Fast and exact Bi-directional Fitting of Active Appearance Models

Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic

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    7 Citations (Scopus)
    21 Downloads (Pure)

    Abstract

    Finding landmarks on objects like faces is a challenging computer vision problem, especially in real life conditions (or in-the-wild) and Active Appearance Models have been widely used to solve it. State-of-the-art algorithms for fitting an AAM to a new image are based on Gauss-Newton (GN) optimization. Recently fast GN algorithms have been proposed for both forward additive and inverse compositional fitting frameworks. In this paper, we propose a fast and exact bi-directional (Fast-Bd) approach to AAM fitting by combining both approaches. Although such a method might appear to increase computational burden, we show that by capitalizing on results from optimization theory, an exact solution, as computationally efficient as the original forward or inverse formulation, can be derived. Our proposed bi-directional approach achieves state-of-the-art performance and superior convergence properties. These findings are validated on two challenging, in-the-wild data sets, LFPW and Helen, and comparison is provided to the state-of-the art methods for Active Appearance Models fitting.
    Original languageUndefined
    Title of host publicationProceedings of IEEE International Conference on Image Processing (ICIP 2015)
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages1135-1139
    Number of pages5
    ISBN (Print)978-1-4799-8339-1
    DOIs
    Publication statusPublished - Sep 2015
    EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
    Duration: 27 Sep 201530 Sep 2015

    Publication series

    Name
    PublisherIEEE Computer Society

    Conference

    ConferenceIEEE International Conference on Image Processing, ICIP 2015
    Abbreviated titleICIP
    CountryCanada
    CityQuebec City
    Period27/09/1530/09/15

    Keywords

    • inverse compositional
    • bi-directional fitting
    • EWI-26776
    • EC Grant Agreement nr.: FP7/611153
    • EC Grant Agreement nr.: FP7/2007-2013
    • METIS-316029
    • IR-99506
    • Active Appearance Models
    • GaussNewton
    • forward additive
    • HMI-HF: Human Factors

    Cite this

    Kossaifi, J., Tzimiropoulos, G., & Pantic, M. (2015). Fast and exact Bi-directional Fitting of Active Appearance Models. In Proceedings of IEEE International Conference on Image Processing (ICIP 2015) (pp. 1135-1139). USA: IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7350977