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  • Pattern-Based Corner Detection Algorithm

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    56348_1.pdf (538.0Kb)
    Author(s)
    Le, Xuesong
    Gonzalez, Ruben
    Griffith University Author(s)
    Gonzalez, Ruben
    Le, Xuesong
    Year published
    2009
    Metadata
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    Abstract
    In this paper, the problem of detecting corners is simplified into detecting geometric patterns in local neighborhood regions. This approach outperforms Harris corner detector, SIFT, FAST corner detector in terms of localisation, rotation invariant and noise robustness, invariant to luminance changes under common conditions.In this paper, the problem of detecting corners is simplified into detecting geometric patterns in local neighborhood regions. This approach outperforms Harris corner detector, SIFT, FAST corner detector in terms of localisation, rotation invariant and noise robustness, invariant to luminance changes under common conditions.
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    Conference Title
    2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)
    DOI
    https://doi.org/10.1109/ISPA.2009.5297715
    Copyright Statement
    © 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Subject
    Image processing
    Publication URI
    http://hdl.handle.net/10072/29961
    Collection
    • Conference outputs

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