A Distributed Model for Computing 3D Mesh Local Descriptors Based on k-Rings

Descripción del Articulo

In order to facilitate 3D object processing, it is common to use high-level representations such as local descriptors that are usually computed using defined neighborhoods. K-rings, a technique to define them, is widely used by several methods. In this work, we propose a model for the distributed co...

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Detalles Bibliográficos
Autores: Suni-Lopez, Franci, Hurtado, Jan, Márquez, Alejandra, Guzmán, Leonardo
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad de Lima
Repositorio:Revistas - Universidad de Lima
Lenguaje:inglés
OAI Identifier:oai:revistas.ulima.edu.pe:article/5886
Enlace del recurso:https://revistas.ulima.edu.pe/index.php/Interfases/article/view/5886
Nivel de acceso:acceso abierto
Materia:3D local descriptor
geometry processing
distributed computing
large meshes
descriptor local 3D
procesamiento geométrico
computación distribuida
mallas grandes
Descripción
Sumario:In order to facilitate 3D object processing, it is common to use high-level representations such as local descriptors that are usually computed using defined neighborhoods. K-rings, a technique to define them, is widely used by several methods. In this work, we propose a model for the distributed computation of local descriptors over 3D triangular meshes, using the concept of k-rings. In our experiments, we measure the performance of our model on huge meshes, evaluating the speedup, the scalability, and the descriptor computation time. We show the optimal configuration of our model for the cluster we implemented and the linear growth of computation time regarding the mesh size and the number of rings. We used the Harris response, which describes the saliency of the object, for our tests.
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