A robust 3D interest points detector based on harris operator

Ivan Sipiran, Benjamin Bustos

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

108 Citas (Scopus)


With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesting research field. In 3D objects, the aim is to detect a few salient structures which can be used, instead of the whole object, for applications like object registration, retrieval, and mesh simplification. In this paper, we present an interest points detector for 3D objects based on Harris operator, which has been used with good results in computer vision applications. We propose an adaptive technique to determine the neighborhood of a vertex, over which the Harris response on that vertex is calculated. Our method is robust to affine transformations(partially for object rotation) and distortion transformation such as noise addition. Moreover, the distribution of interest points on the surface of an object remains similar in transformed objects, which is a desirable behavior in applications such as shape matching and object registration.

Idioma originalInglés
Título de la publicación alojadaEG 3DOR 2010 - Eurographics 2010 Workshop on 3D Object Retrieval
Número de páginas8
EstadoPublicada - 2010
Publicado de forma externa
Evento3rd Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2009 - Norrkoping, Suecia
Duración: 2 may. 20102 may. 2010

Serie de la publicación

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


Conferencia3rd Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2009


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