Aj. Luckman et al., FAMILIAR FACE RECOGNITION - A COMPARATIVE-STUDY OF A CONNECTIONIST MODEL AND HUMAN-PERFORMANCE, Neurocomputing, 7(1), 1995, pp. 3-27
Citations number
35
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence",Neurosciences
A connectionist simulation of familiar face recognition by humans, whi
ch incorporates aspects of the Bruce and Young cognitive model, is dis
cussed in detail. The computer model employs three self-organising neu
ral maps, whose input vectors are the eye region, the mouth region and
a reduced resolution full-face image of the input grey-scale face ima
ges, together with a decision-making supervised multi-layer perceptron
as the output network. A comparative set of experiments has been perf
ormed using this simulation and human subjects for the task of familia
r face recognition. When the gender of the facial images is supplied t
o the simulation, the recall misclassifications of the simulation and
the human subjects are statistically similar.