计算机工程2011，Vol.37Issue(6)：181-183,3.DOI:10.3969/j.issn.1000-3428.2011.06.062
基于KLT和BFGS的人脸姿态估计
Face Pose Estimation Based on KLT and BFGS
摘要
Abstract
Aiming at the face sequence, the face feature points are tracked by using modified Kanade-Lucas-Tomasi(KLT) after extracting face feature points accurately.According to characteristics of face shape, it uses a number of face feature points as the face model.After estimating the face pose approximately, 3D space face pose is estimated accurately via modified Broyden-Fletcher-Goldfarb-Shanno(BFGS).Experimental result shows that the method can gain only 3D face pose, and has better estimation accuracy compared with similar methods.关键词
人脸姿态估计/多点模型/特征点跟踪/拟牛顿法Key words
estimation of face pose/ multi-point model/ feature points tracking/ Broyden-Fletcher-Goldfarb-Shanno(BFGS)分类
信息技术与安全科学引用本文复制引用
邱丽梅,李青虹..基于KLT和BFGS的人脸姿态估计[J].计算机工程,2011,37(6):181-183,3.基金项目
福建省教育厅科技基金资助项目(JK2009037) （JK2009037）
