The authors analyze how parameters of indexing based recognition systems affects their performance. The main result is that increasing the dimensionality of the indices leads to significantly improved discrimination, false positive suppression and reduced recognition times. With increase in index dimensionality, coarser quantization is required to allow index match in the presence of noise. The authors' analysis also allows estimation of votes thresholds for recognition and estimation of the amount of occlusion that can be tolerated by indexing schemes for given levels of recognition confidence.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Systematic design of indexing strategies for object recognition


    Contributors:
    Califano, A. (author) / Mohan, R. (author)


    Publication date :

    1993-01-01


    Size :

    165543 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Model-Based 3D Object Recognition Using Bayesian Indexing

    June Ho Yi / Chelberg, D. M. | British Library Online Contents | 1998


    3D Object Recognition and Pose with Relational Indexing

    Costa, M. S. / Shapiro, L. G. | British Library Online Contents | 2000


    Spectral gradients for color-based object recognition and indexing

    Berwick, D. / Lee, S. W. | British Library Online Contents | 2004



    3D Object Recognition Using Invariant Feature Indexing of Interpretation Tables

    Flynn, P. J. / Jain, A. K. | British Library Online Contents | 1992