Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Object recognition, neurophysiology

Wallis, G., & Bülthoff, H. (2002). Object recognition, neurophysiology. In The Handbook of Brain Theory and Neural Networks (pp. 792-796). Cambridge, MA, USA: MIT Press.

Item is

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Wallis, GM1, Autor           
Bülthoff, HH1, Autor           
Arbib, M. A., Herausgeber
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: As viewing distance, viewing angle or lighting conditions change, so too does the image of an object which we see. Despite the seemingly endless variety of images that objects can project, the human visual system remains able to rapidly and reliably identify them across huge changes in appearance. Understanding how humans achieve this feat of recognition has long been a source of debate. Despite a concerted e ort, researchers are still undecided even about the most fundamental questions of how objects are represented in cortex. This chapter gives a brief overview of some theoretical approaches in the context of mainly neurophysiological evidence. It also considers the related question of objects within a physical context, that is the analysis of visual scenes. Scene analysis is relevant to the question of object recognition because scenes are initially recognised at a holistic, object-like level, providing a context or `gist' which itself in uences the speed and accuracy of recognition of the constituent objects (Rensink, 2000). A precise characterisation of gist remains elusive, but it may well include information such as global color patterns, spatial frequency content, correlational structure, anything which is useful for categorising or recognising the scene.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2002-11
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: 2. ed.
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISBN: 0-262-01197-2
BibTex Citekey: 2009
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: The Handbook of Brain Theory and Neural Networks
Genre der Quelle: Buch
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Cambridge, MA, USA : MIT Press
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 792 - 796 Identifikator: -