Multi-view face pose classification by tree-structured classifier

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.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: Zhiguang Yang, Haizhou Ai, Takuya Okamoto, Shihong Lao
• Keywords: Face Pose Classification, Face Pose Variation, Face Region, ICIP 2005, Image Processing, Multi-view Face Pose, Plane Pose Variation