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Abstract

This paper presents a linear algorithm for recovering 3D affine shape and motion from line correspondences with uncalibrated affine cameras. The algorithm requires a minimum of seven line correspondences over three views. The key idea is the introduction of a one-dimensional projective camera. This converts 3D affine reconstruction of "line directions" into 2D projective reconstruction of "points". In addition, a line-based factorization method is also proposed to handle redundant views. Experimental results both on simulated and real image sequences validate the robustness and the accuracy of the algorithm.

Notes

Text Reference

Long Quan and Takeo Kanade, "Affine Structure from Line Correspondences With Uncalibrated Affine Cameras," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 9, August, 1997, pp. 834-845.

BibTeX Reference

@article{Kanade_1997_950,
   author = "Long Quan and Takeo Kanade",
   title = "Affine Structure from Line Correspondences With Uncalibrated Affine Cameras",
   journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
   pages = "834-845",
   month = "August",
   year = "1997",
   volume = "19",
   number = "9",
}

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