Reference TypeConference Proceedings
Citation KeyCoelhoVallSantAraú:2011:SuClIn
Author1 Coelho, Marcelo de Miranda
2 Valle, Eduardo
3 dos Santos Júnior, Cássio Elias
4 Araújo, Arnaldo de Albuquerque
Affiliation1 Preparatory School of Air Cadets
2 University of Campinas
3 Federal University of Minas Gerais
4 Federal University of Minas Gerais
TitleSubspace Clustering for Information Retrieval in Urban Scene Databases
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationMaceió
Keywordssubspace clustering, information retrieval, large databases, urban databases.
AbstractWe 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.
Tertiary TypeFull Paper
FormatDVD, On-line.
Size23272 KiB
Number of Files1
Target Filecoelho_sibgrapi_2011_camera_ready_final.pdf
Last Update2011:
Metadata Last Update2020: administrator {D 2011}
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History2011-07-23 15:36:13 :: -> administrator :: 2011
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