Foundations and Trends® in Computer Graphics and Vision > Vol 6 > Issue 1–2

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Peter Sturm, INRIA Grenoble — Rhône-Alpes and Laboratoire Jean Kuntzmann, France, Peter.Sturm@inrialpes.fr Srikumar Ramalingam, MERL, USA, ramalingam@merl.com Jean-Philippe Tardif, NREC — Carnegie Mellon University, USA, tardifj@gmail.com Simone Gasparini, INRIA Grenoble — Rhône-Alpes and Laboratoire Jean Kuntzmann, France, Simone.Gasparini@inrialpes.fr João Barreto, Coimbra University, Portugal, jpbar@deec.uc.pt
 
Suggested Citation
Peter Sturm, Srikumar Ramalingam, Jean-Philippe Tardif, Simone Gasparini and João Barreto (2011), "Camera Models and Fundamental Concepts Used in Geometric Computer Vision", Foundations and Trends® in Computer Graphics and Vision: Vol. 6: No. 1–2, pp 1-183. http://dx.doi.org/10.1561/0600000023

Published: 19 Jan 2011
© 2011 P. Sturm, S. Ramalingam, J.-P. Tardif, S. Gasparini and J. Barreto
 
Subjects
Shape,  3D reconstruction and image-based modeling,  Motion estimation and registration
 

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In this article:
1. Introduction and Background Material
2. Technologies
3. Camera Models
4. Epipolar and Multi-view Geometry
5. Calibration Approaches
6. Structure-from-Motion
7. Concluding Remarks
Acknowledgements
References

Abstract

This survey is mainly motivated by the increased availability and use of panoramic image acquisition devices, in computer vision and various of its applications. Different technologies and different computational models thereof exist and algorithms and theoretical studies for geometric computer vision ("structure-from-motion") are often re-developed without highlighting common underlying principles. One of the goals of this survey is to give an overview of image acquisition methods used in computer vision and especially, of the vast number of camera models that have been proposed and investigated over the years, where we try to point out similarities between different models. Results on epipolar and multi-view geometry for different camera models are reviewed as well as various calibration and self-calibration approaches, with an emphasis on non-perspective cameras. We finally describe what we consider are fundamental building blocks for geometric computer vision or structure-from-motion: epipolar geometry, pose and motion estimation, 3D scene modeling, and bundle adjustment. The main goal here is to highlight the main principles of these, which are independent of specific camera models.

DOI:10.1561/0600000023
ISBN: 978-1-60198-410-4
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ISBN: 978-1-60198-411-1
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Table of contents:
1. Introduction and Background Material
2. Technologies
3. Camera Models
4. Epipolar and Multi-View Geometry
5. Calibration Approaches
6. Structure-from-Motion
7. Concluding Remarks
Acknowledgements
References

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Camera Models and Fundamental Concepts Used in Geometric Computer Vision is mainly motivated by the increased availability and use of panoramic image acquisition devices, in computer vision and several of its applications. Different technologies and different computational models thereof exist and algorithms and theoretical studies for geometric computer vision ("structure-from-motion") are often re-developed without highlighting common underlying principles.

Camera Models and Fundamental Concepts Used in Geometric Computer Vision surveys the image acquisition methods used in computer vision and especially, the vast number of camera models that have been proposed and investigated over the years, and points out similarities between different models. Results on epipolar and multi-view geometry for different camera models are reviewed as well as various calibration and self-calibration approaches, with an emphasis on non-perspective cameras. Camera Models and Fundamental Concepts Used in Geometric Computer Vision also describes what the authors consider are fundamental building blocks for geometric computer vision or structure-from-motion: epipolar geometry, pose and motion estimation, 3D scene modeling, and bundle adjustment. The main goal here is to highlight the core principles of these, which are independent of specific camera models.

 
CGV-023