作者: Yuxiao Hu , Longbin Chen , Yi Zhou , Hongjiang Zhang
DOI: 10.1109/AFGR.2004.1301607
关键词:
摘要: A robust pose estimation approach is proposed by combining facial appearance asymmetry and 3D geometry in a coarse-to-fine framework. The rough face first estimated analyzing the of distribution component detection confidences on an image, which actually implies intrinsic relation between appearance. Then, this pose, as well error bandwidth, utilized into 3D-to-2D geometrical model matching to refine estimation. able track with fast motion front cluttered background recover its robustly accurately real- time. Experiment results are provided demonstrate efficiency accuracy.