Buch, Englisch, 912 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 1700 g
Theory, Algorithms, Practicalities
Buch, Englisch, 912 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 1700 g
ISBN: 978-0-12-386908-1
Verlag: William Andrew Publishing
Key features include:
- Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice
- New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision
- Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples
- Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging
- The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject
Zielgruppe
<p>Embedded, electronic systems, signal/image processing and computer engineering R&D engineers; post graduates and PhD researchers in machine and computer vision.</p>
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
Weitere Infos & Material
1. Vision, the Challenge2. Images and Imaging Operations3. Basic Image Filtering Operations4. Thresholding Techniques5. Edge Detection6. Corner and Interest Point Detection7. Mathematical Morphology8. Texture9. Binary Shape Analysis10. Boundary Pattern Analysis11. Line Detection12. Circle and Ellipse Detection13. The Hough Transform and Its Nature14. Abstract Pattern Matching Techniques15. The Three-Dimensional World16. Tackling the perspective n-point problem17. Invariants and perspective18. Image transformations and camera calibration19. Motion20. Automated Visual Inspection21. Inspection of Cereal Grains22. Surveillance23. In-Vehicle Vision Systems24 Statistical Pattern Recognition25. Image Acquisition26. Real-Time Hardware and Systems Design Considerations27. Epilogue - Perspectives in VisionAppendix Robust statistics