Artificial Intelligence - Special volume on computer vision
Nonmetric Calibration of Wide-Angle Lenses and Polycameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
Templates for the solution of algebraic eigenvalue problems: a practical guide
Templates for the solution of algebraic eigenvalue problems: a practical guide
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
The Quadratic Eigenvalue Problem
SIAM Review
Epipolar Geometry for Central Catadioptric Cameras
International Journal of Computer Vision
Exact Two-Image Structure from Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Creating Image-Based VR Using a Self-Calibrating Fisheye Lens
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Lens distortion calibration using point correspondences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Panoramic Mosaicing with a 180° Field of View Lens
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Estimation of omnidirectional camera model from epipolar geometry
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Structure from Motion with Wide Circular Field of View Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
Calibration of omnidirectional camera by considering inlier distribution
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Omnidirectional camera calibration and 3d reconstruction by contour matching
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Reconstructing illumination environment by omnidirectional camera calibration
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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We present a robust method of image points sampling used in ransac for a class of omnidirectional cameras (view angle above 180°) possessing central projection to obtain simultaneous estimation of a camera model and epipolar geometry.We focus on problem arising in ransac based estimation technique for omnidirectional images when the most of correspondences are established near the center of view field. Such correspondences satisfy the camera model for almost any degree of an image formation non-linearity. They are often selected in ransac as inliers, estimation stops prematurely, the most informative points near the border of the view field are not used, and incorrect camera model is estimated. We show that a remedy to this problem is achieved by not using points near the center of the view field circle for camera model estimation and controlling the points sampling in ransac. The camera model estimation is done from image correspondences only, without any calibration objects or any assumption about the scene except for rigidity. We demonstrate our method in real experiments with high quality but cheap and widely available Nikon FC-E8 fish-eye lens.