基于三元空间融合的人脸图像模式识别

Facial Image Pattern Recognition Based on Triple Space Fusion

在面对情况复杂的模式识别问题时,人的经验知识和认知结果的充分利用有助于提高识别准确率,因而构建基于物理、信息和认知等三元空间融合的模式识别系统尤为重要.文中以公共安全领域常用的人脸图像识别问题为例,综述基于三元空间融合的模式识别的研究进展与现状.重点从基于合成的方法、基于共享空间投影的方法和基于特征描述的方法等三个方面,介绍人脸识别涉及的基于人脸模拟画像的方法,并给出深入讨论及可能的发展方向,为辅助公共安全部门侦破案件提供技术帮助.

With the help of human experience knowledge and cognition, the performance of pattern recognition can be improved for some complex applications, and therefore it is important to construct a pattern recognition system based on the fusion of the physical space, the cyberspace and the cognitive space. In this paper, facial image recognition, which is widely applied in forensic evidence, is taken as an example. Its recent advances in pattern recognition based on triple space fusion are summarized. Sketch based face recognition techniques are introduced from three aspects： synthesis based methods, common space projection based methods and feature descriptor based methods. Some discussions and further development directions are also given. These methods provide technical support for some applications in the field of public security.