Computer vision: theory, algorithms, practicalities – Ebook PDF Instant Delivery – ISBN(s): 9780128092842,012809284X
Product details:
- ISBN:
- Author: E. R. Davies
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject.
Table contents:
1. Vision, the Challenge
2. Images and Imaging Operations
3. Image Filtering and Morphology
4. The Role of Thresholding
5. Edge Detection
6. Corner, Interest Point and Invariant Feature Detection
7. Texture Analysis
8. Binary Shape Analysis
9. Boundary Pattern Analysis
10. Line, Circle and Ellipse Detection
11. The Generalised Hough Transform
12. Object Segmentation and Shape Models
13. Basic Classification Concepts
14. Machine Learning: Probabilistic Methods
15. Deep Learning Networks
16. The Three-Dimensional World
17. Tackling the Perspective n-point Problem
18. Invariants and perspective
19. Image transformations and camera calibration
20. Motion
21. Face Detection and Recognition: the Impact of Deep Learning
22. Surveillance
23. In-Vehicle Vision Systems
24. Epilogue
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