计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (12): 155-156.DOI: 10.3778/j.issn.1002-8331.2010.12.046

• 图形、图像、模式识别 • 上一篇    下一篇

侧面人脸图像的识别方法

张志刚

  

  1. 西安财经学院 信息学院,西安 710061
  • 收稿日期:2008-11-18 修回日期:2009-01-06 出版日期:2010-04-21 发布日期:2010-04-21
  • 通讯作者: 张志刚

Recognition method for profile face image

ZHANG Zhi-gang   

  1. Department of Information,Xi’an University of Finance and Economics,Xi’an 710061,China
  • Received:2008-11-18 Revised:2009-01-06 Online:2010-04-21 Published:2010-04-21
  • Contact: ZHANG Zhi-gang

摘要: 针对侧面人脸的识别问题提出了一种基于统计的方法。基于人脸正面和侧面图像的线性相关性假设,通过对样本的学习建立多变量线性退化模型求解出系数矩阵,从而由输入的人脸侧面照片合成得到其正面的图像。实验表明这种方法所获的正面像接近于真实的照片,且无需任何的辅助设备和先验知识,具有一定的实用性。

Abstract: Aiming at human profile recognition,a statistical learning method is proposed based on linear correlation assumption between profile and frontal face images,then the parameters matrix is solved by means of multi-variable linear regression model,finally the frontal face image can be synthesized from its profile.Experimental results demonstrate that the lifelike effect can be achieved,and the method is easy to be realized without any auxiliary equipments and prior knowledge and therefore has a better practicability.

中图分类号: