DocumentCode
2480442
Title
Beyond object constancy
Author
Harnad, Stevan
Author_Institution
Cognitive Sci. Centre, Southampton Univ., UK
fYear
1998
fDate
35838
Firstpage
42401
Lastpage
42403
Abstract
The author amplifies a point made by Pfeifer (1998) about the “fundamental problem of learning category distinctions”. Object constancy (the capacity to see an object as being of constant size and shape despite variation in retinal position and distance from the observer) is certainly one of the most fundamental category invariants that the brain is capable of detecting. The author shows how the principle of detecting and extracting invariants under sensorimotor transformations during sensorimotor interactions with objects can be generalised to more abstract invariants, extracted under more abstract transformations
Keywords
visual perception; abstract invariants; category distinction learning; invariant detection; invariant extraction; object constancy; retinal distance; retinal position; sensorimotor interactions; sensorimotor transformations;
fLanguage
English
Publisher
iet
Conference_Titel
Self-Learning Robots II: Bio-robotics (Digest No. 1998/248), IEE
Conference_Location
London
Type
conf
DOI
10.1049/ic:19980267
Filename
668384
Link To Document