3D face reconstruction from a single non-frontal face image

Naoki Nozawa, Daiki Kuwahara, Shigeo Morishima

    研究成果: Conference contribution

    抜粋

    A reconstruction of a human face shape from a single image is an important theme for criminal investigation such as recognition of suspected people from surveillance cameras with only a few frames. It is, however, still difficult to recover a face shape from a non-frontal face image. Method using shading cues on a face depends on the lighting circumstance and cannot be adapted to images in which shadows occurs, for example [Kemelmacher et al. 2011]. On the other hand, [Blanz et al. 2004] reconstructed a shape by 3D Morphable Model (3DMM) only with facial feature points. This method, however, requires the pose-wise correspondences of vertices in the model to feature points of input image because a face contour cannot be seen when the facial direction is not the front. In this paper, we propose a method which can reconstruct a facial shape from a non-frontal face image only with a single general correspondence table. Our method searches for the correspondences of points on a facial contour in the iterative reconstruction process, and makes the reconstruction simple and stable.

    元の言語English
    ホスト出版物のタイトルACM SIGGRAPH 2015 Posters, SIGGRAPH 2015
    出版者Association for Computing Machinery, Inc
    ISBN(印刷物)9781450336321
    DOI
    出版物ステータスPublished - 2015 7 31
    イベントInternational Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015 - Los Angeles, United States
    継続期間: 2015 8 92015 8 13

    Other

    OtherInternational Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015
    United States
    Los Angeles
    期間15/8/915/8/13

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Vision and Pattern Recognition
    • Human-Computer Interaction

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  • これを引用

    Nozawa, N., Kuwahara, D., & Morishima, S. (2015). 3D face reconstruction from a single non-frontal face image. : ACM SIGGRAPH 2015 Posters, SIGGRAPH 2015 [a57] Association for Computing Machinery, Inc. https://doi.org/10.1145/2787626.2792634