Multi-band Modelling of Appearance |
Mikkel B. Stegmann, Rasmus Larsen
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| Abstract | Earlier work has demonstrated generative models capable of synthesising near photo-realistic grey-scale images of objects. These models have been augmented with colour information, and recently with edge information.
This paper extends the Active Appearance Model framework by modelling the appearance of both derived feature bands and an intensity band. As a special case of feature-band augmented appearance modelling we propose a dedicated representation with applications to face segmentation. The representation addresses a major problem within face recognition by lowering the sensitivity to lighting conditions. Results show that localisation accuracy of facial features is considerably increased using this appearance representation under normal and abnormal lighting and at multiple scales. |
| Keywords | Generative models, Active Appearance Models, Lighting Invariance, Face Recognition, Segmentation |
| Type | Conference paper [With referee] |
| Conference | First International Workshop on Generative Model-Based Vision - GMBV |
| Editors | Arthur Pece |
| Year | 2002 Month June pp. 101-106 |
| Publisher | DIKU |
| Address | Copenhagen, Denmark |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |