3D mesh interest point detection using GISIFs and heat diffusion

Jan Hurtado, Madeley Coaquira, Cristian Lopez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

To facilitate processing of 3D objects is common to use high-level representations. The interest points are one of them. An interest point should possess a distinctive feature regarding its locality and should be stable in different instances of the object. This article proposes a descriptor based on symmetry (GISIFs) and heat diffusion (HKS). From this features, we select a set of representative points. The GISIFs referenced in this article has not been used to extract local features. We compare our results with the results of other techniques, which make up the state of the art in interest point detection. We use a benchmark that evaluates the accuracy of the selected points with respect to an ideal set of interest points.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2015 41st Latin American Computing Conference, CLEI 2015
EditoresAlex Cuadros-Vargas, Hector Cancela, Ernesto Cuadros-Vargas
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781467391436
DOI
EstadoPublicada - 16 dic. 2015
Publicado de forma externa
Evento41st Latin American Computing Conference, CLEI 2015 - Arequipa, Perú
Duración: 19 oct. 201523 oct. 2015

Serie de la publicación

NombreProceedings - 2015 41st Latin American Computing Conference, CLEI 2015

Conferencia

Conferencia41st Latin American Computing Conference, CLEI 2015
País/TerritorioPerú
CiudadArequipa
Período19/10/1523/10/15

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