A novel depth computation algorithm is described. Based on linear equations derived from the consideration of relative normal velocity, this algorithm determines depth values locally and uniquely from normal velocities. Multiple independently moving objects present no problem for the algorithm. A velocity constraint is implemented to estimate normal velocities from intensity images. Experiments to determine depth values from both synthetic images and real images are presented. The experiments show that the depth-recovery algorithm can recover correct values from intensity images. The accuracy of the depth values depends heavily on the accuracy of the normal velocities.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Depth from dynamic stereo images


    Beteiligte:
    Fan Jiang (Autor:in) / Weymouth, T.E. (Autor:in)


    Erscheinungsdatum :

    01.01.1989


    Format / Umfang :

    497526 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Depth map estimation with stereo images

    Europäisches Patentamt | 2017

    Freier Zugriff

    Recurrent MuSti-view Stereo Depth Inference with Pyramid of Images

    Wang, Xiaobao / Dong, Enzeng / Tong, Jigang et al. | British Library Conference Proceedings | 2022


    Unsupervised Deep Learning of Depth, Ego-Motion, and Optical Flow from Stereo Images

    Yang, Delong / Luo, Zhaohui / Shang, Peng et al. | IEEE | 2021


    Robust occupancy detection from stereo images

    Alefs, B. / Clabian, M. / Bischof, H. et al. | IEEE | 2004


    Binocular Stereo from Grey-Scale Images

    Nielsen, M. / Maas, R. / Niessen, W. J. et al. | British Library Online Contents | 1999