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      <dc:title>A new pyramid-based color image representation for visual localization</dc:title>
      <dc:creator>Urdiales-García, Amalia Cristina</dc:creator>
      <dc:creator>Domínguez, Miguel</dc:creator>
      <dc:creator>De-Trazegnies-Otero, Carmen Lourdes</dc:creator>
      <dc:creator>Sandoval-Hernández, Francisco</dc:creator>
      <dc:subject>Procesado de imágenes - Técnicas digitales</dc:subject>
      <dc:description>This paper presents a new algorithm to extract a color graph from a real image so that it can be efficiently represented in a compact way. The proposal presents two main novelties. First, a new PCA-based color feature vector has been defined. This vector is resistant against illumination changes, noise and microtextures. Second, the image is segmented by means of a fast, hierarchical split and merge algorithm based on a pyramid structure that implicitly provides a color graph. In order to test the suitability of the proposed representation technique, simple localization experiments have been conducted in different real environments.</dc:description>
      <dc:date>2024-02-09T08:55:51Z</dc:date>
      <dc:date>2024-02-09T08:55:51Z</dc:date>
      <dc:date>2010</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>C. Urdiales, M. Dominguez, C. de Trazegnies, F. Sandoval, A new pyramid-based color image representation for visual localization, Image and Vision Computing, Volume 28, Issue 1, 2010, Pages 78-91, ISSN 0262-8856, https://doi.org/10.1016/j.imavis.2009.04.014.</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10630/30238</dc:identifier>
      <dc:identifier>https://doi.org/10.1016/j.imavis.2009.04.014</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>open access</dc:rights>
      <dc:publisher>Elsevier</dc:publisher>
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