Quan : Affine Structure from Line Correspondences 3
نویسندگان
چکیده
| This paper presents a linear algorithm for recovering 3D aane shape and motion from line correspondences with uncalibrated aane cameras. The algorithm requires a minimum of seven line correspondences over three views. The key idea is the introduction of a one-dimensional projec-tive camera. This converts 3D aane reconstruction of \line directions" into 2D projective reconstruction of \points". In addition, a line-based factorisation 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.
منابع مشابه
Uncalibrated 1D projective camera and 3D affine reconstruction of lines
We describe a linear algorithm to recover 3D affine shape/motion from line correspondences over three views with uncalibrated affine cameras. The key idea is the introduction of a one-dimensional projective camera. This converts the 3D affine reconstruction of “lines” into 2D projective reconstruction of “points”. Using the full tensorial representation of three uncalibrated 1D views, we prove ...
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|This paper presents a linear algorithm for recovering 3D a ne shape and motion from line correspondences with uncalibrated a ne 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 a ne reconstruction of \line directions" into 2D projective reconstruction of \points". ...
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تاریخ انتشار 1997