The robustness of shape recovery based on deformable models depends in general, on the relative difference of position and topology of the initial model with respect to the data: a close initialization with correct topology guarantees a proper recovery of the object. Furthermore, the closeness of the initial model greatly influences the time of computation needed for the recovery. In this paper, we propose a method for initializing deformable models from range data or volumetric images. The proposed method solves two distinct problems. First, we use the topological segmentation of volumetric images in order to recover the approximate topology of the object. Second, we use an efficient mesh sampling algorithm to control the number of vertices of the initial model. The method takes into account missing data and outliers.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Initialization of deformable models from 3D data


    Beteiligte:
    Delingette, H. (Autor:in)


    Erscheinungsdatum :

    01.01.1998


    Format / Umfang :

    764771 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Initialization of Deformable Models from 3D Data

    Delingette, H. / IEEE; Computer Society | British Library Conference Proceedings | 1998


    Velcro Surfaces: Fast Initialization of Deformable Models

    Neuenschwander, W. / Fua, P. / Szekely, G. et al. | British Library Online Contents | 1997


    Efficient Deformable Template Detection and Localization without User Initialization

    Coughlan, J. / Yuille, A. / English, C. et al. | British Library Online Contents | 2000


    Constrained Recovery of Deformable Models from Range Data

    Dickinson, S. J. / Metaxas, D. / Pentland, A. et al. | British Library Conference Proceedings | 1994