Use this link to cite:
http://hdl.handle.net/2183/24907 Segmentación 3D rápida aplicada a la detección de elementos ornamentales en nubes de puntos del patrimonio cultural
Loading...
Identifiers
Publication date
Authors
Salamanca, Santiago
Merchán, Pilar
Pérez, Emiliano
Adán Oliver, Antonio
Merchán, María José
Moreno Rabel, María Dolores
Advisors
Other responsabilities
Journal Title
Bibliographic citation
Salamanca, S., Merchán, P., Pérez, E., Merchán M.J. y Moreno, M.D. Segmentación 3D rápida aplicada a la detección de elementos ornamentales en nubes de puntos del patrimonio cultural. En Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de Septiembre de 2018 (pp.1085-1091). DOI capítulo: https://doi.org/10.17979/spudc.9788497497565.1085. DOI libro: https://doi.org/10.17979/spudc.9788497497565
Type of academic work
Academic degree
Abstract
[Resumen] En este trabajo se presenta un procedimiento de segmentación de datos 3D pertenecientes a obras del patrimonio cultural. El objetivo es, en primer lugar, que el algoritmo sea capaz de separar las zonas ornamentales de las no ornamentales y, en segundo lugar, que el procedimiento sea rápido. Para ello se ha propuesto un método que realiza la segmentación en dos etapas, una primera en la que agrupa zonas en función de la pertenencia de los puntos a planos, y la segunda que usa tres características que son usadas por el algoritmo k-medias para obtener la segmentación definitiva. El procedimiento se ha probado en varias nubes de puntos 3D reales.
[Abstract] This paper presents a 3D data segmentation procedure belonging to cultural heritage works. The objective is, first of all, that the algorithm be able to separate the ornamental areas from the nonornamental ones and, secondly, that the procedure be quick. For this, a method has been proposed that performs segmentation in two stages, a first in which 3D points are grouped into zones according to whether they belong to the same plane or not, and thesecond that uses three characteristics that are used by the algorithm. k-means to obtain the definitive segmentation. The procedure has been tested on several real 3D point clouds.
[Abstract] This paper presents a 3D data segmentation procedure belonging to cultural heritage works. The objective is, first of all, that the algorithm be able to separate the ornamental areas from the nonornamental ones and, secondly, that the procedure be quick. For this, a method has been proposed that performs segmentation in two stages, a first in which 3D points are grouped into zones according to whether they belong to the same plane or not, and thesecond that uses three characteristics that are used by the algorithm. k-means to obtain the definitive segmentation. The procedure has been tested on several real 3D point clouds.
Description
Editor version
Rights
Atribución-NoComercial 3.0 España


