Automatic Calibration and Reconstruction for Active Vision Systems
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...
محفوظ في:
| المؤلفون الرئيسيون: | , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Dordrecht :
Springer Netherlands
2012.
Cham : Springer Nature |
| الطبعة: | 2012. |
| سلاسل: | Intelligent Systems, Control and Automation: Science and Engineering
57 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Automatic calibration and reconstruction for active vision systems, by Beiwei Zhang, 2012, Dordrecht, Springer, 1 vol. (IX-164 p.), Intelligent systems, control and automation, 978-94-0072653-6 |
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| 100 | 1 | |a Zhang, Beiwein. | |
| 245 | 1 | 0 | |a Automatic Calibration and Reconstruction for Active Vision Systems |c by Beiwei Zhang, Y. F. Li. |
| 250 | |a 2012. | ||
| 260 | |a Dordrecht : |b Springer Netherlands. | ||
| 260 | |a Cham : |b Springer Nature, |c 2012. | ||
| 490 | 0 | |a Intelligent Systems, Control and Automation: Science and Engineering |v 57 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Chapter 1 Introduction 1.1 Vision Framework 1.2 Background 1.2.1 Calibrated Reconstruction 1.2.1.1 Static Calibration based methods 1.2.1.2 Dynamic Calibration based methods 1.2.1.3 Relative Pose Problem 1.2.2 Uncalibrated 3D reconstruction 1.2.2.1 Factorization-based method 1.2.2.2 Stratification-based method 1.2.2.3 Using Structured Light System 1.3 Scope 1.3.1 System Calibration 1.3.2 Plane-based Homography 1.3.3 Structured Light System 1.3.4 Omni-directional Vision System 1.4 Objectives 1.5 Book Structures Chapter 2 System Description 2.1 System Introduction 2.1.1 Structured Light System 2.1.2 Omni-directional Vision System 2.2 Component Modeling 2.2.1 Convex Mirror 2.2.2 Camera Model 2.2.3 Projector Model 2.3 Pattern Coding Strategy 2.3.1 Introduction 2.3.2 Color-Encoded Light Pattern 2.3.3 Decoding the Light Pattern 2.4 Some Preliminaries 2.4.1 Notations and Definitions 2.4.2 Cross Ratio 2.4.3 Plane-based Homography 2.4.4 Fundamental Matrix Chapter 3 Static Calibration 3.1 Calibration Theory 3.2 Polygon-based Calibration 3.2.1 Design of the planar pattern 3.2.2 Solving the vanishing line 3.2.3 Solving the projection of a circle 3.2.4 Solving the projection of circular point 3.2.5 Algorithm 3.2.6 Discussion 3.3 Intersectant-Circle-based Calibration 3.3.1 Planar Pattern Design 3.3.2 Solution for the circular point 3.4 Concentric-Circle-based Calibration 3.4.1 Some Preliminaries 3.4.2 The polynomial eigenvalue problem 3.4.3 Orthogonality-based Algorithm | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 700 | 1 | |a Li, Youfu. |4 aut | |
| 776 | 0 | |0 166686824 |t Automatic calibration and reconstruction for active vision systems |f by Beiwei Zhang |d 2012 |c Dordrecht |n Springer |p 1 vol. (IX-164 p.) |s Intelligent systems, control and automation |z 978-94-0072653-6 | |
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