Single viewpoint catadioptric cameras
Panoramic vision
Paracatadioptric Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Catadioptric Projective Geometry
International Journal of Computer Vision
Multiscale Image Processing on the Sphere
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Omni-Directional Vision for Robot Navigation
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Calibration of Panoramic Catadioptric Sensors Made Easier
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Image Processing in Catadioptric Planes: Spatiotemporal Derivatives and Optical Flow Computation
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Panoramic Image Transform of Omnidirectional Images Using Discrete Geometry Techniques
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Fitting conics to paracatadioptric projections of lines
Computer Vision and Image Understanding
Matching scale-space features in 1D panoramas
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
A Fast Detector of Line Images Acquired by an Uncalibrated Paracatadioptric Camera
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Markov random fields for catadioptric image processing
Pattern Recognition Letters
Autonomous operators for direct use on irregular image data
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
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The use of omni-directional cameras has become increasingly popular in vision systems for video surveillance and autonomous robot navigation. However, to date most of the research relating to omni-directional cameras has focussed on the design of the camera or the way in which to project the omni-directional image to a panoramic view rather than the processing of such images after capture. Typically images obtained from omni-directional cameras are transformed to sparse panoramic images that are interpolated to obtain a complete panoramic view prior to low level image processing. This interpolation presents a significant computational overhead with respect to real-time vision.We present an efficient design procedure for space variant feature extraction operators that can be applied to a sparse panoramic image and directly processes this sparse image. This paper highlights the reduction of the computational overheads of directly processing images arising from omni-directional cameras through efficient coding and storage, whilst retaining accuracy sufficient for application to real-time robot vision.