Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12104/62711
Título: 3D representation for object detection and verification
Autor: Villavicencio, L.
Lopez-Franco, C.
Arana-Daniel, N.
Lopez-Franco, L.
Fecha de publicación: 2013
Resumen: In this paper we introduce a representation for object verification and a system for object recognition based on local features, invariant moments, silhouette creation and a 'net' reduction for depth information. The results are then compared with some of the most recent approaches for object detection such as local features and orientation histograms. Additionally, we used depth information to create descriptors that can be used for 3D verification of detected objects. Moments are computed from a 3D set of points which are arranged to create a descriptive object model. This information showed to be of matter in the decision whether the object is present within the analyzed image segment, or not. © 2013 Springer-Verlag Berlin Heidelberg.
URI: http://hdl.handle.net/20.500.12104/62711
Aparece en las colecciones:Producción científica UdeG (prueba)

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