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%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2011/07.11.03.56
%2 sid.inpe.br/sibgrapi/2011/07.11.03.56.14
%A Coelho, Marcelo de Miranda,
%A Valle, Eduardo,
%A dos Santos Júnior, Cássio Elias,
%A Araújo, Arnaldo de Albuquerque,
%@affiliation Preparatory School of Air Cadets
%@affiliation University of Campinas
%@affiliation Federal University of Minas Gerais
%@affiliation Federal University of Minas Gerais
%T Subspace Clustering for Information Retrieval in Urban Scene Databases
%B Conference on Graphics, Patterns and Images, 24 (SIBGRAPI)
%D 2011
%E Lewiner, Thomas,
%E Torres, Ricardo,
%S Proceedings
%8 Aug. 28 - 31, 2011
%J Los Alamitos
%I IEEE Computer Society Conference Publishing Services
%C Maceió
%K subspace clustering, information retrieval, large databases, urban databases.
%X 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.
%@language en
%3 coelho_sibgrapi_2011_camera_ready_final.pdf


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