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Graph Matching on a Low-Cost and Parallel Architecture

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Pattern Recognition and Image Analysis (IbPRIA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6669))

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Abstract

This paper presents a new parallel algorithm to compute the graph-matching based on the Graduated Assignment. The aim of this paper is to perform graph matching in a current desktop computer, but, instead of executing the code in the generic processor, we execute a parallel code in the graphic processor unit. This computer can be embedded in a low-cost pattern recognition system or a mobile robot. Experiments show a speed-up of the run time around 400 times, which makes the use of attributed graphs to represent objects a valid solution.

This research was partially supported by Consolider Ingenio 2010; project CSD2007-00018 and by the CICYT project DPI 2010-17112.

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References

  1. Gold, S., Rangarajan, A.: A Graduated Assignment Algorithm for Graph Matching. IEEE TPAMI 18(4), 377–388 (1996)

    Article  Google Scholar 

  2. Owens, J.: Streaming architectures and technology trends. GPU Gems 2, 457–470 (2005)

    Google Scholar 

  3. Kuhn, H.W.: The Hungarian method for the assignment problem Export. Naval Research Logistics Quarterly 2(1-2), 83–97 (1955)

    Article  MathSciNet  Google Scholar 

  4. Sinkhorn, R.: A Relationship Between Arbitrary Positive Matrices and Doubly Stochastic Matrices. The Annals of Mathematical Statistics 35(2), 876–879 (1964)

    Article  MathSciNet  MATH  Google Scholar 

  5. Zenios, S.A., Iu, S.-L.: Vector and parallel computing for matrix balancing. Annals of Operations Research 22, 161–180 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  6. Zenios, S.A.: Matrix balancing on a massively parallel Connection Machine. ORSA Journal on Computing 2, 112–125 (1990)

    Article  MATH  Google Scholar 

  7. NVIDIA CUDA, http://developer.nvidia.com/object/cuda.html

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© 2011 Springer-Verlag Berlin Heidelberg

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Rodenas, D., Serratosa, F., Solé, A. (2011). Graph Matching on a Low-Cost and Parallel Architecture. In: Vitrià, J., Sanches, J.M., Hernández, M. (eds) Pattern Recognition and Image Analysis. IbPRIA 2011. Lecture Notes in Computer Science, vol 6669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21257-4_63

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  • DOI: https://doi.org/10.1007/978-3-642-21257-4_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21256-7

  • Online ISBN: 978-3-642-21257-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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