Dr Eilidh Noyes from the University of Huddersfield presented her facial identification research at a major conference in Australia and said Anthropometry can no longer be relied upon to be an accurate method of identification.
University of Huddersfield lecturer Dr Eilidh Noyes was among world-leading experts in the science of face recognition who assembled in Australia for a conference that will lead to policy recommendations designed to aid police, governments, the legal system and border control agencies.
Taking place at the University of New South Wales, which is home to an Unfamiliar Face Identification Group (UFIG), the conference brought together academic experts in psychology, computer science and law plus policy makers and practitioners in police and government. Their aim was to work out how to define expertise in face recognition.
“Accurate face identification is crucial in many police investigations and border security scenarios,” said Dr Noyes, a specialist in the field who was one of 20 global academic experts invited to attend the conference, titled Evaluating face recognition expertise: Turning theory into best practice.
“People are very good at recognising the faces of their friends and family – people who they know well – across different images. However, the science tells us that when we don’t know the person/people in the image(s), face matching is actually very difficult,” said Dr Noyes, who lectures in Cognitive Psychology at Huddersfield.
Face identification algorithms have made huge strides in accuracy in recent years, with the latest algorithms outperforming humans in a recent comparison of human and machine performance. Algorithms can play an important role in the identification process, she continued.
“We need to define what it means to be a face identification expert in this day and age. Is it a human? Is it an algorithm? Is it some combination of them both?”
Dr Noyes conferenced paper was based on research she carried out with Dr Rob Jenkins, University of York, on the effect of camera-to-subject distance on face recognition performance and was the subject of an article published by the international journal Cognition.
“The distance from which a photograph is taken affects the appearance of the face in the image,” explained Dr Noyes.
“Faces appear flatter when photographed from afar, and more convex at a reduced distance. That has profound consequences for facial comparisons across multiple images.
“Images of the same person can look very different if they are taken at two different distances, whereas images of different people can appear more similar if the camera-subject distance is manipulated,” she added.