首页> 外文会议>IEEE Workshop on Signal Processing System >Robustness and expression independence in 3D face recognition
【24h】

Robustness and expression independence in 3D face recognition

机译:3D面部识别中的鲁棒性和表达独立性

获取原文

摘要

We describe a robust method for 3D face recognition under variance of facial expressions. The method utilizes the identical areas on two facial images as the measurement of distance. To segment the identical area, partial shape matching is performed using closest point registration and level set method. The segmentation problem is formalized into an Eikonal equation, which can be efficiently solved by fast marching method. The presented 3D face recognition method shows a very promising recognition rate.
机译:我们描述了在面部表情方差下的3D面部识别的鲁棒方法。该方法利用两个面部图像上的相同区域作为距离的测量。为了分段相同区域,使用最近点登记和级别设置方法执行部分形状匹配。分割问题正式化为eikonal方程,可以通过快速行进方法有效地解决。呈现的3D面部识别方法显示了非常有前景的识别率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号