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Author Yang, Zhiguang ♦ Ai, Haizhou ♦ Wu, Bo ♦ Lao, Shihong ♦ Cai, Lianhong
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Simple Haar-type Feature ♦ Up-down Angle ♦ Real-time System ♦ Video Sequence ♦ Specific Application ♦ Pose Estimator ♦ Shot Selection Problem ♦ Left-right Angle ♦ Face Recognition ♦ Face Image Preprocessing ♦ Regression Algorithm ♦ Frontal Face ♦ Face Pose Estimation Method ♦ Video Shot Selection ♦ Face Pose Estimation
Description 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 Haar-type 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.
International Conference on Pattern Recognition 2004
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2004-01-01