Point-Wise Phase Estimation Method in Fringe Projection Profilometry under Non-Sinusoidal Distortion
Author:
Yin Zhuoyi,Liu Cong,Zhang Chuang,He Xiaoyuan,Yang Fujun
Abstract
In fringe projection profilometry, high-order harmonics information of distorted fringe will lead to errors in the phase estimation. In order to solve this problem, a point-wise phase estimation method based on a neural network (PWPE-NN) is proposed in this paper. The complex nonlinear mapping relationship between the gray values and the phase under non-sinusoidal distortion is constructed by using the simple neural network model. It establishes a novel implicit expression for phase solution without complicated measurement operations. Compared with the previous method of combining local image information, it can accurately calculate each phase value by point. The comparison results show that the traditional method is with periodic phase errors, while the proposed method can effectively eliminate phase errors caused by non-sinusoidal phase shifting.
Funder
Postgraduate Research & Practice Innovation Program of Jiangsu Province
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
China Postdoctoral Science Foundation
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Cited by
2 articles.
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