3D point cloud simplification is an important pretreatment in surface reconstruction for
sparing computer resources and improving reconstruction speed. However, existing …

In this paper we suggest an extension to the Industry Foundation Classes (IFC) model to
integrate point cloud datasets. The proposal includes a schema extension to the core model …

With the development of 3D measurement systems, dense colored point clouds are
increasingly available. However, up to now, their use in interactive applications has been …

Abstract 3D point clouds represent an essential category of geodata used in a variety of
geoinformation applications and systems. We present a novel, interactive out-of-core …

Readily available RGB-D cameras in smart phones and improving 3D scanning
technologies have made it possible to produce detailed point cloud and point-based models …

This paper addresses the challenges of rendering massive indoor point clouds in Virtual
Reality. In these kind of visualizations the point of view is never static, imposing the need of …

3D point cloud technology facilitates the automated and highly detailed digital acquisition of
real-world environments such as assets, sites, cities, and countries; the acquired 3D point …

In this paper we present a flexible framework for creating spatial data structures to manage
LiDAR point clouds in the context of spatial big data. For this purpose, standard approaches …

During the last decade the increased use of laser range-scanners for sampling the
environment has led to gigantic point cloud data sets. Due to the size of such data sets, tasks …

Particle representations are used often in large-scale simulations and observations,
frequently creating datasets containing several millions of particles or more. Due to their …