Article ID Journal Published Year Pages File Type
10326739 Robotics and Autonomous Systems 2016 8 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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