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Adaptive Line Matching for Low-Textured Images

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Pattern Recognition and Image Analysis (IbPRIA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9117))

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Abstract

A novel approach for line matching is proposed, aimed at achieving good performance with low-textured scenes, under uncontrolled illumination conditions. Line matching is performed by an iterative process that uses structural information collected through the use of different line neighbourhoods, making the set of matched lines grows robustly at each iteration. Results show that this approach is suitable to deal with low-textured scenes, and also robust under a wide variety of image transformations.

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Authors and Affiliations

  1. Centro de Investigación en Tecnoloxías da Información (CITIUS), Universidade de Santiago de Compostela, Campus Vida S/n, 15782, Santiago de Compostela, Spain

    Roi Santos, Xosé R. Fdez-Vidal & Xosé M. Pardo

Authors
  1. Roi Santos
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  2. Xosé R. Fdez-Vidal
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  3. Xosé M. Pardo
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Corresponding author

Correspondence to Roi Santos .

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Editors and Affiliations

  1. Universitat Politècnica de València, València, Spain

    Roberto Paredes

  2. Universidade do Porto, Porto, Portugal

    Jaime S. Cardoso

  3. Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Xosé M. Pardo

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© 2015 Springer International Publishing Switzerland

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Santos, R., Fdez-Vidal, X.R., Pardo, X.M. (2015). Adaptive Line Matching for Low-Textured Images. In: Paredes, R., Cardoso, J., Pardo, X. (eds) Pattern Recognition and Image Analysis. IbPRIA 2015. Lecture Notes in Computer Science(), vol 9117. Springer, Cham. https://doi.org/10.1007/978-3-319-19390-8_22

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  • DOI: https://doi.org/10.1007/978-3-319-19390-8_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19389-2

  • Online ISBN: 978-3-319-19390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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