Point Clouds as an Efficient Multiscale Layered Spatial Representation

Poux, Florent; Neuville, Romain; Hallot, Pierre; Billen, Roland

Point Clouds as an Efficient Multiscale Layered Spatial Representation

Files

031-036.pdf (15.66 MB)

Date

2016

Authors

Poux, Florent
Neuville, Romain
Hallot, Pierre
Billen, Roland

Publisher

The Eurographics Association

Abstract

3D point clouds describe urban shape at different scales, precisions and resolutions depending on the underlying sensors and acquisition methodology. These factors influence the quality of the data, as well as its representativity. In this paper, we propose a multi-scale workflow to obtain a better description of the captured environment through a multi-scale representative point cloud, presenting an unlimited depth and multisensory data fusion. Our method is shown over a ''smart point cloud'' data structure and based on data fusion principles retaining higher description and precision on overlapping areas. The concept is illustrated through a use case on the castle of Jehay (Belgium), where aerial LiDAR data, terrestrial laser scanner point cloud and photogrammetrybased reconstruction are combined to obtain a multi-scale data structure.

        @inproceedings{10.2312:udmv.20161417
,
booktitle = {Eurographics Workshop on Urban Data Modelling and Visualisation
},
editor = {Vincent Tourre and Filip Biljecki
},
title = {{Point Clouds as an Efficient Multiscale Layered Spatial Representation
}},
author = {Poux, Florent and 
Neuville, Romain and 
Hallot, Pierre and 
Billen, Roland
},
year = {2016
},
publisher = {The Eurographics Association
},
ISSN = {2307-8251
},
ISBN = {978-3-03868-013-0
},
DOI = {10.2312/udmv.20161417
}
}