A low-overhead asynchronous consensus framework for distributed bundle adjustment
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.1900451.pdf
Reference41 articles.
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3. Boţ RI, Csetnek ER, 2019. ADMM for monotone operators: convergence analysis and rates. Adv Comput Math, 45(1):327–359. https://doi.org/10.1007/s10444-018-9619-3
4. Boyd S, Parikh N, Chu E, et al., 2011. Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn, 3(1):1–122. https://doi.org/10.1561/2200000016
5. Cui ZP, Tan P, 2015. Global structure-from-motion by similarity averaging. IEEE Int Conf on Computer Vision, p.864–872. https://doi.org/10.1109/ICCV.2015.105
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