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- W2350036771 abstract "The phase measurement profilometry(PMP) is a relatively mature and reliable method among various optical three-dimensional measurement methods,the system calibration of which includes Z and(X,Y) coordinate calibrations.On the basis of reference to the advantages and disadvantages of traditional calibration methods,a new method for(X,Y) calibration of PMP system was presented based on combination of BP and RBF neural networks.In this method,the black-and-white chessboard pattern is placed along Z-axis at several positions within available optic volume randomly,in order to acquire data samples.Before training and simulating the error data by RBF network,the data sample was trained and simulated by BP network.The experiment results is satisfactory,the number of training epoch of BP network is only 21,and the average distance error,produced by testing samples of RBF network,is only 0.008 mm.So this new method has good calibration efficiency and calibration accuracy." @default.
- W2350036771 created "2016-06-24" @default.
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- W2350036771 date "2008-01-01" @default.
- W2350036771 modified "2023-09-26" @default.
- W2350036771 title "Calibration Method for Phase Measurement Profilometry Based on Combination of BP and RBF Networks" @default.
- W2350036771 hasPublicationYear "2008" @default.
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