Face Pose Estimation and its Application in Video Shot Selection

In this paper, a face pose estimation method and its application in video shot selection for face image preprocessing is introduced. The pose estimator is learned by a boosting regression algorithm called SquareLev.R [1] that learns poses from simple Haartype features. It consists of two tree structured subsystems for the left-right angle and up-down angle respectively. As a specific application in video based face recognition, the best shot selection problem is discussed, which results in a real-time system that can automatically select the most frontal face from a video sequence.

• Type: Conference
• Year: 2004
• Where: ICPR
• Authors: Bo Wu, Haizhou Ai, Lianhong Cai, Shihong Lao, Zhiguang Yang
• Keywords: Computer Vision, Face Pose Estimation, ICPR 2004, Video Based Face, Video Shot Selection