Bayesian Modeling of Uncertainty in Low-Level Vision

by Richard Szeliski

Book Overview

Vision has to deal with uncertainty. The sensors are noisy, the prior knowledge is uncertain or inaccurate, and the problems of recovering scene information from images are often ill-posed or underconstrained. This research monograph, which is based on Richard Szeliski's Ph.D. dissertation at Carnegie Mellon University, presents a Bayesian model for representing and processing uncertainty in low- level vision. Recently, probabilistic models have been...

• Format: Paperback
• Language: English
• ISBN: 1461289041
• ISBN13: 9781461289043
• Release Date: October 2011
• Publisher: Springer
• Length: 198 Pages
• Weight: 0.69 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"