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dc.date.accessioned 2016-08-31T12:16:50Z
dc.date.available 2016-08-31T12:16:50Z
dc.date.issued 2014
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/54575
dc.description.abstract Time of Flight (TOF) cameras generate two simultaneous images, one for intensity and one for range. This allows tackling segmentation problems where the information pertaining to intensity or range alone is not enough to extract objects of interest from a 3D scene. In this paper, we present a spectral segmentation method that combines information from both images. By modifying the affinity matrix of each of the images based on the other, the segmentation of objects in the scene is improved. The proposed method exploits two mechanisms, one for reducing the computational demand when calculating the eigenvectors for each matrix, and another for improving segmentation performance. The experimental results obtained with two sets of real images are presented and used to assess the proposed method. en
dc.format.extent 101-110 es
dc.language en es
dc.subject segmentation es
dc.subject range images es
dc.subject Time of Flight Cameras es
dc.title Time of Flight Image Segmentation through Co-Regularized Spectral Clustering en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-987-1985-71-5 es
sedici.creator.person Lorenti, Luciano es
sedici.creator.person Giacomantone, Javier es
sedici.description.note Publicado en Feierherd, Guillermo; Pesado, Patricia; Spositto, Osvaldo (eds.). Computer Science & Technology Series. XX Argentine Congress of Computer Science. Selected papers. La Plata, Editorial de la Universidad Nacional de La Plata, 2015. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2014
sedici.relation.event XX Congreso Argentino de Ciencias de la Computación (CACIC 2014) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/48825 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)