In this research, we introduce a reasonable noise model for range data which is obtained by a laser radar range finder, and derive two simple approximate solutions of optimal local plane fitting the range data under the noise model. We compare our methods with general least-squares based methods, such as Z-function fitting, the eigenvalue method, the maximum likelihood estimation method, and the renormalization method, an iterative method to obtain the optimal fitting of planes of range data under the noise model. All the methods are compared and evaluated using both synthetic range data and real range data with ground truth. From the experimental evaluation results, the proposed methods are shown to be effective, and the general least-squares-based methods are shown to be unsuitable for the assumed noise model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Comparison of local plane fitting methods for range data


    Beteiligte:
    Caihua Wang, (Autor:in) / Tanahashi, H. (Autor:in) / Hirayu, H. (Autor:in) / Niwa, Y. (Autor:in) / Yamamoto, K. (Autor:in)


    Erscheinungsdatum :

    2001-01-01


    Format / Umfang :

    798605 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Comparison of Local Plane Fitting Methods for Range Data

    Wang, C. / Tanahashi, H. / Hirayu, H. et al. | British Library Conference Proceedings | 2001



    Fitting Globally Stabilized Algebraic Surfaces to Range Data

    Sahin, T. / Unel, M. / IEEE | British Library Conference Proceedings | 2005


    Zero-Leak Fitting Range Expanded

    Online Contents | 1998


    Three-dimensional range data interpolation using B-spline surface fitting

    Li, S. / Zhao, D. | British Library Online Contents | 2001