In this book, the design of two new planar patterns for camera calibration of intrinsic parameters is addressed and a line-based method for distortion correction is suggested. The dynamic calibration of structured light systems, which consist of a camera and a projector is also treated. Also, the 3D Euclidean reconstruction by using the image-to-world transformation is investigated.
Lastly, linear calibration algorithms for the catadioptric camera are considered, and the homographic matrix and fundamental matrix are extensively studied. In these methods, analytic solutions are provided for the computational efficiency and redundancy in the data can be easily incorporated to improve reliability of the estimations. This volume will therefore prove valuable and practical tool for researchers and practioners working in image processing and computer vision and related subjects.
| ISBN: | 9789401781008 |
| Publication date: | 24th February 2014 |
| Author: | Beiwei Zhang, Y F Li |
| Publisher: | Springer an imprint of Springer Netherlands |
| Format: | Paperback |
| Pagination: | 166 pages |
| Series: | Intelligent Systems, Control and Automation: Science and Engineering |
| Genres: |
Automatic control engineering Computer vision Numerical analysis |
In this book, the design of two new planar patterns for camera calibration of intrinsic parameters is addressed and a line-based method for distortion correction is suggested. The dynamic calibration of structured light systems, which consist of a camera and a projector is also treated.
Automatic Calibration and Reconstruction for Active Vision Systems features in the following genres: Automatic control engineering, Computer vision, Numerical analysis
Paperback. Not Available.
Automatic Calibration and Reconstruction for Active Vision Systems was written by Beiwei Zhang, Y F Li and published by Springer an imprint of Springer Netherlands
Automatic Calibration and Reconstruction for Active Vision Systems has 166 pages
Yes it is part of Intelligent Systems, Control and Automation: Science and Engineering series