By Topic

Real-time successive face learning by association cortex - entorhinal cortex - hippocampal formation model

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
$33 $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)
J. -I. Nitta ; Graduate Sch. of Eng., Toyama Prefectural Univ., Japan ; H. Takano ; K. Nakamura

In the brain, it is thought that the shape recognition system and the spatial recognition systems operate in parallel. An association cortex entorhinal cortex - hippocampal formation model (AEH model) was constructed based on the existing neurophysiological knowledge. Using the AEH model, we developed a real-time individual discrimination system, which operated similarly to human perception. The whole face was detected from the input picture of a digital video-camera using a real-time eye tracking system. The separation of the whole face into four face parts (eyebrows, eyes, nose, mouth) was automated. We presented pictures of the separated face parts to the AEH model. We considered the AEH model to have recognized each face correctly if the AEH model learned the face the first time and recollected it the second time. In the experiment, the recognition performance of the model was 100% correct.

Published in:

SICE 2003 Annual Conference  (Volume:1 )

Date of Conference:

4-6 Aug. 2003