Buch, Englisch, 442 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 852 g
Principles, Tools and Methods
Buch, Englisch, 442 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 852 g
Reihe: Advances in Computer Vision and Pattern Recognition
ISBN: 978-1-4471-2457-3
Verlag: Springer
Image registration is the process of finding correspondence between all points in two images of a scene – a process with numerous applications in computer vision and imaging.
This comprehensive text/reference presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. The book begins by identifying the components of a general image registration system, and then describes the design of each component using various image analysis tools. The text reviews a vast array of tools and methods, not only describing the principles behind each tool and method, but also measuring and comparing their performances using synthetic and real data.
Topics and features: discusses a broad range of image analysis tools, including similarity/dissimilarity measures, point detectors, feature extraction and homogeneous descriptors, and feature selection and heterogeneous descriptors; examines robust estimators, point pattern matching algorithms, transformation functions, and image resampling and blending; covers a large number of image registration methods, such as principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods; provides all images and data used in the book at the website http://www.imgfsr.com/book2.html, enabling the reader to reproduce the results; includes a glossary, an extensive list of references, and an appendix on principal component analysis.
An excellent reference for courses on image registration, image processing, computer vision, pattern recognition, and image analysis, this unique text/guide is also suitable for image analysis software developers, engineers, and researchers interested in analyzing two or more images of a scene.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
Weitere Infos & Material
Introduction
Similarity and Dissimilarity Measures
Point Detectors
Feature Extraction
Image Descriptors
Feature Selection and Heterogeneous Descriptors
Point Pattern Matching
Robust Parameter Estimation
Transformation Functions
Image Resampling and Compositing
Image Registration Methods
A Principal Component Analysis (PCA)
