Fast face detection by lifting dyadic wavelet filters

Shigeru Takano, Koichi Niijima, Turghunjan Abdukirim

    Research output: Contribution to conferencePaperpeer-review

    9 Citations (Scopus)

    Abstract

    This paper presents a fast algorithm for detecting facial parts such as nose, eyes and lips in an image by using lifting dyadic wavelet filters. Free parameters in the lifting filters are learned so as to maximize the cosine of an angle between a vector whose components are the lifting filters and a vector of pixels in the facial part. Applying the learned filter to a test image, facial parts in the image can be detected. In simulation, we show that our algorithm is fast and robust one for detecting facial parts from an image.

    Original languageEnglish
    Pages893-896
    Number of pages4
    Publication statusPublished - 2003
    EventProceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain
    Duration: Sep 14 2003Sep 17 2003

    Other

    OtherProceedings: 2003 International Conference on Image Processing, ICIP-2003
    CountrySpain
    CityBarcelona
    Period9/14/039/17/03

    All Science Journal Classification (ASJC) codes

    • Hardware and Architecture
    • Computer Vision and Pattern Recognition
    • Electrical and Electronic Engineering

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