Multiple-Layer Neural Network Applied to Phase Gradient Recovery from Fringe Pattern
نویسنده
چکیده
5 In kinesiology research, fringe projection profilometry is used to measure 6 the surface shape and profile of ex-vivo beating animal heart. Deformation 7 of projected fringe pattern will be caused by non-flat shape of surface and 8 thus used to reconstruct the surface. In this course project, multiple-layer 9 neural network (MLNN) is used to recover the gradient information of the 10 surface as an intermediate step of surface reconstruction. The MLNN is 11 trained by the fringe intensity pattern and phase gradient information 12 extracted from synthetic data set. Various evaluation experiments are made 13 on both parameters of MLNN and the properties of synthetic data set. 14
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