An improved ASIFT algorithm for matching repeated patterns

Christopher Le Brese, Ju Jia Zou, Brian Uy

    Research output: Chapter in Book / Conference PaperConference Paper

    19 Citations (Scopus)

    Abstract

    ![CDATA[Image matching is a well researched topic of computer vision. Several new algorithms have been developed in recent times to deal with repetitive pattern matching and affine invariant matching. This paper presents two improvements over the state-of-the-art Affine-Scale Invariant Feature Transform (ASIFT) algorithm. The first improvement enables ASIFT to match repetitive patterns through the use of Graph Transformation Matching. The second increases the accuracy of matching by estimating the transformation between views more precisely. Results show that the proposed method is able to successfully match repetitive patterns such as the checkerboard. An increase in the number of matches can also be seen for matching views under severe affine transformations or projections.]]
    Original languageEnglish
    Title of host publicationIEEE International Conference on Image Processing ICIP 2010: Proceedings, September 26–29, 2010, Hong Kong
    PublisherIEEE
    Pages2949-2952
    Number of pages4
    ISBN (Print)9781424479948
    DOIs
    Publication statusPublished - 2010
    EventIEEE International Conference on Image Processing -
    Duration: 17 Sept 2017 → …

    Conference

    ConferenceIEEE International Conference on Image Processing
    Period17/09/17 → …

    Keywords

    • Affine-SIFT (ASIFT)
    • image registration

    Fingerprint

    Dive into the research topics of 'An improved ASIFT algorithm for matching repeated patterns'. Together they form a unique fingerprint.

    Cite this