We propose a robust face alignment algorithm with a novel discriminative local texture model. Different from the conventional descriptive PCA local texture model in ASM, classifiers using LUT-type Haar-like features are trained from a large data set as local texture model. The strong discriminative power of the classifier greatly improves the accuracy and robustness of local searching on faces with expression variation and ambiguous contours. A Bayesian framework is configured for shape parameter optimization and the algorithm is implemented in a hierarchical structure for efficiency. Extensive experiments are reported to show its accuracy and robustness.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust face alignment based on local texture classifiers


    Beteiligte:
    Li Zhang, (Autor:in) / Haizhou Ai, (Autor:in) / Shengjun Xin, (Autor:in) / Chang Huang, (Autor:in) / Shuichiro Tsukiji, (Autor:in) / Shihong Lao, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    453521 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust Face Alignment Based on Local Texture Classifiers

    Zhang, L. / Al, H. / Xin, S. et al. | British Library Conference Proceedings | 2005


    Face alignment using texture-constrained active shape models

    Yan, S. / Liu, C. / Li, S. Z. et al. | British Library Online Contents | 2003


    Robust face hallucination using ensemble of feature-based regression functions and classifiers

    Tu, C. T. / Luo, J. R. | British Library Online Contents | 2015


    Exemplar-based Cascaded Stacked Auto-Encoder Networks for robust face alignment

    Zhang, Junfeng / Hu, Haifeng | British Library Online Contents | 2018


    A Probabilistic Model for Robust Face Alignment in Videos

    Zhang, W. / Zhou, Y. / Tang, X. et al. | British Library Conference Proceedings | 2005