Perception as Bayesian Inference (Hardcover) (ISBN-13: 9780521461092)

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: 052146109X
ISBN-13: 9780521461092
Publisher: Cambridge University Press
Language: English
Published: 09/13/1996
Pages: 530
Format: Hardcover
Weight: 2.55lbs
Size: 10.25h x 7.28w x 1.15d