HapticV1, PascalFrancis, Corpus, bibRecord, 000266

Learning different light prior distributions for different contexts

Identifieur interne : 000266 ( PascalFrancis/Corpus ); précédent : 000265; suivant : 000267

Learning different light prior distributions for different contexts

Auteurs : Iona S. Kerrigan ; Wendy J. Adams

Source :

Cognition [ 0010-0277 ] ; 2013.

RBID : Francis:13-0130465

Descripteurs français

Pascal (Inist)
- Apprentissage, Forme stimulus, Contexte, Ombre, Vision, Etude expérimentale, Eclairage, Homme, Cognition.

English descriptors

KwdEn :
- Cognition, Context, Experimental study, Human, Learning, Lighting, Shadow, Stimulus shape, Vision.

Abstract

The pattern of shading across an image can provide a rich sense of object shape. Our ability to use shading information is remarkable given the infinite possible combinations of illumination, shape and reflectance that could have produced any given image. Illumination can change dramatically across environments (e.g. indoor vs. outdoor) and times of day (e.g. mid-day vs. sunset). Here we show that people can learn to associate particular illumination conditions with particular contexts, to aid shape-from-shading. Following a few hours of visual-haptic training, observers modified their shape estimates according to the illumination expected in the prevailing context. Our observers learned that red lighting was roughly overhead (consistent with their previous assumption of lighting direction), whereas green lighting was shifted by 10°. Greater learning occurred when training for the two contexts (red or green light) was intermingled rather than when it was sequentially blocked.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	FRANCIS 13-0130465 INIST
ET :	Learning different light prior distributions for different contexts
AU :	KERRIGAN (Iona S.); ADAMS (Wendy J.)
AF :	Psychology, University of Southampton/Southampton SO17 1BJ/Royaume-Uni (1 aut., 2 aut.)
DT :	Publication en série; Niveau analytique
SO :	Cognition; ISSN 0010-0277; Coden CGTNAU; Pays-Bas; Da. 2013; Vol. 127; No. 1; Pp. 99-104; Bibl. 1/4 p.
LA :	Anglais
EA :	The pattern of shading across an image can provide a rich sense of object shape. Our ability to use shading information is remarkable given the infinite possible combinations of illumination, shape and reflectance that could have produced any given image. Illumination can change dramatically across environments (e.g. indoor vs. outdoor) and times of day (e.g. mid-day vs. sunset). Here we show that people can learn to associate particular illumination conditions with particular contexts, to aid shape-from-shading. Following a few hours of visual-haptic training, observers modified their shape estimates according to the illumination expected in the prevailing context. Our observers learned that red lighting was roughly overhead (consistent with their previous assumption of lighting direction), whereas green lighting was shifted by 10°. Greater learning occurred when training for the two contexts (red or green light) was intermingled rather than when it was sequentially blocked.
CC :	770B05C
FD :	Apprentissage; Forme stimulus; Contexte; Ombre; Vision; Etude expérimentale; Eclairage; Homme; Cognition
FG :	Processus acquisition; Perception
ED :	Learning; Stimulus shape; Context; Shadow; Vision; Experimental study; Lighting; Human; Cognition
EG :	Acquisition process; Perception
SD :	Aprendizaje; Forma estímulo; Contexto; Sombra; Visión; Estudio experimental; Alumbrado; Hombre; Cognición
LO :	INIST-15966.354000502451750100
ID :	13-0130465

Links to Exploration step

Francis:13-0130465

Le document en format XML

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Learning different light prior distributions for different contexts

Learning different light prior distributions for different contexts

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