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The paper presents an alternative way to classical stereocorrelation. First,2D image processing of random patterns is described. Sub-pixel displacementsare determined using phase analysis. Then distortion evaluation is presented.The distortion is identified without any assumption on the lens model becauseof the use of a grid technique approach. Last, shape measurement and shapevariation is caught by fringe projection. Analysis is based on two pin-holeassumptions for the video-projector and the camera. Then, fringe projection iscoupled 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 bean advantage of the method, because of the use of temporal phase stepping(shape measurement, 1 pixel) and windowed Fourier transform (in planedisplacements measurement, 9 pixels). Two examples are given. First one is thestudy of skin properties; second one is a study on leather fabric. In bothcases, results are convincing, and have been exploited to give mechanicalinterpretation.

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