Three-dimensional (3-D) models of outdoor scenes are widely used for object recognition, navigation, mixed reality, and so on. Because such models are often made manually with high costs, automatic and dense 3-D reconstruction is widely investigated. In related work, a dense 3-D model is generated by using a stereo method. However these methods cannot use several hundreds images together for dense depth estimation because it is difficult to accurately calibrate a large number of cameras. In this paper we propose a dense 3-D reconstruction method that first estimates extrinsic camera parameters of a hand-held video camera, and then reconstructs a dense 3-D model of a scene. We can acquire a model of the scene accurately by using several hundreds input images.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dense 3-D reconstruction of an outdoor scene, by hundreds-baseline stereo using a hand-held video camera


    Contributors:
    Sato, T. (author) / Kanbara, M. (author) / Yokoya, N. (author) / Takemura, I. (author)


    Publication date :

    2001-01-01


    Size :

    10359815 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-Baseline Stereo Using a Hand-Held Video Camera

    Sato, T. / Kanbara, M. / Yokoya, N. et al. | British Library Online Contents | 2002


    Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-Baseline Stereo Using a Hand-Held Video Camera

    Sato, T. / Kanbara, M. / Yokoya, N. et al. | British Library Conference Proceedings | 2001


    Dense 3D Reconstruction of Outdoor Scenes Using a Rotational Stereo Camera

    Yoshida, T. / Fukao, T. | British Library Online Contents | 2013


    Beyond the Baseline: 3D Reconstruction of Tiny Objects with Single Camera Stereo Robot

    De Gregorio D. / Poggi M. / Zama Ramirez P. et al. | BASE | 2021

    Free access

    Realistic surface geometry reconstruction using a hand-held RGB-D camera

    Lee, K. R. | British Library Online Contents | 2016