A scalable parallel preconditioned conjugate gradient method for bundle adjustment

Bundle adjustment is a fundamental problem in computer vision, with important applications such as 3D structure reconstruction from 2D images. This paper focuses on large-scale bundle adjustment tasks, e.g. , city-wide 3D reconstruction, which require highly efficient solutions. For this purpose, it...

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Vydané v:	Applied intelligence (Dordrecht, Netherlands) Ročník 52; číslo 1; s. 753 - 765
Hlavní autori:	Peng, Jiaxin, Liu, Jie, Wei, Hua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.01.2022 Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Bundle adjustment Cameras Communication Computer networks Computer Science Computer vision Conjugate gradient method Decomposition Hessian matrices Image reconstruction Laboratories Machines Manufacturing Mechanical Engineering Methods Multiprocessing Optimization Processes Sparsity Bundle adjustment Preconditioned conjugate gradient Structure from motion
ISSN:	0924-669X, 1573-7497
On-line prístup:	Získať plný text
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