Extraction of Structured Light Stripe in Outdoor Environment for Unmanned System

Li Tian; Wei Zhu; Fang Di; Jian Li Li; Ke Jie Li

doi:10.4028/www.scientific.net/AMM.373-375.495

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Extraction of Structured Light Stripe in Outdoor...

Extraction of Structured Light Stripe in Outdoor Environment for Unmanned System

Abstract:

Structured light extraction is an important problem in 3-D measurement of structured light. Due to traditional structured light extraction methods are mostly applied in small visual field and simple environment. Therefore, a novel method is proposed based on the feature of structured light aiming at the large field and complex surroundings. Firstly, a region of interest (ROI) is obtained through a third sensor in order to reduce calculations and process conveniently. And then, structured light is extracted according to its feature of brightness distribution module and geometrical morphology trait. Experiment shows that this new method not only extracts structured light in such large field with strong background noise well but also reduces the computation to meet real-time requirement.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

495-499

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.495

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Online since:

August 2013

Authors:

Li Tian, Wei Zhu, Fang Di, Jian Li Li, Ke Jie Li

Keywords:

Image Processing, Light Strip Extraction, Outdoor Environment, Structured Light, Unmanned System, Vision Inspection

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References

[1] Yang C S, Curtis P, Payeur P: J. IEEE Transactions on Instrumentation and Measurement, 2006, 55(4): 1148-1159.

Google Scholar

[2] Demeyre M, Rurimunzu D, Eugene C: J. IEEE Transactions on Instrumentation and Measurement, 2007, 56(3): 867-872.

Google Scholar

[3] Forest J: New methods for triangulation-based shaped acquisition using laser scanner D. Spain: University of Girona, (2004).

Google Scholar

[4] Lavoie P, Ionescu D, Petriu E M: J. IEEE Transactions on Instrumentation and Measurement, 2004, 53(2): 437-442.

Google Scholar

[5] Kun Hu, Fuqiang Zhou, Guangjun Zhang: J. Chinese Journal of Scientific Instrument, 2006, 27(10): 1326-1329.

Google Scholar

[6] Ruiying Zhang, Ping Zhou, Xu Feng: J. Journal of applied optics, 2010, 31(3): 432-436.

Google Scholar

[7] Yinwen Dong, Bingcheng Yuan, Hangyu Wang: C. International Conference on Image Analysis and Signal Processing, 2011, pp.292-6.

DOI: 10.1109/iasp.2011.6109049

Google Scholar

[8] Guang Yang, Lei Hu, Qichao Lu: C. International Conference on Image Analysis and Signal Processing, 2011, pp.855-9.

Google Scholar