Optimization for Computer Vision
An Introduction to Core Concepts and Methods
Seiten
2013
Springer London Ltd (Verlag)
978-1-4471-5282-8 (ISBN)
Springer London Ltd (Verlag)
978-1-4471-5282-8 (ISBN)
This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization;
This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: provides a comprehensive overview of computer vision-related optimization; covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization; describes in detail the optimization methods employed in computer vision applications; illuminates key concepts with clearly written and step-by-step explanations; presents detailed information on implementation, including pseudocode for most methods.
This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: provides a comprehensive overview of computer vision-related optimization; covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization; describes in detail the optimization methods employed in computer vision applications; illuminates key concepts with clearly written and step-by-step explanations; presents detailed information on implementation, including pseudocode for most methods.
Introduction.- Continuous Optimization.- Linear Programming and the Simplex Method.- Variational Methods.- Correspondence Problems.- Graph Cuts.- Dynamic Programming.
| Erscheint lt. Verlag | 24.7.2013 |
|---|---|
| Reihe/Serie | Advances in Pattern Recognition |
| Zusatzinfo | 93 Illustrations, color; 14 Illustrations, black and white; XI, 257 p. 107 illus., 93 illus. in color. |
| Verlagsort | England |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| ISBN-10 | 1-4471-5282-4 / 1447152824 |
| ISBN-13 | 978-1-4471-5282-8 / 9781447152828 |
| Zustand | Neuware |
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