Samuel Wantz , Romain Brault , Yannick Pannier , Valéry Valle
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Elimination of interpolation error in digital volume correlation: introducing Shift-DVC
This study addresses one of the major factors affecting the metrological performance of Digital Volume Correlation (DVC), namely the systematic error caused by intensity interpolation, which is characterized by an S-shaped bias error. While random error can be reduced by improving image quality, systematic error cannot be avoided. To overcome this issue, a strategy called Shift-DVC is proposed to eliminate this systematic error in DVC.
In classical DVC techniques, points of interest (POIs) are located at integer positions. In contrast, the proposed Shift-DVC strategy introduces specific offsets to the conventional positions, causing the POIs to be located at non-integer positions where the S-shaped bias error is reduced. This method, which is simple to implement in classical DVC code, reduces the intensity interpolation error by a factor of up to four and significantly decreases the computation time required for convergence.
期刊介绍:
Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.
Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following:
-Optical Metrology-
Optical Methods for 3D visualization and virtual engineering-
Optical Techniques for Microsystems-
Imaging, Microscopy and Adaptive Optics-
Computational Imaging-
Laser methods in manufacturing-
Integrated optical and photonic sensors-
Optics and Photonics in Life Science-
Hyperspectral and spectroscopic methods-
Infrared and Terahertz techniques