Affine Structure from Line Correspondences With Uncalibrated Affine Cameras
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 8, pp. 834 - 845, August, 1997
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.
BibTeX
@article{Quan-1997-14449,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},
year = {1997},
month = {August},
volume = {19},
number = {8},
pages = {834 - 845},
}
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