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    MVA
    1996
    83views Computer Vision» more  MVA 1996»
    Inductive Learning of Primitive Shape Features of Closed Contours
    13 years 11 months ago
    Inductive Learning of Primitive Shape Features of Closed Contours
    Download  b2.cvl.iis.u-tokyo.ac.jp
    A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
    Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
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    MVA
    1996
    109views Computer Vision» more  MVA 1996»
    Very High Speed Multi Resolution Sheet-of-light Range Imaging
    13 years 11 months ago
    Very High Speed Multi Resolution Sheet-of-light Range Imaging
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Sheet-of-light range measurement is a commonly used method in todays industrial applications. This paper describesa new way of using an existingimage sensorand turns it into a fas...
    Anders Åström, Erik Åstrand
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    MVA
    1994
    111views Computer Vision» more  MVA 1994»
    Image Separation between Natural and Artificial Objects Using Fractal Dimension
    13 years 11 months ago
    Image Separation between Natural and Artificial Objects Using Fractal Dimension
    Download  b2.cvl.iis.u-tokyo.ac.jp
    This paper describes the preliminary work of image separation between natural and artificial objects using fractal dimensions by noting that most of natural images have non-intege...
    Shuichi Fukuda
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    MVA
    1994
    110views Computer Vision» more  MVA 1994»
    Recognition of Cartographic Symbols
    13 years 11 months ago
    Recognition of Cartographic Symbols
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    A hybrid (statistical/structural)approach is presented, for scale- and orientation-invariant recognition of multi-component cartographic symbols. A decision-tree classifier (DTC) ...
    Sushil Bhattacharjee, Gladys Monagan
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    MVA
    1990
    130views Computer Vision» more  MVA 1990»
    An Adaptive Algorithm for Edge Detection with Subpixel Accuracy in Noisy Images
    13 years 11 months ago
    An Adaptive Algorithm for Edge Detection with Subpixel Accuracy in Noisy Images
    Download  b2.cvl.iis.u-tokyo.ac.jp
    There is a tradeoff between noise insensitivity and accurate position in edge detection. This paper suggests an adaptivealgorithm which takes advantage of both LOG and NonLL filte...
    Jesse S. Jin
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