Face identification within realistic contexts

现实环境中的人脸识别

基本信息

  • 批准号:
    ES/S010181/1
  • 负责人:
  • 金额:
    $ 64.16万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2019
  • 资助国家:
    英国
  • 起止时间:
    2019 至 无数据
  • 项目状态:
    已结题

项目摘要

In many situations, security relies on accurate person identification. At airports, routine person identifications are based on face matching, in which passport officers have to decide whether the face photograph in a presented identity document actually depicts its bearer. People seeking to avoid detection at such security controls may attempt to use illicit ID. Passports themselves are now highly sophisticated documents, which are difficult to forge. For this reason, fraudsters typically use valid identity documents, often belonging to someone with a similar facial appearance. A substantial body of laboratory research now exists to demonstrate that the detection of such impostors - or identity mismatches - is difficult and highly error-prone, even by trained professionals.However, all existing research has investigated face matching under fairly basic experimental conditions, often presenting pairs of cropped faces on plain backgrounds, or in highly simplified field settings. There is some value in these lab-based studies, because they allow one to study such important variables as individual differences, image quality and so forth. However, these approaches offer a weak proxy for studying how the environment and social interaction affect this task, which provide many additional factors that can affect face matching. For example, passport officers may resort to information from body language to support identification decisions, but environmental factors such as queues and crowd dynamics might also exert pressure on passport officers that could compromise their performance. The impact of such factors is likely to be very large, as suggested by research on human performance in other realistic settings. However, the sensitive and security-critical nature of passport control makes it practically impossible to study in real life. In this project, we propose a novel approach to investigate these factors, by examining face matching in virtual reality (VR), which can provide the detailed interactive environments that conventional laboratory experiments cannot. This approach is completely new in face matching and allows for the study of factors that may affect person identification in the real world but cannot be captured by laboratory experiments.We propose a series of three validation experiments to establish that a virtual environment captures the key visual aspects required for person identification. This is followed by eleven main experiments which will test how environmental and social interaction factors affect forensic person identification in a realistic context. These experiments will examine the impact of factors such as a person's body language, passenger queues, and crowd dynamics. The knowledge gained from these experiments will considerably advance our theoretical understanding of face matching, which currently cannot accommodate the important effects of environmental and social interaction factors on this task. The project will also yield findings of applied importance, for example, in terms of understanding how security in person identification could be enhanced at airports.In addition, the project will produce a free database of avatars for psychological research on person identification in VR, as well as an open access start-up guide for other researchers with an interest in conducting such research. These resources will create a lasting impact on the development of VR research in Psychology beyond the scope of this project.
在许多情况下,安全依赖于准确的个人身份识别。在机场,常规的身份识别是基于人脸匹配,护照官员必须决定出示的身份证件中的面部照片是否真的描述了持有者。试图在这种安全控制下躲避检查的人可能会尝试使用非法身份。护照本身现在是高度复杂的文件,很难伪造。出于这个原因,诈骗者通常使用有效的身份证件,通常属于长相相似的人。现在有大量的实验室研究表明,即使是训练有素的专业人员,检测这种冒名顶替者-或身份错配-也是困难的,而且容易出错。然而,所有现有的研究都是在相当基本的实验条件下进行人脸匹配的,通常是在普通背景下或在高度简化的现场环境中呈现成对的剪裁人脸。这些以实验室为基础的研究有一定的价值,因为它们允许人们研究诸如个体差异、图像质量等重要变量。然而,这些方法为研究环境和社会交互如何影响这一任务提供了一个弱代理,这提供了许多可能影响人脸匹配的额外因素。例如,护照官员可能会求助于肢体语言的信息来支持身份识别决定,但排队和人群动态等环境因素也可能对护照官员施加压力,可能会影响他们的表现。这些因素的影响可能非常大,正如对人类在其他现实环境中表现的研究所表明的那样。然而,护照管制的敏感和安全关键性质使其几乎不可能在现实生活中学习。在这个项目中,我们提出了一种新的方法来研究这些因素,通过检测虚拟现实(VR)中的人脸匹配,可以提供传统实验室实验无法提供的详细交互环境。这种方法在人脸匹配中是一种全新的方法,允许研究可能影响真实世界中的人识别的因素,但实验室实验无法捕捉到这些因素。我们提出了一系列三个验证实验,以确定虚拟环境捕捉到了人识别所需的关键视觉方面。紧随其后的是11个主要实验,这些实验将在现实背景下测试环境和社会交互因素如何影响法医人员识别。这些实验将考察一个人的肢体语言、乘客排队和人群动态等因素的影响。从这些实验中获得的知识将极大地促进我们对人脸匹配的理论理解,目前还不能适应环境和社会交互因素对这一任务的重要影响。该项目还将产生具有应用价值的发现,例如,在了解如何加强机场个人身份识别的安全方面。此外,该项目将为虚拟现实中个人身份识别的心理学研究建立一个免费的化身数据库,并为其他有兴趣进行此类研究的研究人员提供开放获取的启动指南。这些资源将对本项目范围以外的心理学VR研究的发展产生持久的影响。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Queues, crowds, and angry mobs: Face identification under distraction in a virtual airport
  • DOI:
    10.1177/17470218231203939
  • 发表时间:
    2023-11-08
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Fysh,Matthew C.;Baker,Edward;Bindemann,Markus
  • 通讯作者:
    Bindemann,Markus
Molistic processing in facial image comparison
  • DOI:
    10.1002/acp.3975
  • 发表时间:
    2022-06-26
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Fysh,Matthew C.;Bindemann,Markus
  • 通讯作者:
    Bindemann,Markus
Facial comparison behaviour of forensic facial examiners
  • DOI:
    10.1002/acp.4027
  • 发表时间:
    2022-12-26
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Claydon,Jacky R.;Fysh,Matthew C.;Bindemann,Markus
  • 通讯作者:
    Bindemann,Markus
Avatars with faces of real people: A construction method for scientific experiments in virtual reality.
  • DOI:
    10.3758/s13428-021-01676-5
  • 发表时间:
    2022-06
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Fysh MC;Trifonova IV;Allen J;McCall C;Burton AM;Bindemann M
  • 通讯作者:
    Bindemann M
Understanding face matching.
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Markus Bindemann其他文献

Individual differences in face perception and person recognition

Markus Bindemann的其他文献

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{{ truncateString('Markus Bindemann', 18)}}的其他基金

High-Fidelity Avatars for Behaviour and Cognition Research
用于行为和认知研究的高保真化身
  • 批准号:
    ES/X011208/1
  • 财政年份:
    2023
  • 资助金额:
    $ 64.16万
  • 项目类别:
    Research Grant

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