Determining straight line correspondences from intensity images
Pattern Recognition
International Journal of Computer Vision
International Journal of Computer Vision - 1998 Marr Prize
A Unifying Theory for Central Panoramic Systems and Practical Applications
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Automatic line matching across views
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Estimating motion and structure from correspondences of line segments between two perspective images
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
The 3D Line Motion Matrix and Alignment of Line Reconstructions
International Journal of Computer Vision
Wide-Baseline Stereo Matching with Line Segments
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
MSLD: A robust descriptor for line matching
Pattern Recognition
Motion estimation by decoupling rotation and translation in catadioptric vision
Computer Vision and Image Understanding
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
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We develop a generic line matching method especially applicable to omnidirectional images taken from constructed scenes with short baseline motion where the motion of the imaging system between two views is mainly an arbitrary rotation and the translation of the camera between two views with respect to its distance to the imaged scene is negligible. We start by studying the relationship between images of lines on unitary sphere followed by proposing a simple algorithm for simultaneously matching vanishing points and lines. The developed algorithm is very simple, yet it works on images captured by all types of central imaging systems, including perspective, fish-eye and catadioptric images. Various experimental results on both synthetic and real images taken by different central cameras as well as an application of the algorithm for creating high resolution panoramic images from several high resolution perspective images are also presented.