We propose some methods to automatically estimate the position of orbitale and tragion from raw 3D scanner data. The 3D scanner captures point cloud and mesh data representing the body surface. To utilize the data, we also need underlying anatomical landmarks. The tragion position is estimated using three methods, by detecting the saddle shaped area, by setting an average position relative to ear robe, and by 3D template matching. Orbitale position is estimated by regression analysis using the position of eyes and subnasale as independent variables. The methods are tested and the results are compared using 20 Japanese head form data.


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    Titel :

    Automatic Landmarking in 3D Human Head Scans


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Yahara, Hiroki (Autor:in) / Kouchi, Makiko (Autor:in) / Mochimaru, Masaaki (Autor:in) / Kohno, Yuka (Autor:in) / Fukui, Yukio (Autor:in)

    Kongress:

    2005 Digital Human Modeling for Design and Engineering Symposium ; 2005



    Erscheinungsdatum :

    14.06.2005




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Automatic Landmarking in 3D Human Head Scans

    kohno, Y. / Yahara, H. / Fukui, Y. et al. | British Library Conference Proceedings | 2005


    Automatic Landmarking based on 3-D Foot Database using the FFD Method

    Mochimaru, M. / Kouchi, M. / Yahara, H. et al. | British Library Conference Proceedings | 2004


    Automatic landmarking based on 3-D foot database using the FFD method

    Mochimaru,M. / Kouchi,M. / Yahara,H.,,Fukui,Y. et al. | Kraftfahrwesen | 2004


    Automatic Landmarking based on 3-D Foot Database using the FFD Method

    Yahara, Hiroki / Kouchi, Makiko / Mochimaru, Masaaki et al. | SAE Technical Papers | 2004


    Landmarking and feature localization in spine x-rays

    Long, L. R. / Thoma, G. R. | British Library Online Contents | 2001