Expression-invariant Non-rigid 3D Face Recognition: A Robust Approach to Expression-aware Morphing

F.R.M. Al-Osaimi, Mohammed Bennamoun, Ajmal Mian

    Research output: Chapter in Book/Conference paperConference paper

    6 Citations (Scopus)

    Abstract

    An automatic approach to the recognition of 3D face under any facial expression is presented. It has the capacity to differentiate between expression deformations, those which are caused by expressions, and interpersonal disparities that are essential for recognition. When two facial scans are matched the expression deformations are morphed out before similarity measure calculation while the interpersonal disparities are retained. A combination of PCA and ICP is used in our system. The PCA subspace is built in such a way it models the facial expressions while it does not model the human face. The approach was applied on the FRGC v2.0 dataset and superior recognition performance was achieved. The verification rates at 0.001FAR were 98.35% and 97.73% for scans under neutral and non-neutral expressions, respectively.
    Original languageEnglish
    Title of host publicationProceedings of Fourth International Symposium on 3D Data Processing, Visualization and Transmission
    EditorsStephan Gumhold, Jana Kosecka, Oliver Staadt
    Place of PublicationAtlanta, Georgia, U.S.A.
    PublisherGeorgia Institute of Technology
    Pages19-26
    Volume1
    EditionAtlanta, Georgia, USA
    Publication statusPublished - Jun 2008
    EventExpression-invariant Non-rigid 3D Face Recognition: A Robust Approach to Expression-aware Morphing - Atlanta, Georgia, USA
    Duration: 1 Jan 2008 → …

    Conference

    ConferenceExpression-invariant Non-rigid 3D Face Recognition: A Robust Approach to Expression-aware Morphing
    Period1/01/08 → …

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