A Theory of Single-Viewpoint Catadioptric Image Formation
International Journal of Computer Vision
Catadioptric Projective Geometry
International Journal of Computer Vision
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Epipolar Geometry for Central Catadioptric Cameras
International Journal of Computer Vision
A Space-Sweep Approach to True Multi-Image Matching
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Projection Model, 3D Reconstruction and Rigid Motion Estimation from Non-Central Catadioptric Images
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Real-time Localization in Outdoor Environments using Stereo Vision and Inexpensive GPS
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
International Journal of Robotics Research
International Journal of Robotics Research
Dense disparity estimation from omnidirectional images
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
A pure vision-based topological SLAM system
International Journal of Robotics Research
Robotics and Autonomous Systems
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In recent years, it can be observed that there is a gradual increase in the number of researchers and projects involved with the development of omnidirectional vision systems for various applications. The primary factors, which contributed towards this positive trend, are the availability of inexpensive and high resolution vision sensors, robust and fast computers and the advantages of using such systems over perspective vision systems. In this paper, a novel variable multibaseline omnidirectional stereovision system is presented. The proposed algorithm is implemented on the GPU based on the Nvidia CUDA libraries and subsequently, this paper will provide details of the automatic baseline selection process. Finally, results of the multibaseline stereovision algorithm based on voxel voting will be illustrated and discussed. In addition, possible research directions suggested by this approach will also be discussed.