Geometric invariants from multiple views provide useful information for 3D object recognition. However, conventional object recognition methods using invariants based on point features cannot achieve efficient recognition because of large amount of combinations of point features in invariant calculation. To avoid this problem, the authors propose to use more complex features. They adopt arrow junctions and conics as complex features because man-made objects have often trihedral polyhedra (eg. parallelepiped) and circles and they make arrow junctions and conics in images, respectively. The multiple view affine invariance theory can be directly used for arrow junctions. For conics, they propose two types of invariants. They have developed an object recognition method exploiting these invariants. In addition to the recognition method with two input images, they propose a recognition method that needs only a single input image by substituting an image of a target object stored in the model library. Experimental results using 240 pair of images for 24 objects confirm the usefulness of the methods.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Object recognition using multiple view invariance based on complex features


    Contributors:
    Kuno, Y. (author) / Takae, O. (author) / Takahashi, T. (author) / Shirai, Y. (author)


    Publication date :

    1996-01-01


    Size :

    895469 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Object Recognition Using Multiple View Invariance Based on Complex Features

    Kuno, Y. / Takae, O. / Takahashi, T. et al. | British Library Conference Proceedings | 1996


    View-invariance in action recognition

    Rao, C. / Shah, M. | IEEE | 2001


    View-Invariance in Action Recognition

    Rao, C. / Shah, M. / IEEE | British Library Conference Proceedings | 2001


    View Invariance for Human Action Recognition

    Parameswaran, V. / Chellappa, R. | British Library Online Contents | 2006