New eyes for building models from video
Computational Geometry: Theory and Applications - special issue on virtual reality
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Catadioptric Projective Geometry
International Journal of Computer Vision
Epipolar Geometry of Panoramic Cameras
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Omni-Directional Structure from Motion
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Eyes from Eyes: New Cameras for Structure from Motion
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
MixIn3D: 3D Mixed Reality with ToF-Camera
Dyn3D '09 Proceedings of the DAGM 2009 Workshop on Dynamic 3D Imaging
Wide-angle Visual Feature Matching for Outdoor Localization
International Journal of Robotics Research
An analysis-by-synthesis camera tracking approach based on free-form surfaces
Proceedings of the 29th DAGM conference on Pattern recognition
Dense 3D point cloud generation from multiple high-resolution spherical images
VAST'11 Proceedings of the 12th International conference on Virtual Reality, Archaeology and Cultural Heritage
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A standard approach to generate a camera pose from images of a single moving camera is Structure From Motion (SfM). When aiming on a practical implementation of SfM often a camera is needed that is lightweight and small. This work analyses which is the best camera and lens for SfM, that is small in size and available on the market. Therefore we compare cameras with fisheye and perspective lenses. It is shown that pose estimation is improved by a fisheye lens. Also some methods are discussed, how the large Field of View can be further exploited to improve the pose estimation.