Stochastic Partial Differential Equations for Computer Vision with Uncertain Data - Synthesis Lectures on Visual Computing - Tobias Preusser - Books - Morgan & Claypool Publishers - 9781681731438 - July 13, 2017
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data - Synthesis Lectures on Visual Computing


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The goal of this book is to introduce the reader to the recent advances from the field of uncertainty quantification and error propagation for computer vision, image processing, and image analysis that are based on partial differential equations (PDEs). It presents a concept with which error propagation and sensitivity analysis can be formulated with a set of basic operations.


160 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released July 13, 2017
ISBN13 9781681731438
Publishers Morgan & Claypool Publishers
Pages 160
Dimensions 150 × 220 × 10 mm   ·   290 g
Language English  
Series Editor Barsky, Brian A.

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