Abstract
This chapter provides a tutorial introduction to gradient-based optical flow estimation. We discuss least-squares and robust estimators, iterative coarse-to-fine refinement, different forms of parametric motion models, different conservation assumptions, probabilistic formulations, and robust mixture models.
| Original language | American English |
|---|---|
| Title of host publication | Handbook of Mathematical Models in Computer Vision |
| Publisher | Springer US |
| Pages | 237-257 |
| Number of pages | 21 |
| ISBN (Print) | 0387263713, 9780387263717 |
| DOIs | |
| State | Published - 2006 |