University of Glasgow at ImageCLEF 2009 robot vision task: a rule based approach

Yue Feng, Martin Halvey, Joemon M. Jose

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    For the submission from the University of Glasgow for the ImageCLEF 2009 Robot Vision Task a large set of interesting points were extracted using an edge corner detector, these points were used to represent each image. The RANSAC method [1] was then applied to estimate the similarity between test and training images based on the number of matched pairs of points.
    Original languageEnglish
    Title of host publicationMultilingual Information Access Evaluation II-Multimedia Experiments
    Subtitle of host publicationProceedings of the 10th Workshop of the Cross-Language Evaluation Forum (CLEF 2009)
    PublisherSpringer
    Pages295-298
    Number of pages4
    ISBN (Print)9783642157509
    DOIs
    Publication statusPublished - 2010

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Berlin Heidelberg
    Volume6242
    ISSN (Print)0302-9743

    Fingerprint

    Computer vision
    Detectors

    Keywords

    • ImageCLEF
    • RANSAC
    • robot vision

    Cite this

    Feng, Y., Halvey, M., & Jose, J. M. (2010). University of Glasgow at ImageCLEF 2009 robot vision task: a rule based approach. In Multilingual Information Access Evaluation II-Multimedia Experiments : Proceedings of the 10th Workshop of the Cross-Language Evaluation Forum (CLEF 2009) (pp. 295-298). (Lecture Notes in Computer Science ; Vol. 6242). Springer. https://doi.org/10.1007/978-3-642-15751-6_38
    Feng, Yue ; Halvey, Martin ; Jose, Joemon M. / University of Glasgow at ImageCLEF 2009 robot vision task: a rule based approach. Multilingual Information Access Evaluation II-Multimedia Experiments : Proceedings of the 10th Workshop of the Cross-Language Evaluation Forum (CLEF 2009). Springer, 2010. pp. 295-298 (Lecture Notes in Computer Science ).
    @inproceedings{0cf8dd2f6a464e8a8a3b61bc72575da3,
    title = "University of Glasgow at ImageCLEF 2009 robot vision task: a rule based approach",
    abstract = "For the submission from the University of Glasgow for the ImageCLEF 2009 Robot Vision Task a large set of interesting points were extracted using an edge corner detector, these points were used to represent each image. The RANSAC method [1] was then applied to estimate the similarity between test and training images based on the number of matched pairs of points.",
    keywords = "ImageCLEF, RANSAC, robot vision",
    author = "Yue Feng and Martin Halvey and Jose, {Joemon M.}",
    year = "2010",
    doi = "10.1007/978-3-642-15751-6_38",
    language = "English",
    isbn = "9783642157509",
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    Feng, Y, Halvey, M & Jose, JM 2010, University of Glasgow at ImageCLEF 2009 robot vision task: a rule based approach. in Multilingual Information Access Evaluation II-Multimedia Experiments : Proceedings of the 10th Workshop of the Cross-Language Evaluation Forum (CLEF 2009). Lecture Notes in Computer Science , vol. 6242, Springer, pp. 295-298. https://doi.org/10.1007/978-3-642-15751-6_38

    University of Glasgow at ImageCLEF 2009 robot vision task: a rule based approach. / Feng, Yue; Halvey, Martin; Jose, Joemon M.

    Multilingual Information Access Evaluation II-Multimedia Experiments : Proceedings of the 10th Workshop of the Cross-Language Evaluation Forum (CLEF 2009). Springer, 2010. p. 295-298 (Lecture Notes in Computer Science ; Vol. 6242).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AU - Jose, Joemon M.

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    N2 - For the submission from the University of Glasgow for the ImageCLEF 2009 Robot Vision Task a large set of interesting points were extracted using an edge corner detector, these points were used to represent each image. The RANSAC method [1] was then applied to estimate the similarity between test and training images based on the number of matched pairs of points.

    AB - For the submission from the University of Glasgow for the ImageCLEF 2009 Robot Vision Task a large set of interesting points were extracted using an edge corner detector, these points were used to represent each image. The RANSAC method [1] was then applied to estimate the similarity between test and training images based on the number of matched pairs of points.

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    KW - RANSAC

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    EP - 298

    BT - Multilingual Information Access Evaluation II-Multimedia Experiments

    PB - Springer

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    Feng Y, Halvey M, Jose JM. University of Glasgow at ImageCLEF 2009 robot vision task: a rule based approach. In Multilingual Information Access Evaluation II-Multimedia Experiments : Proceedings of the 10th Workshop of the Cross-Language Evaluation Forum (CLEF 2009). Springer. 2010. p. 295-298. (Lecture Notes in Computer Science ). https://doi.org/10.1007/978-3-642-15751-6_38