Reconstruction of partially damaged face images based on a morphable face model

Bon Woo Hwang, Seong Whan Lee

    Research output: Contribution to journalArticlepeer-review

    99 Citations (Scopus)

    Abstract

    This paper proposes a method for reconstructing partially damaged faces based on a morphable face model. Faces are modeled by linear combinations of prototypes of shape and texture. With the shape and texture information from an undamaged region only, we can estimate optimal coefficients for linear combinations of prototypes of shape and texture by simple projection for least-square minimization (LSM). Our experimental results show that reconstructed faces are very natural and plausible like real photos.

    Original languageEnglish
    Pages (from-to)365-372
    Number of pages8
    JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
    Volume25
    Issue number3
    DOIs
    Publication statusPublished - 2003 Mar

    Bibliographical note

    Funding Information:
    This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea. The authors would like to thank Dr. Volker Blanz and Dr. Thomas Vetter for helpful discussions and advice. In addition, they thank the Max-Planck-Institute for providing the MPI Face Database.

    Keywords

    • Damaged face
    • Face reconstruction
    • Face synthesis
    • Least-square minimization
    • Morphable face model

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Computational Theory and Mathematics
    • Artificial Intelligence
    • Applied Mathematics

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