Face and 2D Matching
The objective of this project is to
design new techniques for the matching of 2D objets within images and video.
In particular, we investigate the use of Hidden Markov Models in two dimensions.
While real 2D HMMs are too complex to be usable, we introduce
pseudo-2D HMMs which provide feasible models.
We have defined the basic algorithms for training, and
decoding with these models.
We apply these models to the problem of face recognition within
video sequences. In particular, these models provide a clear
approach to face detection and localisation.
We also investigate the use of such models for other applications
within video indexing.
- S. Marchand-Maillet and B. Mérialdo.
Pseudo two-dimensional Hidden Markov Models for face detection in colour
In Proceedings of the Audio- and Video-Based Biometric Person
Authentication (AVBPA'99), Washington DC, USA, March 1999.
Marchand-Maillet and Bernard Merialdo.
Localisation de identification de personnes dans des séquences vidéo.
In Journees CORESA, June 1998.
- Emmanuelle Clergue,
Morris Goldberg, Nabil Madrane, and Bernard Merialdo.
Automatic face and gestual recognition for video indexing.
IWAFGR95 Workshop, pages 110-115, June 1995.