Traditional Fourier Descriptor suffers the drawback of being sensitive to translation, rotation and scale transform. This paper presents a new method of shape representation, Polygon Fourier Descriptor (PFD), which can achieve the invariance on translation, rotation and scale transform naturally and without need of a process of normalization. By applying polygonal approximation to the contour firstly, the contour can be represented more efficiently. Moreover, PFD is robust enough to represent the contour even if some transformations happened to it. Finally, we apply PFD to the recognition of static gestures and obtain satisfying results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A New Invariant Descriptor For Shape Representation And Recognition


    Contributors:


    Publication date :

    2007-04-01


    Size :

    316913 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Invariant multi-scale descriptor for shape representation, matching and retrieval

    Yang, Jianyu / Wang, Hongxing / Yuan, Junsong et al. | British Library Online Contents | 2016


    Invariant multi-scale descriptor for shape representation, matching and retrieval

    Yang, Jianyu / Wang, Hongxing / Yuan, Junsong et al. | British Library Online Contents | 2016


    Pose-invariant descriptor for facial emotion recognition

    Shojaeilangari, S. / Yau, W. Y. / Teoh, E. K. | British Library Online Contents | 2016


    Shape representation and recognition based on invariant unary and binary relations

    Shao, Z. / Kittler, J. | British Library Online Contents | 1999


    Kinematic Spline Curves: A temporal invariant descriptor for fast action recognition

    Ghorbel, Enjie / Boutteau, Rémi / Boonaert, Jacques et al. | British Library Online Contents | 2018