Frequency-based image analysis of random patterns: an alternative way to classical stereocorrelation

The paper presents an alternative way to classical stereocorrelation. First, 2D image processing of random patterns is described. Sub-pixel displacements are determined using phase analysis. Then distortion evaluation is presented. The distortion is identified without any assumption on the lens model because of the use of a grid technique approach. Last, shape measurement and shape variation is caught by fringe projection. Analysis is based on two pin-hole assumptions for the video-projector and the camera. Then, fringe projection is coupled to in-plane displacement to give rise to 3D measurement set-up. Metrological characterization shows a resolution comparable to classical (stereo) correlation technique (1/100th pixel). Spatial resolution seems to be an advantage of the method, because of the use of temporal phase stepping (shape measurement, 1 pixel) and windowed Fourier transform (in plane displacements measurement, 9 pixels). Two examples are given. First one is the study of skin properties; second one is a study on leather fabric. In both cases, results are convincing, and have been exploited to give mechanical interpretation.

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Source Journal of the Korean Society for nondestructuve testing
Author Molimard, Jérôme, Boyer, Gaetan, Zahouani, Hassan
Maintainer CCSD
Last Updated May 8, 2026, 05:42 (UTC)
Created May 8, 2026, 05:42 (UTC)
Identifier emse-00904908
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut Fédératif de Recherche en Sciences et Ingénierie de la Santé (IFRESIS) ; Université Jean Monnet - Saint-Étienne (UJM) ; Université Jean Monnet (EPSCPE) (UJM EPE)-Université Jean Monnet (EPSCPE) (UJM EPE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)
creator Molimard, Jérôme
date 2010-06-30T00:00:00
harvest_object_id e3e4d582-d03c-49f1-bb9d-c1dbbd4d08e2
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-23T00:00:00
relation info:eu-repo/semantics/altIdentifier/arxiv/1311.3864
set_spec type:ART