A Novel Analytical Approach for Lip Synchronization

    Research output: Chapter in Book/Conference paperConference paperpeer-review


    This paper presents a novel feature, Topographic High-order Derivatives (THD) for 3D face recognition. THD is based on the high-order micro-pattern information extracted from face topography maps. Face topography maps are partitioned into polar sectors, and THDs are computed using directional highorder derivatives within the sectors. Local features are extracted by encoding directional high-order derivatives within polar neighborhoods. To evaluate the proposed method, we use Bosphorus and FRGC 3D face databases which include pose and expression changes. The performance of the proposed method is higher compared to the state-of-the-art benchmark approaches in 3D face recognition.
    Original languageEnglish
    Title of host publicationProceedings of 2010 IEEE International Conference on Image Processing
    EditorsBonnie Law
    Place of PublicationUSA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    ISBN (Print)15224880
    Publication statusPublished - 2010
    Event2010 IEEE International Conference on Image Processing - Hong Kong, Hong Kong
    Duration: 26 Sep 201029 Sep 2010
    Conference number: 17th


    Conference2010 IEEE International Conference on Image Processing
    Abbreviated titleICIP 2010
    Country/TerritoryHong Kong
    CityHong Kong


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