Perception as Bayesian Inference (Paperback) (ISBN-13: 9780521064996)

In recent years, 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 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 modeling 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 other's work. Students and researchers in cognitive and visual science will find much to interest them in this thought-provoking collection.

Author: David C. Knill
ISBN-10: 0521064996
ISBN-13: 9780521064996
Publisher: Cambridge University Press
Language: English
Published: 06/12/2008
Pages: 532
Format: Paperback
Weight: 2.01lbs
Size: 10.00h x 7.00w x 1.07d