Human face recognition technology is a popular research topic in the biometrics identification area. Face detection is the most important pre-processing module of a face recognition system, and it plays an important role in applications such as video surveillance, human computer interface. The purpose of the face detection is to search and orient faces in images in complex background. In this paper, we propose a hierarchical face detection method by using the template matching algorithm and 2DPCA algorithm. The method includes two different classifiers. The first one is called rough classifier, which filtrates the most of the non-face. The second one is a core classifier, which uses 2DPCA algorithm to detect the face based on the result from the first classifier. The results of the experiment indicates that we implement hierarchical detection to face images not only improves the accurate rate of the face detection, but also shortens detection time greatly.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Face Detection Based on Template Matching and 2DPCA Algorithm


    Contributors:


    Publication date :

    2008-05-01


    Size :

    1022323 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Template Matching Algorithm For Noise Detection in Cargo Container

    Pambudi, Doni Setio / Handayani, Ruktin / Hidayah, Lailatul | IEEE | 2018


    A 3D Adaptive Template Matching Algorithm for Brain Tumor Detection

    Wang, X.-F. / Gong, J. / Bu, R.-R. et al. | British Library Conference Proceedings | 2014


    A 3D Adaptive Template Matching Algorithm for Brain Tumor Detection

    Wang, Xiao-Fei / Gong, Jing / Bu, Rui-Rui et al. | Springer Verlag | 2014