Three-dimensional Computer Vision Techniques for Full-field Surface Shape Measurement and Surface Flaw Inspection

1992 ◽  
Author(s):  
Y. Y. Hung
Keyword(s):  
Computer Vision ◽  
Three Dimensional ◽  
Surface Flaw ◽  
Surface Shape ◽  
Shape Measurement ◽  
Full Field

Three-dimensional shape measurement of non-full-field reflective surfaces

2005 ◽  
Vol 44 (22) ◽  
pp. 4745 ◽  
Author(s):  
Oleksandr A. Skydan ◽  
Michael J. Lalor ◽  
David R. Burton
Keyword(s):  
Three Dimensional ◽  
Shape Measurement ◽  
Full Field ◽  
Dimensional Shape ◽  
Three Dimensional Shape ◽  
Reflective Surfaces

Three-Dimensional Surface Shape Measurement of Big Objects by Image Splicing in Digital Holography

2008 ◽  
Vol 35 (12) ◽  
pp. 2017-2021 ◽  
Author(s):  
冯忠耀 Feng Zhongyao ◽  
贾昉 Jia Fang ◽  
周景会 Zhou Jinghui ◽  
忽满利 Hu Manli
Keyword(s):  
Digital Holography ◽  
Three Dimensional ◽  
Surface Shape ◽  
Shape Measurement ◽  
Image Splicing ◽  
Dimensional Surface

scholarly journals Crosscorrelation image processing for surface shape reconstruction using fiducial markers

2021 ◽  
Vol 2127 (1) ◽  
pp. 012030
Author(s):  
E V Shmatko ◽  
V V Pinchukov ◽  
A D Bogachev ◽  
A Yu Poroykov
Keyword(s):  
Correlation Function ◽  
Cross Correlation ◽  
Three Dimensional ◽  
Shape Reconstruction ◽  
Surface Shape ◽  
Optical Methods ◽  
Shape Measurement ◽  
Fiducial Markers ◽  
Correlation Processing ◽  
Function Calculation

Abstract Optical methods for deformations diagnostic and surface shape measurement are widely used in scientific research and industry. Most of these methods are based on triangulating a set of two-dimensional points in the images appropriate to the same three-dimensional points of the object in space. Various algorithms to search such points are applied. The possibility of using cross-correlation processing of digital images to search these points is considered in the work. Algorithms based on the correlation function calculation are widely employed in such a popular flow diagnostic method as PIV. The cameras of a stereo system for surface shape measurement can be widely spaced, and the tilt angles relative to the surface can differ significantly. This leads to the fact that the images taken from the cameras cannot be directly processed by the correlation function because it is not invariant to rotation. To solve this problem, fiducial markers are used to find an initial estimate of displacement of the images relative to each other. This approach makes it possible to successfully apply correlation processing for stereo system images with a large stereo base.

Establishment of Full-field Surface Shape Measurement System for Deployable Membrane

2020 ◽  
Vol 2020 (0) ◽  
pp. 104
Author(s):  
Yoshiki OKUMURA ◽  
Naoki NISHIDA ◽  
YiYong ANG ◽  
Takuya HARA ◽  
Nobuhisa KATSUMATA ◽  
...  
Keyword(s):  
Measurement System ◽  
Surface Shape ◽  
Shape Measurement ◽  
Full Field
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