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  • Facial Expression Recognition from Line-based Caricatures

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    Author
    Gao, Yongsheng
    K. H. Leung, Maylor
    Hui, Siu Cheung
    W. Tananda, Mario
    Year published
    2003
    Metadata
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    Abstract
    The automatic recognition of facial expression presents a significant challenge to the pattern analysis and man-machine interaction research community. Recognition from a single static image is particularly a difficult task. In this paper, we present a methodology for facial expression recognition from a single static image using line-based caricatures. The recognition process is completely automatic. It also addresses the computational expensive problem and is thus suitable for real-time applications. The proposed approach uses structural and geometrical features of a user sketched expression model to match the line edge map (LEM) descriptor of an input face image. A disparity measure that is robust to expression variations is defined. The effectiveness of the proposed technique has been evaluated and promising results are obtained. This work has proven the proposed idea that facial expressions can be characterized and recognized by caricatures.
    Journal Title
    IEEE Transactions on Systems, Man and Cybernetics - Part A
    Volume
    33
    Issue
    3
    DOI
    https://doi.org/10.1109/TSMCA.2003.817057
    Copyright Statement
    © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Publication URI
    http://hdl.handle.net/10072/5921
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    • Journal articles

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