基于图像的三维人脸检测设计思路的探讨

Research on the Thoughts of Design of 3D Face Detection Based on Image

自动人脸检测与识别技术已经成为一门广泛而且流行的前沿研究领域,因为它具有广泛而且潜在的应用,比如在法律授权,安全访问,人机交互等等领域。然而,目前大多数现存的识别技术的方法仍然是停留在二维上,换句话说,不是真正的三维技术。该文研究的焦点是放在三维人脸检测上面。具体的方法是用原始的人物的头部图像和面部图像进行处理和分析。该技术的思路是基于图像的方法。具体的思路是通过以下步骤:预处理,人脸建模,人脸检测。

Automatic face detection has long been an active research area because of it's potential for applications such as law enforcement, security access, and man-machine interaction. Most of the extensive recognition methods are based on 2D methods. So, it is not the real 3D methods. This paper focused on the research of the technique of 3D face diction based on image. It means, detect 3D face with two original photos of human's head and other faces. In this paper, I find a method witch is the real 3D method. It is based on the image itself. What we need to do is about three steps to obtain the detection. Three steps: processing, modeling, detecting.