Geometric 3D point cloud compression

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Title: Geometric 3D point cloud compression
Authors: Morell, Vicente | Orts-Escolano, Sergio | Cazorla, Miguel | Garcia-Rodriguez, Jose
Research Group/s: Robótica y Visión Tridimensional (RoViT) | Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: 3D data | Compression | Kinect
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial | Arquitectura y Tecnología de Computadores
Issue Date: 12-Jun-2014
Publisher: Elsevier
Citation: Pattern Recognition Letters. 2014, Accepted Manuscript. doi:10.1016/j.patrec.2014.05.016
Abstract: The use of 3D data in mobile robotics applications provides valuable information about the robot’s environment but usually the huge amount of 3D information is unmanageable by the robot storage and computing capabilities. A data compression is necessary to store and manage this information but preserving as much information as possible. In this paper, we propose a 3D lossy compression system based on plane extraction which represent the points of each scene plane as a Delaunay triangulation and a set of points/area information. The compression system can be customized to achieve different data compression or accuracy ratios. It also supports a color segmentation stage to preserve original scene color information and provides a realistic scene reconstruction. The design of the method provides a fast scene reconstruction useful for further visualization or processing tasks.
Sponsor: This work has been supported by the Spanish Government DPI2013-40534-R grant.
ISSN: 0167-8655 (Print) | 1872-7344 (Online)
DOI: 10.1016/j.patrec.2014.05.016
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
Publisher version:
Appears in Collections:INV - RoViT - Artículos de Revistas
INV - I2RC - Artículos de Revistas

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