Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10326739 | Robotics and Autonomous Systems | 2016 | 8 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Javier Navarrete, Vicente Morell, Miguel Cazorla, Diego Viejo, José GarcÃa-RodrÃguez, Sergio Orts-Escolano,