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- W2393006145 abstract "BP neural network can solve the complex nonlinear problem,with which it is very difficult for a binocular stereovision to build a complete calibration mathematical model containing all lens distortions and noises. The BP neural network is used for calibrating a binocular stereovision. Furthermore,the effect of the number of network layer on the calibration of the binocular stereovision is studied. Four BP neural networks are constructed with different number of layer. And an experiment is performed to test the calibration capability of the four networks. The test results demonstrate that the network model with three layers has higher calibration efficiency,stronger generalization ability and higher working accuracy,compared with the network models with four,five and six layers." @default.
- W2393006145 created "2016-06-24" @default.
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- W2393006145 date "2015-01-01" @default.
- W2393006145 modified "2023-09-23" @default.
- W2393006145 title "Study on calibration of binocular stereovision based on BP neural network with different layers" @default.
- W2393006145 hasPublicationYear "2015" @default.
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