DocumentCode :
1499071
Title :
Distributed Computer Vision Algorithms
Author :
Tron, Roberto ; Vidal, René
Volume :
28
Issue :
3
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
32
Lastpage :
45
Abstract :
The development of distributed computer vision algorithms promises to significantly advance the state of the art in computer vision systems by improving their efficiency and scalability (through the efficient integration of local information with global optimality guarantees) as well as their robustness to outliers and node failures (because of the use of redundant information). However, in order for this promise to be fulfilled, a number of fundamental challenges to the existing technology in computer vision, distributed optimization, and wireless sensor networks (WSNs) must be addressed.
Keywords :
computer vision; distributed computer vision algorithms; distributed optimization; wireless sensor networks; Algorithm design and analysis; Calibration; Cameras; Computer vision; Distributed algorithms; Feature extraction; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2011.940399
Filename :
5753112
Link To Document :
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