In this paper, a multi-view face pose classification method is introduced. Each face region is normalized by two eye-centers and mouth center, and then multi-class classifiers are trained for face pose classification. The face pose classification is organized into a tree structure that deals with off-image plane pose variation. As a specific application in video, it can estimate the face pose in each frame that results in a face pose variation trajectory, which may have important applications such as in security monitoring of car drivers. Experiment results on a very large set compared with a PCA reconstruction method as a benchmark are reported to show its effectiveness.
Multi-view face pose classification by tree-structured classifier
2005-01-01
547351 byte
Conference paper
Electronic Resource
English
Multi-View Face Pose Classification by Tree-Structured Classifier
British Library Conference Proceedings | 2005
|Bayes classifier based on tree-structured Gaussian mixtures
British Library Online Contents | 2012
|A view-based statistical system for multi-view face detection and pose estimation
British Library Online Contents | 2009
|Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation
British Library Conference Proceedings | 2001
|