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contributor authorSutton, Michael A.
date accessioned2017-05-09T00:55:51Z
date available2017-05-09T00:55:51Z
date issued2013
identifier issn0003-6900
identifier otheramr_65_05_050802.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/150716
description abstractThe remarkable increases in computational speed and memory size that have occurred over the past three decades have impacted virtually every area of scientific inquiry. With regard to the measurement community, the digital age has revolutionized the way in which data are acquired, stored, and analyzed to extract the maximum amount of information. For the purposes of this discussion, the focus will be on computer vision–based, noncontacting measurement methods, specifically those commonly known as 2D image correlation, 3D image correlation, and digital volume correlation (also known as volumetric image correlation), and their increasingly significant role in the broad field of solid mechanics. The review closes with a visionary perspective regarding the integration of measurements and models and the impact it may have on the design process.
publisherThe American Society of Mechanical Engineers (ASME)
titleComputer Vision Based, Noncontacting Deformation Measurements in Mechanics: A Generational Transformation
typeJournal Paper
journal volume65
journal issue5
journal titleApplied Mechanics Reviews
identifier doi10.1115/1.4024984
journal fristpage50802
journal lastpage50802
identifier eissn0003-6900
treeApplied Mechanics Reviews:;2013:;volume( 065 ):;issue: 005
contenttypeFulltext


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