Nonuniform Image Motion Estimation from Noisy Data
Image motion estimation is viewed as a problem in nonlinear demodulation. The motion D(x) modulates the intensity of the previous frame s(x) to result in intensity of the present frame s(x − D(x)). An iterative algorithm based on the generalized maximum likelihood (GML) criterion is developed and implemented to demodulate D(x). Simulation results are presented and discussed. © 1990 IEEE
IEEE Transactions on Acoustics, Speech, and Signal Processing
Nonuniform Image Motion Estimation from Noisy Data.
IEEE Transactions on Acoustics, Speech, and Signal Processing,
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