This paper presents geometric invariants of points and their applications under central catadioptric camera model. Although the image has severe distortions under the model, we establish some accurate projective geometric invariants of scene points and their image points. These invariants, being functions of principal point, are useful, from which a method for calibrating the camera principal point and a method for recovering planar scene structures are proposed. The main advantage of using these in variants for plane reconstruction is that neither camera motion nor the intrinsic parameters, except for the principal point, is needed. The theoretical correctness of the established invariants and robustness of the proposed methods are demonstrated by experiments. In addition, our results are found to be applicable to some more general camera models other than the catadioptric one.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Geometric invariants and applications under catadioptric camera model


    Contributors:
    Yihong Wu, (author) / Zhanyi Hu, (author)


    Publication date :

    2005-01-01


    Size :

    192556 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Geometric Invariants and Applications under Catadioptric Camera Model

    Wu, Y. / Hu, Z. / IEEE | British Library Conference Proceedings | 2005


    Catadioptric camera calibration using geometric invariants

    Xianghua Ying, / Zhanyi Hu, | IEEE | 2003


    Catadioptric Camera Calibration Using Geometric Invariants

    Ying, X. / Hu, Z. / IEEE | British Library Conference Proceedings | 2003


    Geometric distributions for catadioptric sensor design

    Hicks, R.A. / Perline, R.K. | IEEE | 2001


    Geometric Distributions for Catadioptric Sensor Design

    Hicks, R. A. / Perline, R. K. / IEEE | British Library Conference Proceedings | 2001