Journal article icon

Journal article

Modeling grouping through interactions between top-down and bottom-up processes: The grouping and selective attention for identification model (G-SAIM)

Abstract:

We preset a new approach to modelling grouping in a highly-parallel and flexible system. The system is is based on the Selective Attention for Identification model (SAIM) [1], but extends it by incorporating feature extraction and grouping processes: the Grouping and Selective for Identification for Identification model (G-SAIM). The main grouping mechanism is implemented in a layered grouping-selection network. In this network activation spreads across similar adjacent pixels in a bottom-up ...

Expand abstract
Publication status:
Published

Actions


Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Journal:
ATTENTION AND PERFORMANCE IN COMPUTATIONAL VISION
Volume:
3368
Pages:
148-158
Publication date:
2005
ISSN:
0302-9743
URN:
uuid:eb594821-688e-42f6-8f4d-e1227d503297
Source identifiers:
311625
Local pid:
pubs:311625
Language:
English

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP