Multiple Planar Intersects Recognition by Hough Transform

Yu Ting Chen; Xiao Lu Pan; Wei Yu; Ling Li; Qi Biao Ni

doi:10.4028/www.scientific.net/AMM.347-350.3190

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Multiple Planar Intersects Recognition by Hough...

Multiple Planar Intersects Recognition by Hough Transform

Abstract:

Detect the intersect lines of multiple planes is one way to recognize and reconstruct the 3D space. First, analyzed the depth data grabbed by SR3000, sampled the depth data into gray bitmap and detect the depth gradient edge. By using the improved Hough Transformation method, get the parameters of spatial intersection lines.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3190-3193

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3190

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Online since:

August 2013

Authors:

Yu Ting Chen, Xiao Lu Pan, Wei Yu, Ling Li, Qi Biao Ni

Keywords:

Depth Image, Hough Transformation, Planar Intersect, Spatial Line, SR3000, Three Dimensions (3D)

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References

[1] Illingworth J, Kittler J, A survey of the Hough transform[J], Computer Vision, Graphics, and Image processing, 1988, 44(1), p.87–107.

DOI: 10.1016/s0734-189x(88)80033-1

Google Scholar

[2] Pan Yi, A more efficient constant time algorithm for computing the Hough transform [J] , Parallel Processing Letters, 1994, 4( 1/ 2) , p.45–52.

DOI: 10.1142/s0129626494000065

Google Scholar

[3] Hanahara K, Maruyama T, Uchiyama T, A real time processor for the Hough transform [J], IEEE Transactions on Pattern Analysis and Machine Intelligence, 1988, 10( 1) , p.121–125.

DOI: 10.1109/34.3876

Google Scholar

[4] Chen Gaishi, Line Detection Algorithm Based on Improved Hough Transformation, Journal of Xi'an Aerotechnical College. 2007 , 5( 25), p.34–36.

Google Scholar

[5] Lv Meng, Research of the improved parallel line detection algorithm based on Hough transform., Image Processing and Multimedia Technology, 2010, 29(17), p.27–29.

Google Scholar

[6] Dagao Duan, Meng Xie, An Improved Hough Transform for Line Detection, IEEE International Conference on Computer Applica- tionand System Modeling, 2010, pp.354-357.

DOI: 10.1109/iccasm.2010.5620827

Google Scholar

[7] Hong Zhenhua, Zhu Xiaoyan, The Combined Hough Transform, Journal of Southeast University, 1992, 8(2), pp.36-43.

Google Scholar

[8] Y. Zhuang, N. Jiang, H. Hu, F. Yan, 3D-Laser-Based Scene Meas-urement and Place Recognition for Mobile Robots in Dynamic Indoor Environments, IEEE Transactions on Instrumentation and Measurement, 2013, 62(2), pp.438-450.

DOI: 10.1109/tim.2012.2216475

Google Scholar

[9] X. Chen, J. zhang, and Defang Li, Direct Discriminant Locality Pre-serving Projection with Limited-Memory Two-Order Hammerstein Polynomial Expansion, IEEE Trans On Image Processing, 2012, 21(12), pp.4858-4867.

DOI: 10.1109/tip.2012.2219542

Google Scholar

[10] Xu Xiaoyu, Huang Huan, Yang Xiaona, The location and recognition of players in sport game video, Journal of Zhengzhou University of Light Industry: Natural Science, (2012).

Google Scholar