Point Cloud; Multi-scale; Photogrammetry; 3D Capture; Data fusion; Point cloud attributes; Laser scanning; Cultural heritage; 3D Real time
Abstract :
[en] 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. [fr] Les nuages de points 3D décrivent le contexte urbain à différentes échelles, précisions et résolutions suivant les capteurs sous-jacents et la méthodologie d'acquisition utilisée. Ces facteurs influencent la qualité des données, ainsi que leur représentativité. Dans cet article, nous proposons une chaine de traitement multi-échelles pour obtenir une meilleure description de l'environnement capturé à travers un nuage de points obtenu par fusion de données multi-échelles et multisensorielle. Notre méthode est basée sur une structure de données type «nuage de points intelligents» et repose sur des principes de fusion de données conservant une description et une précision supérieures dans les zones de recouvrement. Le concept est illustré par un cas d'utilisation sur le château de Jehay (Belgique) où les données LiDAR aériennes, un nuage de points issu de scanner terrestre et la reconstruction photogrammétrique sont combinés pour obtenir une structure de données à plusieurs échelles.
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