<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Digital image correlation assisted absolute phase unwrapping</dc:title><dc:creator>Liao, Yi-Hong; Xu, Manzhu; Zhang, Song</dc:creator><dc:corporate_author/><dc:editor/><dc:description>This paper presents an absolute phase unwrapping method for high-speed three-dimensional (3D) shape measurement. This method uses three phase-shifted patterns and one binary random pattern on a single-camera, single-projector structured light system. We calculate the wrapped phase from phase-shifted images and determine the coarse correspondence through the digital image correlation (DIC) between the captured binary random pattern of the object and the pre-captured binary random pattern of a flat surface. We then developed a computational framework to determine fringe order number pixel by pixel using the coarse correspondence information. Since only one additional pattern is used, the proposed method can be used for high-speed 3D shape measurement. Experimental results successfully demonstrated that the proposed method can achieve high-speed and high-quality measurement of complex scenes.</dc:description><dc:publisher/><dc:date>2022-01-01</dc:date><dc:nsf_par_id>10353126</dc:nsf_par_id><dc:journal_name>Optics Express</dc:journal_name><dc:journal_volume>30</dc:journal_volume><dc:journal_issue>18</dc:journal_issue><dc:page_range_or_elocation>33022</dc:page_range_or_elocation><dc:issn>1094-4087</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1364/OE.470704</dc:doi><dcq:identifierAwardId>1763689</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>