This paper proposes a disparity refinement method with stability-based tree. By developing stability-based tree to evaluate and reconstruct support regions for error parts, the proposed method achieves effective performance in removing outliers. This approach further improves the quality of raw disparity map in stereo matching, which makes the local methods results comparable to the global ones. Experiments exhibit that the proposed method reduces more than 70% aggregation time compared with traditional tree method without loss of accuracy. It also outperforms existing disparity refinement methods in removing large error parts.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Disparity refinement with stability-based tree for stereo matching


    Beteiligte:
    Ji, Yuhang (Autor:in) / Zhang, Qieshi (Autor:in) / Sugimoto, Kenjiro (Autor:in) / Kamata, Sei-ichiro (Autor:in)


    Erscheinungsdatum :

    01.06.2015


    Format / Umfang :

    1162541 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Dense stereo matching in restricted disparity space

    Hattori, H. / Takeda, N. | IEEE | 2005


    Dense Stereo Matching in Restricted Disparity Space

    Hattori, H. / Takeda, N. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2005



    Intensity and Feature Based Stereo Matching by Disparity Parameterization

    Wei, G.-Q. / Hirzinger, G. / IEEE; Computer Society | British Library Conference Proceedings | 1998


    Unsupervised Occlusion-Aware Stereo Matching With Directed Disparity Smoothing

    Li, Ang / Yuan, Zejian / Ling, Yonggen et al. | IEEE | 2022