A geometrical learning system is described which constructs automatically the geometric model of indoor environments from multiple stereo views. The produced model includes not only 3-D segments initially provided by a stereo vision system, but also 3-D feature groups. Feature grouping helps to predict the position of a given view with respect to the current model and allows one to correct noisy features by the geometric constraints of feature groups. This 3-D feature grouping is based on a monocular process working on the 2-D segments associated with one source image of a stereo view. Experimental results are presented.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Geometrical learning from multiple stereo views through monocular based feature grouping


    Contributors:
    Thirion, E. (author) / Quan, L. (author)


    Publication date :

    1990-01-01


    Size :

    284951 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Hierarchical Feature Grouping for Stereo Matching

    Hamrouni, Z. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1996




    Reconstructing Complex Surfaces from Multiple Stereo Views

    Fua, P. / IEEE Computer Society / Technical Committee on Pattern Analysis and Machine Intelligence | British Library Conference Proceedings | 1995


    From Multiple Stereo Views to Multiple 3-D Surfaces

    Fua, P. | British Library Online Contents | 1997