Inproceedings,
3D Point Cloud Compression using Conventional Image Compression for Efficient Data Transmission
Proceedings of the XXV International Symposium on Information, Communication and Automation Technologies (ICAT '15), page 1--8. Sarajevo, Bosnia, IEEE Xplore, (October 2015)
DOI: 10.1109/ICAT.2015.7340499
Abstract
Modern 3D laser scanners make it easy to collect
large 3D point clouds. In this paper we present the
use of conventional image based compression methods
for 3D point clouds. We map the point cloud onto
panorama images to encode the range, reflectance and
color value for each point. An encoding method is
presented to map the floating point measured ranges
on to a three channel image. The image compression
methods are used to compress the generated panorama
images. We present the results of several lossless
compression methods and the lossy JPEG on point
cloud compression. Lossless compression methods are
designed to retain the original data. On the other
hand lossy compression methods sacrifice the details
for higher compression ratio. This produces
artefacts in the recovered point cloud data. We
study the effects of these artefacts on encoded
range data. A filtration process is presented for
determination of range outliers from uncompressed
point clouds.
