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18th International Conference on Pattern Recognition (ICPR'06) Volume 1
Augmented Lagrangian Approach for Projective Reconstruction from Multiple Views
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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F. Mai, Y.S. Hung, "Augmented Lagrangian Approach for Projective Reconstruction from Multiple Views," Pattern Recognition, International Conference on, vol. 1, pp. 634-637, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2006.285,
author = {F. Mai and Y.S. Hung},
title = {Augmented Lagrangian Approach for Projective Reconstruction from Multiple Views},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2006},
issn = {1051-4651},
pages = {634-637},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.285},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Augmented Lagrangian Approach for Projective Reconstruction from Multiple Views
SN - 1051-4651
SP634
EP637
A1 - F. Mai,
A1 - Y.S. Hung,
PY - 2006
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
F. Mai, University of Hong Kong, Hong Kong
Y.S. Hung, University of Hong Kong, Hong Kong
In this paper, we propose a new factorizationbased algorithm for projective reconstruction by minimizing the 2D reprojection error in multiple images. Reformulating the projective reconstruction problem into a constrained minimization one, we estimate the projective depths, the projection matrix and the projective motion together by the solving a sequence of unconstrained minimization problems using the augmented Lagrangian method. The proposed algorithm is ready to handle missing data and it is guaranteed to converge more robustly and rapidly than the algorithm of [6].
Citation:
F. Mai, Y.S. Hung, "Augmented Lagrangian Approach for Projective Reconstruction from Multiple Views," icpr, vol. 1, pp.634-637, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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