Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco, 28049 Madrid, Spain.
Forensic Sci Int. 2013 Dec 10;233(1-3):75-83. doi: 10.1016/j.forsciint.2013.08.020. Epub 2013 Sep 3.
This paper reports an exhaustive analysis of the discriminative power of the different regions of the human face on various forensic scenarios. In practice, when forensic examiners compare two face images, they focus their attention not only on the overall similarity of the two faces. They carry out an exhaustive morphological comparison region by region (e.g., nose, mouth, eyebrows, etc.). In this scenario it is very important to know based on scientific methods to what extent each facial region can help in identifying a person. This knowledge obtained using quantitative and statical methods on given populations can then be used by the examiner to support or tune his observations. In order to generate such scientific knowledge useful for the expert, several methodologies are compared, such as manual and automatic facial landmarks extraction, different facial regions extractors, and various distances between the subject and the acquisition camera. Also, three scenarios of interest for forensics are considered comparing mugshot and Closed-Circuit TeleVision (CCTV) face images using MORPH and SCface databases. One of the findings is that depending of the acquisition distances, the discriminative power of the facial regions change, having in some cases better performance than the full face.
本文报告了对面部不同区域在各种法医场景下的鉴别能力的详尽分析。在实践中，当法医鉴定人员比较两张人脸图像时，他们不仅关注两张人脸的整体相似性，还会逐区域（如鼻子、嘴巴、眉毛等）进行详尽的形态比较。在这种情况下，根据科学方法，了解每个面部区域在识别一个人方面能起到多大作用非常重要。这种利用给定人群进行定量和统计方法获得的知识可以帮助鉴定人员支持或调整他的观察结果。为了生成对专家有用的这种科学知识，本文比较了几种方法，例如手动和自动面部地标提取、不同的面部区域提取器，以及主体与采集相机之间的各种距离。此外，还考虑了法医感兴趣的三个场景，使用 MORPH 和 SCface 数据库比较了大头照和闭路电视（CCTV）人脸图像。研究结果之一是，根据采集距离的不同，面部区域的鉴别能力会发生变化，在某些情况下比整脸的性能更好。
