A Theory of Single-Viewpoint Catadioptric Image Formation
International Journal of Computer Vision
Paracatadioptric Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Catadioptric Projective Geometry
International Journal of Computer Vision
Epipolar Geometry for Central Catadioptric Cameras
International Journal of Computer Vision
3D Estimation using Panoramic Stereo
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Geometric Properties of Central Catadioptric Line Images and Their Application in Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure from Motion with Wide Circular Field of View Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
Epipolar Geometry of Central Projection Systems Using Veronese Maps
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
A unifying geometric representation for central projection systems
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
Automatic scene structure and camera motion using a catadioptric system
Computer Vision and Image Understanding
Estimating parameters of noncentral catadioptric systems using bundle adjustment
Computer Vision and Image Understanding
Estimation of omnidirectional camera model from epipolar geometry
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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The catadioptric vision system has seen an increasing interest due to its larger field of view. In this work, we present a method for calibrating the parabolic camera which consists of a parabolic mirror and an orthographic camera. Here, the mirror parameter and its positions are estimated from a closed-form solution with the assumption of the known intrinsic parameters of the camera a priori. The distinct advantage is that the enhanced robustness in implementation is obtained via the use of two over-constrained linear systems. So this method is computationally efficient and immune to the problem of local minima. Finally, some experiments are performed using the proposed algorithm and the results are acceptable.