Scene categorization at large visual eccentricities

Boucart, Muriel; Moroni, Christine; Thibaut, Miguel; Szaffarczyk, Sebastien; Greene, Michelle

Type de document :

Article dans une revue scientifique

DOI :

10.1016/j.visres.2013.04.006

PMID :

23597581

URL permanente :

http://hdl.handle.net/20.500.12210/31871

Titre :

Scene categorization at large visual eccentricities

Auteur(s) :

Boucart, Muriel [Auteur]

Laboratoire de Neurosciences Fonctionnelles et Pathologies [LNFP]
Moroni, Christine [Auteur]

Laboratoire de Neurosciences Fonctionnelles et Pathologies [LNFP]
Thibaut, Miguel [Auteur]
Laboratoire Plasticité du Cerveau Brain Plasticity (UMR 8249) [PdC]
Szaffarczyk, Sebastien [Auteur]
Laboratoire de Neurosciences Fonctionnelles et Pathologies [LNFP]
Greene, Michelle [Auteur]
Computer Systems Laboratory [Stanford] [CSL]

Titre de la revue :

Vision research

Numéro :

Pagination :

35-42

Date de publication :

2013-06-28

Discipline(s) HAL :

Sciences cognitives

Résumé en anglais : [en]

Studies of scene perception have shown that the visual system is particularly sensitive to global properties such as the overall layout of a scene. Such global properties cannot be computed locally, but rather require ...
Lire la suite >Studies of scene perception have shown that the visual system is particularly sensitive to global properties such as the overall layout of a scene. Such global properties cannot be computed locally, but rather require relational analysis over multiple regions. To what extent is observers' perception of scenes impaired in the far periphery? We examined the perception of global scene properties (Experiment 1) and basic-level categories (Experiment 2) presented in the periphery from 10° to 70°. Pairs of scene photographs were simultaneously presented left and right of fixation for 80ms on a panoramic screen (5m diameter) covering the whole visual field while central fixation was controlled. Observers were instructed to press a key corresponding to the spatial location left/right of a pre-defined target property or category. The results show that classification of global scene properties (e.g., naturalness, openness) as well as basic-level categorization (e.g., forests, highways), while better near the center, were accomplished with a performance highly above chance (around 70% correct) in the far periphery even at 70° eccentricity. The perception of some global properties (e.g., naturalness) was more robust in peripheral vision than others (e.g., indoor/outdoor) that required a more local analysis. The results are consistent with studies suggesting that scene gist recognition can be accomplished by the low resolution of peripheral vision.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

CHU Lille
CNRS
Université de Lille

Collections :

Autres travaux scientifiques

Date de dépôt :

2020-09-14T10:32:17Z
2021-03-15T10:30:29Z
2021-12-07T12:52:34Z

Historique des modifications

Numéro de version	Lien	Date de modification
4	20.500.12210/31871*	2021-12-07T12:50:39Z
3	20.500.12210/31871.3	2021-03-15T10:18:18Z
1	20.500.12210/31871.1	2020-09-14T10:32:17Z

*Version sélectionnée

Scene categorization at large visual ... BibTeX CSV Excel RIS

Historique des modifications

Scene categorization at large visual ...

BibTeX

CSV

Excel

RIS