Abstract
Model-based approaches to the interpretation of face images have proved very successful. We have previously described statistically based models of face shape and grey-level appearance and shown how they can be used to perform various coding and interpretation tasks. In the paper we describe improved methods of modelling which couple shape and grey-level information more directly than our existing methods, isolate the changes in appearance due to different sources of variability (person, expression, pose, lighting) and deal with non-linear shape variation. We show that the new methods are better suited to interpretation and tracking tasks. © 1998 Elsevier Science B.V.
| Original language | English |
|---|---|
| Pages (from-to) | 203-211 |
| Number of pages | 8 |
| Journal | Image and Vision Computing |
| Volume | 16 |
| Issue number | 3 |
| Publication status | Published - 16 Mar 1998 |
Keywords
- Face image interpretation
- Model-based approach