B. Triggs, P. McLauchlan, R. Hartley, и A. Fitzgibbon. Proceedings of the International Workshop on Vision Algorithms: Theory and Practice, стр. 298--372. London, UK, UK, Springer-Verlag, (2000)
Аннотация
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the problem of refining a visual reconstruction to produce jointly optimal structure and viewing parameter estimates. Topics covered include: the choice of cost function and robustness; numerical optimization including sparse Newton methods, linearly convergent approximations, updating and recursive methods; gauge (datum) invariance; and quality control. The theory is developed for general robust cost functions rather than restricting attention to traditional nonlinear least squares.
%0 Conference Paper
%1 Triggs:1999:BAM:646271.685629
%A Triggs, Bill
%A McLauchlan, Philip F.
%A Hartley, Richard I.
%A Fitzgibbon, Andrew W.
%B Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
%C London, UK, UK
%D 2000
%I Springer-Verlag
%K adjustment bundle
%P 298--372
%T Bundle Adjustment - A Modern Synthesis
%U http://dl.acm.org/citation.cfm?id=646271.685629
%X This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the problem of refining a visual reconstruction to produce jointly optimal structure and viewing parameter estimates. Topics covered include: the choice of cost function and robustness; numerical optimization including sparse Newton methods, linearly convergent approximations, updating and recursive methods; gauge (datum) invariance; and quality control. The theory is developed for general robust cost functions rather than restricting attention to traditional nonlinear least squares.
%@ 3-540-67973-1
@inproceedings{Triggs:1999:BAM:646271.685629,
abstract = {This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the problem of refining a visual reconstruction to produce jointly optimal structure and viewing parameter estimates. Topics covered include: the choice of cost function and robustness; numerical optimization including sparse Newton methods, linearly convergent approximations, updating and recursive methods; gauge (datum) invariance; and quality control. The theory is developed for general robust cost functions rather than restricting attention to traditional nonlinear least squares.},
acmid = {685629},
added-at = {2012-11-19T10:12:50.000+0100},
address = {London, UK, UK},
author = {Triggs, Bill and McLauchlan, Philip F. and Hartley, Richard I. and Fitzgibbon, Andrew W.},
biburl = {https://www.bibsonomy.org/bibtex/2e05f7b3b57a97cb7a387f5a76583545a/daill},
booktitle = {Proceedings of the International Workshop on Vision Algorithms: Theory and Practice},
description = {Bundle Adjustment - A Modern Synthesis},
interhash = {90e90eae91b9834495f92d008b51bad8},
intrahash = {e05f7b3b57a97cb7a387f5a76583545a},
isbn = {3-540-67973-1},
keywords = {adjustment bundle},
numpages = {75},
pages = {298--372},
publisher = {Springer-Verlag},
series = {ICCV '99},
timestamp = {2012-11-19T10:12:50.000+0100},
title = {Bundle Adjustment - A Modern Synthesis},
url = {http://dl.acm.org/citation.cfm?id=646271.685629},
year = 2000
}