8.Motion Estimation

Motion estimation is an important topic in image processing, especially in computer vision. Being able to estimate the motion between two images of a sequence opens a field of applications in object tracking, image registration, 3D reconstruction, or even video compression.

Motion analysis can be categorized into three different classes of methods:

  • 3D-3D approaches, which involve computing 3D motion from a set of 3D correspondences. Generally, 3D data are difficult to obtain;

  • 2D-3D approaches, which estimate the 3D motion from correspondences between a 3D model and 2D projections;

  • 2D-2D approaches, which do not use a 3D model and just assume correspondences between 2D projections, from which the 3D motion can be reconstructed. ...

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