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    ICVGIP
    2004
    268views Computer Vision» more  ICVGIP 2004»
    Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
    13 years 10 months ago
    Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
    Download  www.cse.iitb.ac.in
    In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
    José Ruiz-Pinales, René Jaime-Rivas
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    ICVGIP
    2004
    166views Computer Vision» more  ICVGIP 2004»
    Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition
    13 years 10 months ago
    Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition
    Download  www.umiacs.umd.edu
    This paper presents an approach for a multi-cue, viewbased recognition of gestures. We describe an exemplarbased technique that combines two different forms of exemplars - shape e...
    Vinay D. Shet, V. Shiv Naga Prasad, Ahmed M. Elgam...
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    ICVGIP
    2004
    158views Computer Vision» more  ICVGIP 2004»
    High-Resolution Multiscale Panoramic Mosaics from Pan-Tilt-Zoom Cameras
    13 years 10 months ago
    High-Resolution Multiscale Panoramic Mosaics from Pan-Tilt-Zoom Cameras
    Download  www.cs.unc.edu
    We present an automatic software based approach for building extremely high resolution panoramic mosaics from images captured by an off-the-shelf pan tilt zoom camera. Using numer...
    Sudipta N. Sinha, Marc Pollefeys, Seon Joo Kim
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    ICVGIP
    2008
    150views Computer Vision» more  ICVGIP 2008»
    Real-Time Painterly Rendering of Terrains
    13 years 10 months ago
    Real-Time Painterly Rendering of Terrains
    Download  cvit.iiit.ac.in
    We present a non-photo realistic, real-time painterly rendering technique for terrains. The painterly appearance and the impression of terrains is created by effectively rendering...
    Shiben Bhattacharjee, P. J. Narayanan
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    ICVGIP
    2008
    191views Computer Vision» more  ICVGIP 2008»
    Object Category Recognition with Projected Texture
    13 years 10 months ago
    Object Category Recognition with Projected Texture
    Download  cvit.iiit.ac.in
    Recognition of object categories from their images is extremely challenging due to the large intra-class variations, and variations in pose, illumination and scale, in addition to...
    Avinash Sharma, Anoop M. Namboodiri
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