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Bayesian Modeling of Uncertainty in Low-Level Vision
Richard Szeliski
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Description for Bayesian Modeling of Uncertainty in Low-Level Vision
Paperback. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 198 pages, biography. BIC Classification: TJFM; UYQ; UYQV. Category: (G) General (US: Trade). Dimension: 235 x 155 x 12. Weight in Grams: 343.
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 proposed and used in vision. Sze liski's method has a few distinguishing features that make this monograph im portant and attractive. First, he presents a systematic Bayesian probabilistic estimation framework in which we can define and ... Read more
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 proposed and used in vision. Sze liski's method has a few distinguishing features that make this monograph im portant and attractive. First, he presents a systematic Bayesian probabilistic estimation framework in which we can define and ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
198
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
198
Place of Publication
New York, NY, United States
ISBN
9781461289043
SKU
V9781461289043
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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