Computer Vision
Cambridge University Press (Verlag)
978-1-107-01179-3 (ISBN)
- Lieferbar (Termin unbekannt)
- Versandkostenfrei innerhalb Deutschlands
- Auch auf Rechnung
- Verfügbarkeit in der Filiale vor Ort prüfen
- Artikel merken
Dr Simon J. D. Prince is a faculty member in the Department of Computer Science at University College London. He has taught courses on machine vision, image processing and advanced mathematical methods. He has a diverse background in biological and computing sciences and has published papers across the fields of computer vision, biometrics, psychology, physiology, medical imaging, computer graphics and HCI.
Part I. Probability: 1. Introduction to probability; 2. Common probability distributions; 3. Fitting probability models; 4. The normal distribution; Part II. Machine Learning for Machine Vision: 5. Learning and inference in vision; 6. Modeling complex data densities; 7. Regression models; 8. Classification models; Part III. Connecting Local Models: 9. Graphical models; 10. Models for chains and trees; 11. Models for grids; Part IV. Preprocessing: 12. Image preprocessing and feature extraction; Part V. Models for Geometry: 13. The pinhole camera; 14. Models for transformations; 15. Multiple cameras; Part VI. Models for Vision: 16. Models for style and identity; 17. Temporal models; 18. Models for visual words; Part VII. Appendices: A. Optimization; B. Linear algebra; C. Algorithms.
Erscheint lt. Verlag | 18.6.2012 |
---|---|
Zusatzinfo | Worked examples or Exercises; 5 Tables, unspecified; 357 Plates, color |
Verlagsort | Cambridge |
Sprache | englisch |
Maße | 184 x 260 mm |
Gewicht | 1400 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
ISBN-10 | 1-107-01179-5 / 1107011795 |
ISBN-13 | 978-1-107-01179-3 / 9781107011793 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich