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    DICTA
    2009
    424views Applied Computing» more  DICTA 2009»
    Improved Single Image Dehazing Using Geometry
    13 years 6 months ago
    Improved Single Image Dehazing Using Geometry
    Download  users.cecs.anu.edu.au
    Images captured in foggy weather conditions exhibit losses in quality which are dependent on distance. If the depth and atmospheric conditions are known, one can enhance the images...
    Peter Carr, Richard Hartley
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    DICTA
    2009
    336views Applied Computing» more  DICTA 2009»
    Modeling Image Context Using Object Centered Grid
    13 years 6 months ago
    Modeling Image Context Using Object Centered Grid
    Download  www.csc.kth.se
    Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...
    Sobhan Naderi Parizi, Ivan Laptev, Alireza Tavakol...
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    DICTA
    2009
    246views Applied Computing» more  DICTA 2009»
    Semantic Image Retrieval Using Region Based Inverted File
    13 years 6 months ago
    Semantic Image Retrieval Using Region Based Inverted File
    Download  personal.gscit.monash.edu.au
    Image data is as common as textual data in this digital world. There is an urgent demand of image management tools as efficient as those text search engines. Decades of research on...
    Dengsheng Zhang, Md. Monirul Islam, Guojun Lu, Jin...
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    DICTA
    2009
    324views Applied Computing» more  DICTA 2009»
    Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
    13 years 6 months ago
    Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
    Download  www.airportsofthefuture.qut.edu.au
    Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
    Simon Denman, Clinton Fookes, Sridha Sridharan
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    DICTA
    2009
    236views Applied Computing» more  DICTA 2009»
    Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment
    13 years 2 months ago
    Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment
    Download  www.airportsofthefuture.qut.edu.au
    Soft biometrics are characteristics that can be used to describe, but not uniquely identify an individual. These include traits such as height, weight, gender, hair, skin and cloth...
    Simon Denman, Clinton Fookes, Alina Bialkowski, Sr...
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