Dynamic 3-D shape measurement method: A review

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High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection (2013, unknown): “Recent advance in image sensors and digital projection technology becomes a powerful vehicle that motivates the rapid progress in reconstructing the 3-D shapes of dynamic scenes such as high-speed moving objects and rotating or vibrating non-rigid bodies [3,4].”
Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review (2016, methodology): “Many fringe analysis techniques have been proposed to extract the phase distribution from the distorted fringe(s), such as phase-shifting profilometry [12–15], Fouriertransform profilometry [5,7,16,17], windowed Fourier-transform profilometry [64,65] and wavelet-transform profilometry [66,67].”
Fringe pattern analysis using deep learning (2018, methodology): “e background intensity can be obtained by A(x;y)= 1 N N 1 å n=0 I n(x;y) (4) With the least square method, the phase can be calculated by f(x;y)=arctan åN 1 n=0 I n(x;y)sind n åN 1 n=0 I n(x;y)cosd n (5) 2/7 Thus, the numerator and the denominator of the arctangent function in Eq.2can be expressed a”
High-speed 3D shape measurement with structured light methods: A review (2018, methodology): “Due to high measurement speed, FTP methods have been demonstrated successful for fast motion capture applications, such as measuring vibration [74] or a ﬂapping wing robot [75] .”