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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data - Synthesis Lectures on Visual Computing Tobias Preusser
Stochastic Partial Differential Equations for Computer Vision with Uncertain Data - Synthesis Lectures on Visual Computing
Tobias Preusser
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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