Sciweavers

Share
BMVC
2001

Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis

9 years 3 months ago
Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating features, and recognising moving faces dynamically in image sequences. A multi-view dynamic face model is designed to extract the shape-and-pose-free facial texture patterns. Kernel Discriminant Analysis, which employs the kernel technique to perform Linear Discriminant Analysis in a high-dimensional feature space, is developed to extract the significant non-linear features which maximise the between-class variance and minimise the within-class variance. Finally, an identity surface based face recognition is performed dynamically from video input by matching object and model trajectories.
Yongmin Li, Shaogang Gong, Heather M. Liddell
Added 30 Sep 2010
Updated 30 Sep 2010
Type Conference
Year 2001
Where BMVC
Authors Yongmin Li, Shaogang Gong, Heather M. Liddell
Comments (0)
books