Bundle adjustment method using sparse BFGS solution. Issue 8 (3rd August 2018)

• Record Type: Journal Article
• Authors: Li, Yanyan; Fan, Shiyue; Sun, Yanbiao; Wang, Qiang; Sun, Shanlin
• Is Part Of: Remote sensing letters. Volume 9:Issue 8(2018)
• Page Start: 789
• Page End: 798
• Publication Date: 2018-08-03
• Subjects: Remote sensing -- Periodicals; Remote sensing; Periodicals; 621.3678
• DOI: 10.1080/2150704X.2018.1480072
• Languages: English
• ISSNs: 2150-704X

Abstract

ABSTRACT: This letter introduces an efficient bundle adjustment (BA) method based on the sparse Broyden-Fletcher-Goldfarb-Shanno (sparse BFGS, sBFGS) solution, which efficiently estimates camera poses and 3-D points. The Levenberg-Marquardt (LM) solution, which is widely applied in BA problems, requires more linear equation solution and more iterations. A gain matrix calculated using both the Jacobian matrix and residual vector replaces the simple diagonal matrix of the LM solution, which results in a better estimation of the descent direction and step size when finding a path to a local minimum in a sparse BFGS solution. Four datasets were verified, and the results demonstrate that the proposed method requires fewer linear equation solutions to converge to a minimum compared with that of the LM-based BA method.