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Smartphone Camera Based Visible Light Communication
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OA
AI
DOI：10.1109/JLT.2016.2590880.png)
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摘要
En 中文
The paper proposes a novel camera-based receiver for visible light communications for a short range mobile-to-mobile communications link. The receiver captures data from the screen of a transmitting smartphone and uses the speeded up robust features algorithm to effectively detect it. The receiver performs a projective transformation to accurately eliminate perspective distortions caused by the displacement of the devices. The paper also introduces a quantization process in order to suppress the inter-symbol interference resulting from the dynamic nature of the environment. A range of experiments are carried out in order to evaluate the system performance when the position parameters are varied. We show that the proposed system is capable of achieving a very high success rate of 98% in recovering the transmitted images under test conditions.
Keyword:
Image processing
Projective transformation
Smartphone
speeded up robust features (SURF)
visible light communications (VLC)
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期刊
IF:
4.8
论文数:
1.7W
被引数:
3.8W
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