Perception as Bayesian Inference - Couverture souple

Knill, David C.

Couverture souple

ISBN 10 : 0521064996 ISBN 13 : 9780521064996

Editeur : Cambridge University Press, 2008

Synopsis

This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights.

A propos du livre

Présentation de l'éditeur

Bayesian probability theory has emerged not only as a powerful tool for building computational theories of vision, but also as a general paradigm for studying human visual perception. This 1996 book provides an introduction to and critical analysis of the Bayesian paradigm. Leading researchers in computer vision and experimental vision science describe general theoretical frameworks for modelling vision, detailed applications to specific problems and implications for experimental studies of human perception. The book provides a dialogue between different perspectives both within chapters, which draw on insights from experimental and computational work, and between chapters, through commentaries written by the contributors on each others' work. Students and researchers in cognitive and visual science will find much to interest them in this thought-provoking collection.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2008
• Langue: anglais
• ISBN 10: 0521064996
• ISBN 13: 9780521064996
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 532
• Coordonnées du fabricant: non disponible
• Personne responsable: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; France