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@InProceedings{CoelhoVallSantAra˙:2011:SuClIn,
               author = "Coelho, Marcelo de Miranda and Valle, Eduardo and dos Santos 
                         J{\'u}nior, C{\'a}ssio Elias and Ara{\'u}jo, Arnaldo de 
                         Albuquerque",
          affiliation = "{Preparatory School of Air Cadets} and {University of Campinas} 
                         and {Federal University of Minas Gerais} and {Federal University 
                         of Minas Gerais}",
                title = "Subspace Clustering for Information Retrieval in Urban Scene 
                         Databases",
            booktitle = "Proceedings...",
                 year = "2011",
               editor = "Lewiner, Thomas and Torres, Ricardo",
         organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
            publisher = "IEEE Computer Society Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "subspace clustering, information retrieval, large databases, urban 
                         databases.",
             abstract = "We present a comprehensive study of two important subspace 
                         clustering algorithms and their contribution to enhance results 
                         for the difficult task of matching images of the same object using 
                         different devices at different conditions. Our experiments were 
                         performed on two distinct databases containing urban scenes which 
                         were tested using state-of-the-art matching algorithms. Our start 
                         point was the hypothesis that low discriminant local point 
                         descriptors lead to misclassification, which can be reduced 
                         employing clustering techniques as filters. A significantly 
                         amelioration of the results obtained for the two tested databases 
                         was achieved, which indicates that subspace clustering techniques 
                         have much to contribute at this kind of application. Another point 
                         is whether the occurrence of obstacles like trees and shadows are 
                         responsible for misclassification of images.",
  conference-location = "Macei{\'o}",
      conference-year = "Aug. 28 - 31, 2011",
             language = "en",
           targetfile = "coelho_sibgrapi_2011_camera_ready_final.pdf",
        urlaccessdate = "2019, Dec. 07"
}


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