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    » Matching two clusters of points extracted from satellite ima...
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    GIS
    2008
    ACM
    194views Automated Reasoning» more  GIS 2008»
    Low-cost orthographic imagery
    14 years 11 months ago
    Low-cost orthographic imagery
    Download  research.microsoft.com
    Commercial aerial imagery websites, such as Google Maps, MapQuest, Microsoft Virtual Earth, and Yahoo! Maps, provide high- seamless orthographic imagery for many populated areas, ...
    Peter Pesti, Jeremy Elson, Jon Howell, Drew Steedl...
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    ECCV
    2008
    Springer
    454views Computer Vision» more  ECCV 2008»
    SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor
    13 years 11 months ago
    SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor
    Download  www.cse.iitm.ac.in
    Extraction and matching of discriminative feature points in images is an important problem in computer vision with applications in image classification, object recognition, mosaici...
    Raj Gupta, Anurag Mittal
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    GEOINFORMATICA
    2008
    135views more  GEOINFORMATICA 2008»
    Automatically and Accurately Conflating Raster Maps with Orthoimagery
    13 years 9 months ago
    Automatically and Accurately Conflating Raster Maps with Orthoimagery
    Download  www.isi.edu
    Recent growth of geospatial information online has made it possible to access various maps and orthoimagery. Conflating these maps and imagery can create images that combine the vi...
    Ching-Chien Chen, Craig A. Knoblock, Cyrus Shahabi
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    TRECVID
    2008
    200views Internet Technology» more  TRECVID 2008»
    National Institute of Informatics, Japan at TRECVID 2008
    13 years 11 months ago
    National Institute of Informatics, Japan at TRECVID 2008
    Download  www-nlpir.nist.gov
    This paper reports our experiments for TRECVID 2008 tasks: high level feature extraction, search and contentbased copy detection. For the high level feature extraction task, we use...
    Duy-Dinh Le, Xiaomeng Wu, Shin'ichi Satoh, Sheetal...
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    CVPR
    2004
    IEEE
    320views Computer Vision» more  CVPR 2004»
    Scale-Invariant Shape Features for Recognition of Object Categories
    14 years 1 months ago
    Scale-Invariant Shape Features for Recognition of Object Categories
    Download  users.info.unicaen.fr
    We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
    Frédéric Jurie, Cordelia Schmid
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