3DCOMET: 3D compression methods test dataset
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http://hdl.handle.net/10045/51855
Títol: | 3DCOMET: 3D compression methods test dataset |
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Autors: | Navarrete, Javier | Morell, Vicente | Cazorla, Miguel | Viejo Hernando, Diego | Garcia-Rodriguez, Jose | Orts-Escolano, Sergio |
Grups d'investigació o GITE: | Robótica y Visión Tridimensional (RoViT) | Informática Industrial y Redes de Computadores |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Instituto Universitario de Investigación Informática |
Paraules clau: | 3D data | Data compression | Dataset |
Àrees de coneixement: | Ciencia de la Computación e Inteligencia Artificial | Arquitectura y Tecnología de Computadores |
Data de publicació: | de gener-2016 |
Editor: | Elsevier |
Citació bibliogràfica: | Robotics and Autonomous Systems. 2016, 75(B): 550-557. doi:10.1016/j.robot.2015.09.028 |
Resum: | The use of 3D data in mobile robotics applications provides valuable information about the robot’s environment. However usually the huge amount of 3D information is difficult to manage due to the fact that the robot storage system and computing capabilities are insufficient. Therefore, a data compression method is necessary to store and process this information while preserving as much information as possible. A few methods have been proposed to compress 3D information. Nevertheless, there does not exist a consistent public benchmark for comparing the results (compression level, distance reconstructed error, etc.) obtained with different methods. In this paper, we propose a dataset composed of a set of 3D point clouds with different structure and texture variability to evaluate the results obtained from 3D data compression methods. We also provide useful tools for comparing compression methods, using as a baseline the results obtained by existing relevant compression methods. |
Patrocinadors: | This work was partially supported by grant DPI2013-40534-R of the Ministerio of Economia y Competitividad of the Spanish Government, supported with Feder funds, and Valencian’s Government project GV/2014/097. |
URI: | http://hdl.handle.net/10045/51855 |
ISSN: | 0921-8890 (Print) | 1872-793X (Online) |
DOI: | 10.1016/j.robot.2015.09.028 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © 2015 Elsevier B.V. |
Revisió científica: | si |
Versió de l'editor: | http://dx.doi.org/10.1016/j.robot.2015.09.028 |
Apareix a la col·lecció: | INV - RoViT - Artículos de Revistas INV - I2RC - Artículos de Revistas INV - AIA - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2016_Navarrete_etal_RobotAutSyst_final.pdf | Versión final (acceso restringido) | 1,79 MB | Adobe PDF | Obrir Sol·licitar una còpia |
2016_Navarrete_etal_RobotAutSyst_accepted.pdf | Accepted Manuscript (acceso abierto) | 9,7 MB | Adobe PDF | Obrir Vista prèvia |
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