By Topic

Face recognition evaluation of an association cortex - entorhinal cortex hippocampal formation model by successive learning

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Nakamura, K. ; Graduate school of Eng., Toyama Prefectural Univ., Japan ; Yamazaki, M. ; Ohzawa, K.

Based on the visual information processing system in the brain, we developed an association cortex to entorhinal - hippocampal neural network model (AEH model) for learning and recollection of human faces. We evaluated the learning and recollection performance of the AEH model by computer simulation. We presented each human face to the AEH model twice. We regarded that the AEH model recognized each face correctly if the AEH model learned the face the first time and recalled it the second time, in accordance with human perception. In the experiment, ten human faces were successively presented to the AEH model. The recognition performance of the model was 100 percent correct, indicating the effectiveness of the representation and transformation algorithm of the AEH model

Published in:

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers

Date of Conference: