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2011
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Distributed Computer Vision Algorithms Through Distributed Averaging

8 years 2 months ago
Distributed Computer Vision Algorithms Through Distributed Averaging
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location. However, a distributed approach might be more appropriate when a network with a large number of cameras is used to analyze a scene. In this paper we show how centralized algorithms based on linear algebraic operations can be made distributed by using simple distributed averages. We cover algorithms such as SVD, least squares, PCA, GPCA, 3-D point triangulation, pose estimation and affine SfM.
Roberto Tron, René, Vidal
Added 08 Apr 2011
Updated 29 Apr 2011
Type Journal
Year 2011
Where CVPR
Authors Roberto Tron, René, Vidal
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