Face reconstruction using a small set of feature points

Bon Woo Hwang, Volker Blanz, Thomas Vetter, Seong Whan Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of shape and texture information. With the shape and texture information at the feature points alone, we can achieve only an approximation to the deformation required. In such an under-determined condition, we find an optimal solution using a simple least square minimization method. As experimental results, we show well-reconstructed 2D faces even from a small number of feature points.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    EditorsTomaso Poggio, Seong-Whan Lee, Heinrich H. Bulthoff
    PublisherSpringer Verlag
    Pages308-315
    Number of pages8
    ISBN (Print)3540675604, 9783540675600
    DOIs
    Publication statusPublished - 2000
    Event1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 - Seoul, Korea, Republic of
    Duration: 2000 May 152000 May 17

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1811
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period00/5/1500/5/17

    Bibliographical note

    Publisher Copyright:
    © Springer-Verlag Berlin Heidelberg 2000.

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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