Results 11 to 20 of about 4,650,387 (294)
An efficient deep learning approach for ground point filtering in aerial laser scanning point clouds [PDF]
, 2021 peer reviewedGround surface extraction is one of the classic tasks in airborne laser scanning (ALS) point cloud processing that is used for three-dimensional (3D) city modelling, infrastructure health monitoring, and disaster management.
TEFERLE, Felix Norman +4 more
core +1 more source
Applied Sciences, 2022 Road high-precision mobile LiDAR measurement point clouds are the digital infrastructures for high-precision maps, autonomous driving, digital twins, etc. High-precision automated semantic segmentation of road point clouds is a crucial research direction.
Peng Cheng +5 more
doaj +1 more source
A MARKER-FREE CALIBRATION METHOD FOR MOBILE LASER SCANNING POINT CLOUDS CORRECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Mobile laser scanning systems (MLS) have been widely used in collecting three-dimensional point clouds for many applications, such as 3D mapping, road facilities inventory and high definition map.
B. Yang, Y. Li, X. Zou, Z. Dong
doaj +1 more source
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
CoRR, 2021 Recently, there has been a significant interest in performing convolution over irregularly sampled point clouds. Since point clouds are very different from regular raster images, it is imperative to study the generalization of the convolution networks more closely, especially their robustness under variations in scale and rotations of the input data ...
Xingyi Li +3 more
openaire +2 more sources
DENOISING OF 3D POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 A method to remove random errors from 3D point clouds is proposed. It is based on the estimation of a local geometric descriptor of each point. For mobile mapping LiDAR and airborne LiDAR, a combined standard mesurement uncertainty of the LiDAR system ...
E. Mugner, N. Seube
doaj +1 more source
Geodesics on Point Clouds [PDF]
Mathematical Problems in Engineering, 2014 We present a novel framework to compute geodesics on implicit surfaces and point clouds. Our framework consists of three parts, particle based approximate geodesics on implicit surfaces, Cartesian grid based approximate geodesics on point clouds, and geodesic correction.
Hongchuan Yu, Jian J. Zhang, Zheng Jiao
openaire +1 more source
EDC-Net: Edge Detection Capsule Network for 3D Point Clouds
Applied Sciences, 2021 Edge features in point clouds are prominent due to the capability of describing an abstract shape of a set of points. Point clouds obtained by 3D scanner devices are often immense in terms of size. Edges are essential features in large scale point clouds
Dena Bazazian, M. Eulàlia Parés
doaj +1 more source
REFINEMENT OF COLORED MOBILE MAPPING DATA USING INTENSITY IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Mobile mapping systems (MMS) can capture dense point-clouds of urban scenes. For visualizing realistic scenes using point-clouds, RGB colors have to be added to point-clouds.
T. Yamakawa +3 more
doaj +1 more source
Detecting moving spheres in 3D point clouds via the 3D velocity Hough transform [PDF]
, 2013 We present a new approach to extracting moving spheres from a sequence of 3D point clouds. The new 3D velocity Hough Transform (3DVHT) incorporates motion parameters in addition to structural parameters in an evidence gathering process to accurately ...
Mark S. Nixon +7 more
core +1 more source
Georeferenced Point Clouds: A Survey of Features and Point Cloud Management [PDF]
ISPRS International Journal of Geo-Information, 2013 This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed.
Johannes Otepka +4 more
openaire +5 more sources