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从目击者记忆中构建面部合成。

Construction of Facial Composites from Eyewitness Memory.

机构信息

Department of Psychology, University of Cape Town, Cape Town, South Africa.

School of Psychology and Computer Science, University of Central Lancashire, Preston, England, UK.

出版信息

Adv Exp Med Biol. 2023;1392:149-190. doi: 10.1007/978-3-031-13021-2_8.

Abstract

Law enforcement agencies often rely on practical technologies to help witnesses and victims of crimes construct likenesses of faces from memory. These 'face composites' are typically circulated to law enforcement officers and made accessible to the public in the hope that someone familiar with the depicted person will recognise their likeness and thus provide the police with a suspect. We will review methods for constructing such likenesses from memory dating back to the portrait parlé of Alphonse Bertillon (Signaletic instructions including the theory and practice of anthropometrical identification. Werner Company, 1896) and the composite images of Francis Galton (Nature 18:97-100, 1878). We will also review more modern methods, ranging from the overlay techniques of Identi-Kit (McDonald, c 1959) and Photo-Fit (Penry J. The Police Journal 43:307, 1970) to feature-based computerised composite systems such as Identi-Kit 2000, FACES, and ProMat. Most early systems were based on the common-sense notion that sectioning a face is invertible: just as a face can be sectioned into components, so it can be recreated by arrangements of sections. This assumption appears to be unwarranted. The underlying problem with earlier face systems may have been the absence of a representational or computational theory. This led in the late 1990s to the development of the so-called third-generation holistic composite systems, which are based on underlying statistical and mathematical models of face images (e.g. ID [Tredoux et al. South African Computer Journal 2006:90-97, 2006], EvoFIT [Frowd CD, Hancock PJB, & Carson D. ACM Transactions on Applied Psychology (TAP) 1:1-21, 2004a], E-FIT [Gibson et al., International Conference on Visualisation, 146-151, 2003]). A special focus of the chapter will be on these newer technologies and other recent technological innovations. Our approach will be to review (i) the methods of operation, (ii) the techniques identified by psychologists and other researchers for improving the quality of information obtained from memory, and (iii) the empirical data on the effectiveness of these systems at representing faces from memory. We will consider related issues, too, including the question of whether face composites damage witness memory, and the ethics of face composition.

摘要

执法机构通常依赖实用技术来帮助犯罪案件的目击者和受害者从记忆中构建人脸的相似物。这些“面部合成”通常会分发给执法官员,并向公众提供,希望熟悉所描绘人物的人能够认出他们的相似之处,从而为警方提供嫌疑人。我们将回顾从记忆中构建这些相似物的方法,可以追溯到 Alphonse Bertillon 的 Portrait Parlé(Signaletic Instructions,包括人体测量识别的理论和实践。Werner Company,1896 年)和 Francis Galton 的合成图像(自然 18:97-100,1878 年)。我们还将回顾更现代的方法,从 Identi-Kit(McDonald,c 1959 年)和 Photo-Fit(Penry J. The Police Journal 43:307,1970 年)的叠加技术到基于特征的计算机合成系统,如 Identi-Kit 2000、FACES 和 ProMat。大多数早期的系统都是基于这样一种常识性假设,即分割面部是可逆的:就像可以将面部分割成各个组成部分一样,也可以通过各个部分的排列来重新创建。这种假设似乎是没有根据的。早期面部系统的问题可能是缺乏表示或计算理论。这导致在 20 世纪 90 年代末开发了所谓的第三代整体合成系统,这些系统基于面部图像的基础统计和数学模型(例如 ID [Tredoux 等人,南非计算机杂志 2006:90-97,2006 年]、EvoFIT [Frowd CD、Hancock PJB 和 Carson D. ACM Transactions on Applied Psychology(TAP)1:1-21,2004a]、E-FIT [Gibson 等人,国际可视化会议,146-151,2003 年])。本章的一个特别重点将是这些新技术和其他最近的技术创新。我们的方法将是审查(i)操作方法,(ii)心理学家和其他研究人员确定的用于提高从记忆中获取信息质量的技术,以及(iii)这些系统从记忆中代表面部的有效性的经验数据。我们还将考虑相关问题,包括面部合成是否会损害证人记忆的问题,以及面部合成的道德问题。

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