Static Head Pose Estimation Under Different Illumination
Kun Liu, Luo Yupin, Shiyuan Yang · Jisuanji gongcheng · 2008
【Abstract】To solve head pose estimation problem under different illumination and expression, a new pose feature is proposed, which is based on Histogram of Oriented Gradient(HOG) feature and Principle Component Analysis(PCA), and SVM classifier is used to classify different poses. The algorithm is tested based on CMU pose, illumination and expression database and CVL database. Experiment shows that the algorithm can estimate poses accurately under different illumination, and correct ratio arrives at 90%. 【Key words】pose estimation; Histogram of Oriented Gradient(HOG); illumination