【摘要】 头部姿势估计在人机交互中有着重要的意义,为此提出了一种在单目图像序列中估计三维头部姿势的方法.运用块匹配方法跟踪人脸特征.结合人脸的几何知识提出了一个匹配评价标准.并提出了一种基于特定人脸几何信息和透视投影模型的算法来估计头部姿势,不需使用三维模型和任何面部标记.实验结果表明,该方法对于头部姿势估计是有效的.更多还原

【Abstract】 For head pose estimation plays an important role in human machine interface, the authors propose an approach to estimate 3D head pose from a monocular sequence. A block matching criterion is designed and the effect of block matching for feature tracking is improved. An algorithm based on facial geometry information and projective model is presented to estimate the head pose. The experimental results show that our method is effective for head pose estimation.更多还原