An efficient algorithm for facial features extractions is proposed. The facial features we extracted are the edges of two eyes, nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector to detect the face region and facial features regions. The experimental results show that the proposed method is robust against facial expression, illumination, and can be also effect if the person wearing glassed, and so on.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Novel Facial Features Extraction Algorithm Using Gabor Wavelets


    Beteiligte:
    Jiang, Wei (Autor:in) / Zhang, Jian (Autor:in) / Shen, Ting-zhi (Autor:in) / Wang, Xiao-hua (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    449576 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Stereo vision using Gabor wavelets

    Tieh-Yuh Chen / Klarquist, W.N. / Bovik, A.C. | IEEE | 1994


    Stereo Vision using Gabor Wavelets

    Chen, T.-Y. / Klarquist, W. N. / Bovik, A. C. et al. | British Library Conference Proceedings | 1994



    Spatio-Temporal Modeling of Facial Expressions using Gabor-Wavelets and Hierarchical Hidden Markov Models

    Ma, L. / Chelberg, D. / Celenk, M. | British Library Conference Proceedings | 2005


    Image Description Using Gabor Wavelets [3573-135]

    Cojoc, D. / Grattoni, P. / Nerino, R. et al. | British Library Conference Proceedings | 1998