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- W2363825711 abstract "Grey-level-based image matching method has advantage of high precision,however,there are still insufficient in terms of real-time.A fast image matching method is presents in this paper,based on an optimization algorithm of stochastic parallel gradient descent(SPGD).This method simultaneously imposes statistically independent random disturbance on all deformation parameters of images to be matched,and then the variation of performance evaluation function between images to be matched before and after disturbance is calculated.Based on this variation,the deformation parameters are updated and used in iterative calculation.Finally,the fast optimization deformation parameter estimation and image matching are realized.SPGD matching method was used in target tracking for both simulated and real image sequences.Results show that this matching method is able to implement normal matching and its matching precision is equal to that of least squares method,but with faster speed." @default.
- W2363825711 created "2016-06-24" @default.
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- W2363825711 date "2013-01-01" @default.
- W2363825711 modified "2023-09-27" @default.
- W2363825711 title "On the Image Matching Method based on Stochastic Paralelle Gradient Descent" @default.
- W2363825711 hasPublicationYear "2013" @default.
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