtherAbstract:
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Structured light illumination by means of phase shifting patterns is a widely employed method for three-dimensional (3-D) image acquisition that is robust to ambient light and object albedo but may be especially susceptible to sensor and environment noise. In this paper, we study the specific technique of phase measuring profilometry (PMP) and the maximization of a pattern's signal to noise ratio (SNR). By treating the design of an N-pattern PMP process as placing points in an N-dimensional coding space, we define a pattern's SNR in terms of a pattern set's computational length and the number of coded phase periods in the projected patterns. Then, without introducing phase ambiguities, we propose a so-called edge pattern strategy that maximizes the computational length and number of periods. Theoretically, the edge pattern technique improves the SNR by 1.2381 times when using three component patterns and by 15.5421 times when using five patterns. Experimental results further demonstrate the improved SNR of the proposed edge pattern technique such that more accurate 3-D results are achieved using fewer component patterns. |
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Authors:
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Yongchang Wang; Kai Liu; Daniel L Lau; Qi Hao; Laurence G Hassebrook |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of the Optical Society of America. A, Optics, image science, and vision Volume: 27 ISSN: 1520-8532 ISO Abbreviation: J Opt Soc Am A Opt Image Sci Vis Publication Date: 2010 Sep |
Date Detail:
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Created Date: 2010-09-02 Completed Date: 2011-01-19 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9800943 Medline TA: J Opt Soc Am A Opt Image Sci Vis Country: United States |
Other Details:
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Languages: eng Pagination: 1962-71 Citation Subset: - |
Affiliation:
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Center for Visualization and Virtual Environments, University of Kentucky, Lexington, Kentucky 40507, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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