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Multiple‐view Shape and Deformation Measurement by Combining Fringe Projection and Digital Image Correlation
Author(s) -
Nguyen T. N.,
Huntley J. M.,
Burguete R. L.,
Coggrave C. R.
Publication year - 2012
Publication title -
strain
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.477
H-Index - 47
eISSN - 1475-1305
pISSN - 0039-2103
DOI - 10.1111/j.1475-1305.2011.00819.x
Subject(s) - image stitching , projector , digital image correlation , computer vision , projection (relational algebra) , artificial intelligence , computer science , point cloud , displacement (psychology) , digital light processing , structured light 3d scanner , deformation (meteorology) , structured light , measure (data warehouse) , computer graphics (images) , optics , algorithm , physics , psychology , scanner , database , meteorology , psychotherapist
We present a new method that combines the fringe projection and the digital image correlation (DIC) techniques on a single hardware platform to simultaneously measure both shape and deformation fields of three‐dimensional (3‐D) surfaces with complex geometries. The method in its basic form requires only a single camera and single projector, but this can be easily extended to a multi‐camera multi‐projector system to obtain complete 360° measurements. Multiple views of the surface profile and displacement field are automatically co‐registered in a unified global coordinate system, thereby avoiding the significant errors that can arise through the use of statistical point cloud stitching techniques. Experimental results from a two‐camera two‐projector sensor are presented and compared with results from both a standard stereo‐DIC approach and a finite element model.