A real-time 3D scene reconstruction and localization system with surface optimization is proposed. The dense 3D point cloud model is created by utilizing rotation and orientation invariant feature matching along with loop-closure detection algorithm on RGB-D images in a mobile robot. The high resolution and smooth mesh model is implemented on a GPU based computer through wireless communication.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-time 3D scene reconstruction and localization with surface optimization


    Contributors:
    Liu, Ruixu (author) / Peng, Tao (author) / K.Asari, Vijayan (author) / Loomis, John S. (author)


    Publication date :

    2018-07-01


    Size :

    16890706 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-Time Depth Warping For 3-D Scene Reconstruction

    IEEE; Aerospace and Electronics Systems Society | British Library Conference Proceedings | 1999


    Real-time depth warping for 3-D scene reconstruction

    Seales, W.B. / Welch, G. / Jaynes, C.O. | IEEE | 1999


    UAV real-time path planning method for urban scene reconstruction

    ZHOU BIN / KUANG QI / WU JINBO et al. | European Patent Office | 2022

    Free access

    UAV Real-Time Path Planning Method for Urban Scene Reconstruction

    ZHOU BIN / KUANG QI / WU JINBO et al. | European Patent Office | 2021

    Free access

    Large-scale, real-time 3D scene reconstruction on a mobile device

    Dryanovski, I. | British Library Online Contents | 2017