Paracatadioptric Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Epipolar Geometry for Central Catadioptric Cameras
International Journal of Computer Vision
A Method for 3D Reconstruction of Piecewise Planar Objects from Single Panoramic Images
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
A Theory of Catadioptric Image Formation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Paracatadioptric Camera Calibration Using Lines
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Fitting conics to paracatadioptric projections of lines
Computer Vision and Image Understanding
A unifying geometric representation for central projection systems
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
Image-based Visual Servoing with Central Catadioptric Cameras
International Journal of Robotics Research
International Journal of Computer Vision
A new linear algorithm for calibrating central catadioptric cameras
Pattern Recognition
Fitting conics to paracatadioptric projections of lines
Computer Vision and Image Understanding
Equidistant (fθ) fish-eye perspective with application in distortion centre estimation
Image and Vision Computing
Dynamic programming and skyline extraction in catadioptric infrared images
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Wide-angle Visual Feature Matching for Outdoor Localization
International Journal of Robotics Research
Range identification for nonlinear parameterizable paracatadioptric systems
Automatica (Journal of IFAC)
A method for calibrating the parabolic camera using homographic matrix
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Mapping and Localization for Mobile Robots through Environment Appearance Update
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
A Catadioptric and Pan-Tilt-Zoom Camera Pair Object Tracking System for UAVs
Journal of Intelligent and Robotic Systems
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
RANSAC based ellipse detection with application to catadioptric camera calibration
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
On improved calibration method for the catadioptric omnidirectional vision with a single viewpoint
Multimedia Tools and Applications
Calibration of Central Catadioptric Cameras Using a DLT-Like Approach
International Journal of Computer Vision
Journal of Intelligent and Robotic Systems
Calibration of omnidirectional cameras in practice: A comparison of methods
Computer Vision and Image Understanding
Rotation estimation and vanishing point extraction by omnidirectional vision in urban environment
International Journal of Robotics Research
Calibrating effective focal length for central catadioptric cameras using one space line
Pattern Recognition Letters
Hypercatadioptric line images for 3D orientation and image rectification
Robotics and Autonomous Systems
An accurate and robust visual-compass algorithm for robot-mounted omnidirectional cameras
Robotics and Autonomous Systems
A unified framework for line extraction in dioptric and catadioptric cameras
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Long-term mapping and localization using feature stability histograms
Robotics and Autonomous Systems
Corisco: Robust edgel-based orientation estimation for generic camera models
Image and Vision Computing
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In central catadioptric systems, lines in a scene are projected to conic curves in the image. This work studies the geometry of the central catadioptric projection of lines and its use in calibration. It is shown that the conic curves where the lines are mapped possess several projective invariant properties. From these properties, it follows that any central catadioptric system can be fully calibrated from an image of three or more lines. The image of the absolute conic, the relative pose between the camera and the mirror, and the shape of the reflective surface can be recovered using a geometric construction based on the conic loci where the lines are projected. This result is valid for any central catadioptric system and generalizes previous results for paracatadioptric sensors. Moreover, it is proven that systems with a hyperbolic/elliptical mirror can be calibrated from the image of two lines. If both the shape and the pose of the mirror are known, then two line images are enough to determine the image of the absolute conic encoding the camera's intrinsic parameters. The sensitivity to errors is evaluated and the approach is used to calibrate a real camera.