| Document Date: 2010-09-06 04:38:56
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City Dubrovnik / Rome / Venice / / Company Cornell University Google Inc. / Microsoft / Richard Szeliski4 1 Google Inc. / / Facility University of Washington / store S / Trafalgar Square / / IndustryTerm type bundle adjustment algorithm / convergent algorithm / largescale bundle adjustment algorithms / matrix vector products / symmetric positive definite systems / type algorithm / search term / non-linear optimization algorithms / matrix vector product / bundle adjustment algorithms / art algorithms / computing / iterative solution / large linear systems / / OperatingSystem Linux / / Organization University of Washington / Cornell University / / Position author was / / Product L2 / / ProgrammingLanguage C++ / / Technology bundle adjustment algorithms / RAM / largescale bundle adjustment algorithms / inexact Newton type bundle adjustment algorithm / resulting algorithm / six algorithms / inexact step LM algorithms / 5 5.1 Experimental Evaluation Algorithms / Linux / GPS / PCG algorithm / 2.1 Levenberg Marquardt Algorithm / step LM algorithms / convergent algorithm / Preconditioned Conjugate Gradients algorithm / LM algorithm / non-linear optimization algorithms / truncated LM algorithm / inexact step LM algorithm / six bundle adjustment algorithms / inexact Newton type algorithm / Szeliski algorithms / Conjugate Gradients algorithm / art algorithms / / URL http /
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Bundle Adjustment in the Large Sameer Agarwal1? , Noah Snavely2 , Steven M. Seitz3 , and Richard Szeliski4 1 Google Inc. Cornell University