A face matching test has been updated to find super-recognisers who can help prevent errors caused by face recognition software.
Psychologists are hoping the UNSW Face Test will help unearth more of Australia’s top performers in facial recognition, known as super-recognisers.
The Fellows have been awarded more than $9.5 million to conduct research projects in engineering, arts and social sciences, law and science.
Even the world’s best available training – used to train police, border control agents and other security personnel – does not compensate for natural talent in face recognition.
Same person or different person? Most people are extremely good at recognising faces of people they know well, but not so much strangers.
The first study to compare performances of trained facial examiners, super-recognisers, and facial-recognition algorithms, has revealed a combination of human and computer decision-making is most accurate.
Picking the right social media profile image is critical. So if you want to put your best face forward, get a stranger to make the choice for you.
Face-matching experts using automatic face recognition software at the Australian Passport Office are 20% more accurate than average people at detecting fraud, new research shows.
The first study to test the skills of FBI agents and other law enforcers trained in facial recognition has found they perform better than the average person or even computers on this difficult task.
Improving human performance in matching unfamiliar faces in passport control will help ensure the security and safety of Australians, writes David White.