Optical flow is a concept for considering the motion of objects within a visual representation. Typically the motion is represented as vectors originating or terminating at pixels in a digital image sequence.
Optical flow is useful in pattern recognition, computer vision, and other image processing applications. It is closely related to motion estimation and motion compensation. Often the term optical flow is used to describe a dense motion field with vectors at each pixel, as opposed to motion estimation/compensation which uses vectors for blocks of pixels as in video compression methods such as MPEG.
Methods for determining optical flow
- Phase correlation (inverse of normalized cross power spectrum)
- Block correlation (sum of absolute differences, normalized cross-correlation)
- Gradient Constraint based registration
- more to come
External links