Integrating holistic processing and face-space approaches to the perception of facial identity

识别面孔是一项对社会至关重要的任务，而人类在这方面非常擅长。科学家们在研究我们大脑用来识别面孔的“软件”时提到了两种不同的理论--一种是解释为什么我们能更好地分辨面孔而不是物体，另一种是解释为什么我们能更容易地分辨一些人的面孔。该项目旨在整合这两种理论。这有两个潜在的长期好处：它将为理解面部识别不正常发展的人出了什么问题提供更强的基础;而且，来自生物系统的改进知识也可能导致改进计算机面部识别算法（例如，人脸识别算法）。机场安全）。

Recognising faces is a socially crucial task, and humans are remarkably good at it. Scientists investigating the 'software' our brains use to recognise faces have referred to two different theories -- one when explaining why we distinguish faces better than objects, and the other in explaining why we distinguish some people's faces more easily than others. The project aims to integrate these two theories. This has two potential long-term benefits: it will give a stronger basis for understanding what goes wrong in people where face recognition does not develop normally; and, the improved knowledge from a biological system may also lead to improved computer face recognition algorithms (eg. for airport security).