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- W2384298045 abstract "In the process ofgaining digital images,the nonlinearcharacteristic of the camera lens may lead to severe geometric distortion ofthe captured images.Therefore,geometric rectification of the distorted images is necessary before they can befurther processed.The basic foundation of geometric transformation is introduced,and after intensive research of those existing approaches for geometric rec-tification,a novel algorithm based on BP neural network is presented.The proposed method train the network with fastest-gradient-decent algorithm,which precisely fit the distortion pattern.At last step,reverse bilinear gray-level interpolation is applied to recover the original image.Simulation results in Matlab reveals that the algorithm proposed is both effective and of higher precision." @default.
- W2384298045 created "2016-06-24" @default.
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- W2384298045 date "2007-01-01" @default.
- W2384298045 modified "2023-09-23" @default.
- W2384298045 title "Algorithm for geometric distorted image rectification based on neural network" @default.
- W2384298045 hasPublicationYear "2007" @default.
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