Nonuniform Image Motion Estimation from Noisy Data
Document Type
Article
Publication Date
1-1-1990
Abstract
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
Publication Title
IEEE Transactions on Acoustics, Speech, and Signal Processing
Recommended Citation
Namazi, N.,
&
Lee, C.
(1990).
Nonuniform Image Motion Estimation from Noisy Data.
IEEE Transactions on Acoustics, Speech, and Signal Processing,
38(2), 364-366.
http://doi.org/10.1109/29.103075
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10219
