We address the recovery of segmented, 3-D descriptions of an object from intensity images. We use three views of an object from slightly different viewpoints as our input. For each image we extract a hierarchy of groups based on proximity, parallelism and symmetry in a robust manner. The groups in the three images are matched by computing the epipolar geometry. For each set of matched groups from the three images, we then label the contours of the groups as "true" or "limb" edges. Using the information about groups, the label associated with their contours and projective properties of subclasses of Generalized Cylinders, we infer the 3-D structure of these groups. The proposed method not only allows robust shape recovery but also produces segmented parts. Our approach can also deal with groups generated as a result of texture or shadows on the object. We present results on real images of moderately complex objects.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Segmented shape descriptions from 3-view stereo


    Contributors:
    Havaldar, P. (author) / Medioni, G. (author)


    Publication date :

    1995-01-01


    Size :

    839485 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Segmented Shape Descriptions from 3-View Stereo

    Havaldar, P. / Medioni, G. / IEEE Computer Society et al. | British Library Conference Proceedings | 1995


    Shape and Motion under Varying Illumination: Unifying Structure from Motion, Photometric Stereo, and Multi-view Stereo

    Zhang, L. / Curless, B. / Hertzmann, A. et al. | British Library Conference Proceedings | 2003


    Tales of Shape and Radiance in Multi-view Stereo

    Soatto, S. / Yezzi, A. / Jin, H. et al. | British Library Conference Proceedings | 2003


    Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance

    Jin, H. / Soatto, S. / Yezzi, A. J. | British Library Online Contents | 2005


    REAR-VIEW STEREO CAMERA SYSTEM

    LEPPIN HEIKO / HEINRICH STEFAN | European Patent Office | 2025

    Free access