NDLI: High resolution digital image correlation using proper generalized decomposition : PGD-DIC

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High resolution digital image correlation using proper generalized decomposition : PGD-DIC

Content Provider	Semantic Scholar
Author	Passieux, J.-C. Perie, J. M.
Copyright Year	2012
Abstract	A new method is proposed to measure the finite element (FE) displacement field from a deformed image in comparison to a reference one. In opposition to standard FE approaches, the unknown displacement is sought as a sum of products of separated dimensions functions. The problems in each dimension being uncoupled, the method involves only 1D meshes and 1D problems. An algorithm that builds successive best rank-one approximations is proposed and integrated into the nonlinear iterations of the correlation problem. Although the method can be applied to spaces of any dimension, this paper focuses on 2D images. Many synthetic examples are provided to evaluate the performance of the method. In addition, it is shown that, even with this separated representation, the introduction of a regularization operator is convenient. The latter makes it possible to perform a pixel-wise measure with huge computational savings.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://hal.inria.fr/docs/00/70/85/41/PDF/draft.pdf
Language	English
Access Restriction	Open
Subject Keyword	Acclimatization Algorithm Algorithmic efficiency Approximation Computation Data Validation Certification Document Digital differential analyzer Digital image Dimensions Displacement mapping Disseminated Intravascular Coagulation Familial generalized lipodystrophy Finite element method Iteration Mandibular right second molar tooth Modularity (networks) Nonlinear system Pixel Polygon mesh Prostaglandins D Psychologic Displacement Region of interest Scott continuity Simulation Synthetic intelligence Tomography
Content Type	Text
Resource Type	Article

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