A MAP approach to landmarking

G.M. Beumer

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    Abstract

    Landmarking can be seen as calculating the maximum a posteriori probability of a certain set of landmarks given a certain image (texture) which contains a face. The MLLL plus BILBO algorithm by Beumer et al [1] is one method. An improvement to this existing landmarking algorithm, MLLL in combination with BILBO, is presented. MLLL uses a likelihood ratio based similarity score to mark candidate landmark locations. BILBO uses a statistical method on the shape to correct outliers. A theoretical analysis of this intuitive approach shows new insight. In order to verify this theory we performed a simple experiment. The results show that using the new method performs significantly better than when only using the similarity score method (MLLL) in combination with outlier removal (BILBO).
    Original languageUndefined
    Title of host publicationProceedings of the 28th Symposium on Information Theory in the Benelux
    EditorsRaymond N.J. Veldhuis, R.N.J. Veldhuis, H.S. Cronie
    Place of PublicationEindhoven
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
    Pages183-188
    Number of pages6
    ISBN (Print)978-90-365-2509-1
    Publication statusPublished - 24 May 2007
    Event28th Symposium on Information Theory in the Benelux 2007 - Best Western Dish Hotel, Enschede, Netherlands
    Duration: 24 May 200725 May 2007
    Conference number: 28

    Publication series

    Name
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie
    NumberLNCS4549

    Conference

    Conference28th Symposium on Information Theory in the Benelux 2007
    CountryNetherlands
    CityEnschede
    Period24/05/0725/05/07

    Keywords

    • EWI-10854
    • IR-64278
    • METIS-241831
    • SCS-Safety

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