Key-component detection on 3D meshes using local features

Ivan Sipiran, Benjamin Bustos

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

10 Citas (Scopus)

Resumen

In this paper, we present a method to detect stable components on 3D meshes. A component is a region on the mesh which contains discriminative local features. Our goal is to represent a 3D mesh with a set of regions, which we called key-components, that characterize the represented object and therefore, they could be used for effective matching and recognition. As key-components are features in coarse scales, they are less sensitive to mesh deformations such as noise. In addition, the number of key-components is low compared to other local representations such as keypoints, allowing us to use them in efficient subsequent tasks. An desirable characteristic of a decomposition is that the components should be repeatable regardless shape transformations. We show in the experiments that the key-components are repeatable under several transformations using the SHREC'2010 feature detection benchmark.

Idioma originalInglés
Título de la publicación alojadaEG 3DOR 2012 - Eurographics 2012 Workshop on 3D Object Retrieval
Páginas25-32
Número de páginas8
DOI
EstadoPublicada - 2012
Publicado de forma externa
Evento5th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2012 - Cagliari, Italia
Duración: 13 may. 201213 may. 2012

Serie de la publicación

NombreEurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (versión impresa)1997-0463
ISSN (versión digital)1997-0471

Conferencia

Conferencia5th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2012
País/TerritorioItalia
CiudadCagliari
Período13/05/1213/05/12

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