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Spatial computer-generated Moire profilometry
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AI
DOI：10.1016/j.sna.2024.115054.png)
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Abstract
En 中文
In three-dimensional(3D) sensing technology based on Moire ' profilometry, the extraction of Moire ' fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moire ' profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of nonuniform reflectivity, and also makes it possible to extract Moire ' fringe in spatial-domain. Hilbert transform gives another pi/2 phase-shifted normalized AC component. By the spatial-domain Moire ' fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moire ' fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moire ' profilometry and Fourier transform profilometry. And its two-shot nature enables real -time 3D sensing capability.
Keywords:
3D sensing
Moire ' profilometry
Spatial Moire ' fringe extraction
Computer-generated Moire ' profilometry
Phase resolution
Journal
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4.9
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1.5W
Citations:
3.3W