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Richard Szeliski - Bayesian Modeling of Uncertainty in Low-Level Vision - 9780792390398 - V9780792390398
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Bayesian Modeling of Uncertainty in Low-Level Vision

€ 131.93
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Description for Bayesian Modeling of Uncertainty in Low-Level Vision hardcover. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 198 pages, biography. BIC Classification: UYQV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 1080.
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
Hardback
Publication date
1989
Publisher
Springer 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
Dordrecht, Netherlands
ISBN
9780792390398
SKU
V9780792390398
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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