Application of the EM technique to estimation of affine modeled image motion

Document Type

Conference Proceeding

Publication Date



© 1992 IEEE. Affine modeled image motion represents a very important class of motion such as reflection, rotation, skew, scaling, and translation. The affine motion model is a parametric function, hence, when images undergo this type of motion, the estimation of the motion parameters proves to be efficient and computationally less exhaustive than the pixel by pixel motion estimation algorithms. The estimation of the affine motion parameters is accomplished by using the Expectation-Maximization (EM) technique. The (EM) technique employed here converts the maximization of a log-likelihood function from a coupled parameter maximization problem into simpler and decoupled parameter maximization problems.

Publication Title

Midwest Symposium on Circuits and Systems