Symmetry is an effective geometric cue to facilitate conventional segmentation techniques on images of man-made environment. Based on three fundamental principles that summarize the relations between symmetry and perspective imaging, namely, structure from symmetry, symmetry hypothesis testing, and global symmetry testing, we develop a prototype system which is able to automatically segment symmetric objects in space from single 2D perspective images. The result of such a segmentation is a hierarchy of geometric primitives, called symmetry cells and complexes, whose 3D structure and pose are fully recovered. Such a geometrically meaningful segmentation may greatly facilitate applications such as feature matching and robot navigation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Geometric segmentation of perspective images based on symmetry groups


    Beteiligte:
    Yang, (Autor:in) / Shankar Rao, (Autor:in) / Kun Huang, (Autor:in) / Wei Hong, (Autor:in) / Yi Ma, (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    944846 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Geometric Segmentation of Perspective Images Based on Symmetry Groups

    Yang, A. / Rao, S. / Huang, K. et al. | British Library Conference Proceedings | 2003


    Symmetry-based 3-D reconstruction from perspective images

    Yang, A. Y. / Huang, K. / Rao, S. et al. | British Library Online Contents | 2005


    Segmentation of Range Images as the Search for Geometric Parametric Models

    Leonardis, A. / Gupta, A. / Bajcsy, R. | British Library Online Contents | 1995


    Skewed symmetry groups

    Yanxi Liu, / Collins, R.T. | IEEE | 2001


    Skewed Symmetry Groups

    Liu, Y. / Collins, R. T. / IEEE | British Library Conference Proceedings | 2001