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    ACIVS
    2008
    Springer
    168views Computer Vision» more  ACIVS 2008»
    Face Recognition Using Parabola Edge Map
    16 years 5 days ago
    Face Recognition Using Parabola Edge Map
    Download  inwe.hogent.be
    Several applications such as access control, behaviour observation and videoconferencing require a real-time method for face recognition. We propose to represent faces with parabol...
    Francis Deboeverie, Peter Veelaert, Kristof Teelen...
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    MVA
    2007
    133views Computer Vision» more  MVA 2007»
    Selection of Object Recognition Methods According to the Task and Object Category
    15 years 7 months ago
    Selection of Object Recognition Methods According to the Task and Object Category
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Service robots need object recognition strategy that can work on various objects in complex backgrounds. Since no single method can work in every situation, we need to combine sev...
    Al Mansur, Yoshinori Kuno
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    130
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    ICIP
    2002
    IEEE
    123views Image Processing» more  ICIP 2002»
    Face recognition using feature extraction based on independent component analysis
    16 years 7 months ago
    Face recognition using feature extraction based on independent component analysis
    Download  madang.ajou.ac.kr
    Nojun Kwak, Chong-Ho Choi, Narendra Ahuja
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    134
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    FGR
    2002
    IEEE
    150views Biometrics» more  FGR 2002»
    Face Recognition Using Kernel Based Fisher Discriminant Analysis
    15 years 10 months ago
    Face Recognition Using Kernel Based Fisher Discriminant Analysis
    Download  paul.rutgers.edu
    Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma
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    192
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    MVA
    2007
    191views Computer Vision» more  MVA 2007»
    Face recognition using localized features based on non-negative sparse coding
    15 years 5 months ago
    Face recognition using localized features based on non-negative sparse coding
    Download  www.cim.mcgill.ca
    Neural networks in the visual system may be performing sparse coding of learnt local features that are qualitatively
    Bhavin J. Shastri, Martin D. Levine
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