In this paper, we describe a framework for similarity based retrieval and clustering from a 3D human database. Our technique is based on both body and head shape representation and the retrieval is based on similarity of both of them. The 3D human database used in our study is the CAESAR anthropometric database which contains approximately 5000 bodies. We have developed a web-based interface for specifying the queries to interact with the retrieval system. Our approach performs the similarity based retrieval in a reasonable amount of time and is a practical approach.


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    Titel :

    Retrieval and Clustering from a 3D Human Database based on Body and Head Shape


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Godil, Afzal (Autor:in) / Ressler, Sandy (Autor:in)

    Kongress:

    2006 Digital Human Modeling for Design and Engineering Conference ; 2006



    Erscheinungsdatum :

    2006-07-04




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Retrieval and clustering from a 3D human database based on body and head shape

    Godil,A. / Ressler,S. / National Inst.of Standard and Technology,US | Kraftfahrwesen | 2006



    Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database

    Shyu, C.-R. / Pavlopoulou, C. / Kak, A. C. et al. | British Library Online Contents | 2002


    Shape Retrieval of Non-rigid 3D Human Models

    Pickup, D. / Sun, X. / Rosin, P. L. et al. | British Library Online Contents | 2016


    Database tomography for information retrieval

    Kostoff, R.N. / Eberhart, H.J. / Toothman, D.R. | Tema Archiv | 1997