Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Epipolar Geometry of Panoramic Cameras
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
A Unifying Theory for Central Panoramic Systems and Practical Applications
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Omni-Directional Vision with a Multi-part Mirror
RoboCup 2000: Robot Soccer World Cup IV
Catadioptric Omnidirectional Camera
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Catadioptric Sensors that Approximate Wide-Angle Perspective Projections
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
Non-Single Viewpoint Catadioptric Cameras: Geometry and Analysis
International Journal of Computer Vision
Modelling and accuracy estimation of a new omnidirectional depth computation sensor
Pattern Recognition Letters
On the Calibration of Non Single Viewpoint Catadioptric Sensors
RoboCup 2006: Robot Soccer World Cup X
3D Tracking by Catadioptric Vision Based on Particle Filters
RoboCup 2007: Robot Soccer World Cup XI
Mirror localization for catadioptric imaging system by observing parallel light pairs
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Tracking objects with generic calibrated sensors: An algorithm based on color and 3D shape features
Robotics and Autonomous Systems
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Design of vertically aligned binocular omnistereo vision sensor
Journal on Image and Video Processing - Special issue on multicamera information processing: acquisition, collaboration, interpretation, and production
| Hi-index | 0.00 |
In this paper we present a general methodology for designing mirrors ofcatadioptric omnidirectional sensors encompassing linear projectionproperties, the so called constant resolution cameras. The linearity isstatedbetween 3D distances (or angles) and pixel coordinates.We include three practical cases of interest of linear constraints for bothstandard (cartesian pixel distribution) and log-polar cameras: constantvertical, horizontal and angular resolution.Finally, the formulation is applied in designing a camera combining some ofthe presented practical cases. Resulting images show that the design wassuccessful as the desired linear properties were obtained.