The problem of image registration subsumes a number of problems and techniques in multifr a me image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature trackin

motion estimation using correlation based optic flow method

An affine (or first-order) optic flow model has 6 parameters, describing image translation, dilation, rotation and shear. The function affine_flow estimates these parameters for two frames of an image sequence.

Optic flow is an important cue for object detection. Humans are able to perceive objects in a scene using only kinetic boundaries, and can perform the task even when other shape cues are not provided. These kinetic boundaries are characterized by t