摘要
本文针对人脸三维结构特性的描述问题,提出基于3D-Zernike的三维人脸特征提取方法。3D-Zernike描述子可以充分反映出目标的三维空间结构,具有平移,尺度,旋转不变性。文中利用3D-Zernike特征针对真实人脸三维数据进行分析和比较,实验验证了特征的有效性。
In this paper,three-dimensional facial feature extraction method is proposed based on 3D-Zernike for three-dimensional structural properties of face description.3D-Zernike descriptors can fully reflect the target of three-dimensional structure,with translation,scaling,rotation invariance.The paper uses 3D-Zernike features aims at real 3D face data for analysis and comparison experiments to verify the effectiveness of the feature.
出处
《自动化技术与应用》
2013年第11期88-91,共4页
Techniques of Automation and Applications
