1 research outputs found
Human ability to match synthesised faces to their constituent faces
This item is only available electronically.Currently, facial recognition systems are used widely within various government agencies
as a means of identity verification, and these systems involve a human operator in the final decision
making process. Previous studies have shown that both face recognition systems and humans are
vulnerable to variables that may impede the face matching process, including the use of morphed
images, which are created by digitally combining multiple constituent faces into a new face.
Therefore, the current study aims to further investigate how the usage of different types of morphed
faces can affect human face matching performance. Participants (N = 51) from the University of
Adelaide and the general public completed 112 computer-based one-to-many face matching trials
in a repeated measures design. The type of morphed face used as the target image varied for each
trial, and was either made from 2, 8 or 16 constituent faces, or was a control non-morphed face.
Results indicated that the usage of 8-Image morphs resulted in significantly higher accuracy and
confidence, as well as faster response latency. Future research could be conducted using morphs
made from similar faces, and employ multidimensional scaling methods to map the morphs and
their constituent faces in face space.Thesis (B.PsychSc(Hons)) -- University of Adelaide, School of Psychology, 201