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Bayesian Modeling of Uncertainty in Low-Level Vision by Richard Szeliski (Englis

Description: Bayesian Modeling of Uncertainty in Low-Level Vision by Richard Szeliski Estimated delivery 3-12 business days Format Paperback Condition Brand New Description First, he presents a systematic Bayesian probabilistic estimation framework in which we can define and compute the prior model, the sensor model, and the posterior model. Publisher Description 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 Szeliskis 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 liskis 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 compute the prior model, the sensor model, and the posterior model. Second, his method represents and computes explicitly not only the best estimates but also the level of uncertainty of those estimates using second order statistics, i.e., the variance and covariance. Third, the algorithms developed are computationally tractable for dense fields, such as depth maps constructed from stereo or range finder data, rather than just sparse data sets. Finally, Szeliski demonstrates successful applications of the method to several real world problems, including the generation of fractal surfaces, motion estimation without correspondence using sparse range data, and incremental depth from motion. Details ISBN 1461289041 ISBN-13 9781461289043 Title Bayesian Modeling of Uncertainty in Low-Level Vision Author Richard Szeliski Format Paperback Year 2011 Pages 198 Publisher Springer-Verlag New York Inc. GE_Item_ID:158884090; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Location: Fairfield, Ohio

End Time: 2024-12-27T03:08:58.000Z

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Bayesian Modeling of Uncertainty in Low-Level Vision by Richard Szeliski (Englis

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Restocking Fee: No

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ISBN-13: 9781461289043

Book Title: Bayesian Modeling of Uncertainty in Low-Level Vision

Number of Pages: Xx, 198 Pages

Language: English

Publication Name: Bayesian Modeling of Uncertainty in Low-Level Vision

Publisher: Springer

Publication Year: 2011

Subject: Image Processing, Electrical, Computer Vision & Pattern Recognition

Item Weight: 12.1 Oz

Type: Textbook

Item Length: 9.3 in

Author: Richard Szeliski

Subject Area: Computers, Technology & Engineering

Series: The Springer International Series in Engineering and Computer Science Ser.

Item Width: 6.1 in

Format: Trade Paperback

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