DocumentCode :
2714793
Title :
Visibility Based Preconditioning for bundle adjustment
Author :
Kushal, Avanish ; Agarwal, Sameer
Author_Institution :
Univ. of Washington, Seattle, WA, USA
fYear :
2012
fDate :
16-21 June 2012
Firstpage :
1442
Lastpage :
1449
Abstract :
We present Visibility Based Preconditioning (VBP) a new technique for efficiently solving the linear least squares problems that arise in bundle adjustment (Triggs et al., 1999). Using the camera-point visibility structure of the scene, we describe the construction of two preconditioners. These preconditioners when combined with an inexact step Levenberg-Marquardt algorithm (Wright and Holt, 1985) offer state of the art performance on the BAL data set (Agarwal et al., 2010), with 3-5× reduction in execution time over currently available methods while delivering comparable or better solution quality.
Keywords :
cameras; image matching; image reconstruction; BAL data set; bundle adjustment; inexact step Levenberg-Marquardt algorithm; linear least squares problems; scene camera-point visibility structure; visibility based preconditioning; Approximation methods; Cameras; Clustering algorithms; Jacobian matrices; Symmetric matrices; Vectors; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
Conference_Location :
Providence, RI
ISSN :
1063-6919
Print_ISBN :
978-1-4673-1226-4
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2012.6247832
Filename :
6247832
Link To Document :
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