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    MVA
    2008
    201views Computer Vision» more  MVA 2008»
    How close are we to solving the problem of automated visual surveillance?
    13 years 7 months ago
    How close are we to solving the problem of automated visual surveillance?
    Download  www.comp.leeds.ac.uk
    The problem of automated visual surveillance has spawned a lively research area, with 2005 seeing three conferences or workshops and special issues of two major journals devoted to...
    Hannah M. Dee, Sergio A. Velastin
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    MVA
    2008
    196views Computer Vision» more  MVA 2008»
    Evaluation of an appearance-based 3D face tracker using dense 3D data
    13 years 7 months ago
    Evaluation of an appearance-based 3D face tracker using dense 3D data
    Download  www.cvc.uab.es
    The ability to detect and track human heads and faces in video sequences can be considered as the finest level of any video surveillance system. In this paper, we introduce a gener...
    Fadi Dornaika, Angel Domingo Sappa
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    SIAMSC
    2008
    127views more  SIAMSC 2008»
    On Diagonally Relaxed Orthogonal Projection Methods
    13 years 7 months ago
    On Diagonally Relaxed Orthogonal Projection Methods
    Download  math.haifa.ac.il
    Abstract. We propose and study a block-iterative projections method for solving linear equations and/or inequalities. The method allows diagonal component-wise relaxation in conjun...
    Yair Censor, Tommy Elfving, Gabor T. Herman, Toura...
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    IJCV
    2007
    120views more  IJCV 2007»
    Projective Visual Hulls
    13 years 7 months ago
    Projective Visual Hulls
    Download  www.cs.washington.edu
    This article presents a novel method for computing the visual hull of a solid bounded by a smooth surface and observed by a finite set of cameras. The visual hull is the intersect...
    Svetlana Lazebnik, Yasutaka Furukawa, Jean Ponce
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    IJON
    2007
    166views more  IJON 2007»
    Kernel PCA for similarity invariant shape recognition
    13 years 7 months ago
    Kernel PCA for similarity invariant shape recognition
    Download  mi.eng.cam.ac.uk
    We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
    Hichem Sahbi
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