BIROn - Birkbeck Institutional Research Online

    Facial expression transfer method based on frequency analysis

    Wei, W. and Tian, C. and Maybank, Stephen J. and Zhang, Y. (2016) Facial expression transfer method based on frequency analysis. Pattern Recognition 49 , pp. 115-128. ISSN 0031-3203.

    [img]
    Preview
    Text
    12890.pdf - Author's Accepted Manuscript

    Download (2MB) | Preview

    Abstract

    We propose a novel expression transfer method based on an analysis of the frequency of multi-expression facial images. We locate the facial features automatically and describe the shape deformations between a neutral expression and non-neutral expressions. The subtle expression changes are important visual clues to distinguish different expressions. These changes are more salient in the frequency domain than in the image domain. We extract the subtle local expression deformations for the source subject, coded in the wavelet decomposition. This information about expressions is transferred to a target subject. The resulting synthesized image preserves both the facial appearance of the target subject and the expression details of the source subject. This method is extended to dynamic expression transfer to allow a more precise interpretation of facial expressions. Experiments on Japanese Female Facial Expression (JAFFE), the extended Cohn-Kanade (CK+) and PIE facial expression databases show the superiority of our method over the state-of-the-art method.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Expression transfer, Warping technique, Facial feature location, Frequency domain analysis
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Administrator
    Date Deposited: 26 Aug 2015 15:32
    Last Modified: 19 Aug 2016 23:11
    URI: http://eprints.bbk.ac.uk/id/eprint/12890

    Statistics

    Downloads
    Activity Overview
    103Downloads
    181Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item