计算机应用 ›› 2005, Vol. 25 ›› Issue (08): 1771-1773.DOI: 10.3724/SP.J.1087.2005.01771

• 图形图像与多媒体 • 上一篇    下一篇

基于统计模型与Gabor小波的人脸对齐

余棉水,黎绍发   

  1. 华南理工大学计算科学与工程学院
  • 发布日期:2011-04-07 出版日期:2005-08-01

Face alignment based on statistical models and Gabor wavelet

YU Mian-shui,LI Shao-fa   

  1. School of Computer Science and Engineering, South China University of Technology, Guangzhou Guangdong 510641,China
  • Online:2011-04-07 Published:2005-08-01

摘要: 将基于Gabor小波的人脸特征点跟踪算法与基于统计模型的主动外观模型AAM人脸特征点定位方法结合起来,实现视频中人脸的自动对齐。先利用Gabor小波进行特征点跟踪,其结果作为AAM的初始形状。利用AAM的全局形状和纹理信息作为约束,对Gabor小波的局部跟踪错误进行校正。实验表明,该方法是有效的。

关键词: 特征点跟踪, Gabor小波, 主动外观模型

Abstract: A face alignment scheme was proposed by integrating the Gabor-wavelet facial feature points tracking algorithm with the facial feature points localization method based on statistical mode AAM(Active Appearance Model). First the facial feature points were tracked with Gabor wavelet, then the result was used as the initial shape of the AAM. The local tracking errors of Gabor wavelet were corrected with the global constrained shape and texture information of AAM. Experiments prove that the method works well.

Key words: feature point tracking, Gabor wavelet, AAM(Active Appearance Model)

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