Motion and Structure from Line Correspondences; Closed-Form Solution, Uniqueness, and Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Lines and Points in Three Views and the Trifocal Tensor
International Journal of Computer Vision
Pose estimation using point and line correspondences
Real-Time Imaging
A Factorization Based Algorithm for Multi-Image Projective Structure and Motion
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Linear Pose Estimation from Points or Lines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Factorization Methods for Projective Structure and Motion
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
On the geometry and algebra of the point and line correspondences between N images
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Sequential Reconstruction of Lines in Projective Space
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Multiple-View Structure and Motion From Line Correspondences
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Line reconstruction from many perspective images by factorization
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Triangulation for points on lines
Image and Vision Computing
3D Line Reconstruction of a Road Environment Using an In-Vehicle Camera
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
MSLD: A robust descriptor for line matching
Pattern Recognition
Projective reconstruction of ellipses from multiple images
Pattern Recognition
Projective reconstruction of general 3D planar curves from uncalibrated cameras
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Robust line matching through line-point invariants
Pattern Recognition
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A new approach is proposed for reconstructing 3D lines and cameras from 2D corresponding lines across multiple uncalibrated views. There is no requirement that the 2D corresponding lines on different images represent the same segment of a 3D line, which may not appear on all images. A 3D line is reconstructed by minimizing a geometric cost function that measures the distance of the reprojected end points of the 3D segment from the measured 2D lines on different images. An algorithmic procedure is provided with guaranteed convergence to a solution where the geometric cost function achieves a (local) minimum.