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

整合整体处理和面部空间方法来感知面部身份

• 批准号: DP0984558
• 负责人: Prof Elinor McKone
• 金额: $ 33.95万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2009
• 资助国家: 澳大利亚
• 起止时间: 2009-04-19 至 2014-10-18
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0984558
• 关键词: Integrating; holistic; processing; face; space

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).

识别人脸是一项至关重要的社会任务，人类在这方面做得非常好。研究大脑用来识别人脸的软件的科学家引用了两种不同的理论--一种解释了为什么我们比物体更容易分辨面孔，另一种解释了为什么我们比其他人更容易区分一些人的脸。该项目旨在整合这两种理论。这有两个潜在的长期好处：它将为了解人脸识别不正常发展的人的哪里出了问题提供更坚实的基础；来自生物系统的改进的知识也可能导致改进的计算机人脸识别算法(例如。用于机场安检)。