This paper presents a new approach for the classification and retrieval of three-dimensional images and models from databases. A set of retrieval algorithms is introduced. These algorithms are content-based, meaning that the input is not made out of keywords but of three-dimensional models. Tensors of inertia, distribution of normal vectors, distribution of cords and multiresolution analysis are used to describe each model. Scale, shape or color or any combination of these parameters can search the database. A user friendly interface makes the retrieval operation simple and intuitive and make it possible to edit reference models according to the specifications of the user. Experimental results using a database of more than 1000 VRML models are presented.


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    Title :

    Nefertiti: A Tool for 3-D Shape Databases Management


    Additional title:

    Sae Technical Papers


    Contributors:
    Paquet, Eric (author) / Rioux, Marc (author)

    Conference:

    Digital Human Modeling For Design And Engineering Conference And Exposition ; 1999



    Publication date :

    1999-05-18




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English






    Nefertiti: a tool for 3-D shape databases management

    Paquet,E. / Rioux,M. / National Research Council of Canada,CA | Automotive engineering | 1999


    Nefertiti: A Tool for 3-D Shape Databases Management

    Paquet, E. / Rioux, M. / Society of Automotive Engineers | British Library Conference Proceedings | 1999


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