The 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.
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September 2013
Review Articles
Computer Vision-Based, Noncontacting Deformation Measurements in Mechanics: A Generational Transformation
Michael A. Sutton
Michael A. Sutton
Carolina Distinguished Professor
Department of Mechanical Engineering,
e-mail: Sutton@sc.edu
Department of Mechanical Engineering,
University of South Carolina
,300 South Main Street
,Columbia, SC 29208
e-mail: Sutton@sc.edu
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Michael A. Sutton
Carolina Distinguished Professor
Department of Mechanical Engineering,
e-mail: Sutton@sc.edu
Department of Mechanical Engineering,
University of South Carolina
,300 South Main Street
,Columbia, SC 29208
e-mail: Sutton@sc.edu
Manuscript received January 29, 2013; final manuscript received July 3, 2013; published online August 29, 2013. Assoc. Editor: Ellen Kuhl.
Appl. Mech. Rev. Sep 2013, 65(5): 050802 (23 pages)
Published Online: August 29, 2013
Article history
Received:
January 29, 2013
Revision Received:
July 3, 2013
Citation
Sutton, M. A. (August 29, 2013). "Computer Vision-Based, Noncontacting Deformation Measurements in Mechanics: A Generational Transformation." ASME. Appl. Mech. Rev. September 2013; 65(5): 050802. https://doi.org/10.1115/1.4024984
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