This article presents a complete hybrid object recognition system for three-dimensional objects using characteristic views (ChVs). High-quality 2-D reconstructions have to be generated from intensity or color data, respectively, to integrate the ChV representation method into a recognition system. First, we present an approach for obtaining edges and gradient information from color images. Second, we present an adaptive edge linking process that transforms the image data into a suitable form. The edge linker uses an energy function to combine data from the edge detector and color gradient information to improve the results of the edge detector for the 2-D reconstruction. Results are presented for real color images.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Object recognition: obtaining 2-D reconstructions from color edges


    Contributors:
    Bellaire, G. (author) / Talmi, K. (author) / Oezguer, E. (author) / Koschan, A. (author)


    Publication date :

    1998-01-01


    Size :

    585463 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Object Recognition: Obtaining 2-D Reconstructions from Color Edges

    Bellaire, G. / Koschan, A. / Talmi, K. et al. | British Library Conference Proceedings | 1998


    Reflectance-Based Classification of Color Edges

    Gevers, T. / IEEE | British Library Conference Proceedings | 2003


    Obtaining color television pictures from space.

    Allen, L. H. / Heckel, D. T. / Quandt, R. L. | NTRS | 1968



    Image Generation from Scene Graph with Object Edges

    Li, Chenxing / Duan, Yiping / Du, Qiyuan et al. | IEEE | 2022