Buch, Englisch, Band 8, 160 Seiten, Format (B × H): 156 mm x 234 mm
Buch, Englisch, Band 8, 160 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Foundations and Trends® in Signal Processing
ISBN: 978-1-60198-314-5
Verlag: Now Publishers
Computer vision systems attempt to understand a scene and its components from mostly visual information. The geometry exhibited by the real world, the influence of material properties on scattering of incident light, and the process of imaging introduce constraints and properties that are key to solving some of these tasks. In the presence of noisy observations and other uncertainties, the algorithms make use of statistical methods for robust inference. In this paper, we highlight the role of geometric constraints in statistical estimation methods, and how the interplay of geometry and statistics leads to the choice and design of algorithms. In particular, we illustrate the role of imaging, illumination, and motion constraints in classical vision problems such as tracking, structure from motion, metrology, activity analysis and recognition, and appropriate statistical methods used in each of these problems.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
Weitere Infos & Material
1: Introduction 2: Geometric Models for Imaging 3: Statistical Estimation Techniques 4: Detection, Tracking, and Recognition in Video 5: Statistical Analysis of Structure and Motion Algorithms 6: Shape, Identity and Activity Recognition 7: Future Trends. Acknowledgements. References.
