Results 51 to 60 of about 6,440,801 (359)
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer [PDF]
European Conference on Computer Vision, 2022 Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of a 3D object from its partial observation.
Hao Zhou +6 more
semanticscholar +1 more source
Fused Projection-Based Point Cloud Segmentation
Sensors, 2022 Semantic segmentation is used to enable a computer to understand its surrounding environment. In image processing, images are partitioned into segments for this purpose.
Maximilian Kellner +2 more
doaj +1 more source
Repairing triangle meshes built from scanned point cloud [PDF]
, 2007 The Reverse Engineering process consists of a succession of operations that aim at creating a digital representation of a physical model. The reconstructed geometric model is often a triangle mesh built from a point cloud acquired with a scanner ...
MORARU, George +2 more
core +5 more sources
IOP Conference Series: Earth and Environmental Science, 2016 The representation of physical buildings in Building Information Models (BIM) has been a subject of research since four decades in the fields of Construction Informatics and GeoInformatics. The early digital representations of buildings mainly appeared as 3D drawings constructed by CAD software, and the 3D representation of the buildings was only ...
Ivan Kunchev +2 more
openaire +1 more source
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 In this paper we address the task of finding representative subsets of points in a 3D point cloud by means of a point-wise ordering. Only a few works have tried to address this challenging vision problem, all with the help of hard to obtain point and cloud labels.
Yang, P., Snoek, C.G.M., Asano, Y.M.
openaire +4 more sources
Orienting point clouds with dipole propagation [PDF]
ACM Transactions on Graphics, 2021 Establishing a consistent normal orientation for point clouds is a notoriously difficult problem in geometry processing, requiring attention to both local and global shape characteristics. The normal direction of a point is a function of the local surface neighborhood;
Metzer, Gal +5 more
openaire +5 more sources
Restoration of Individual Tree Missing Point Cloud Based on Local Features of Point Cloud
Remote Sensing, 2022 LiDAR (Light Detection And Ranging) technology is an important means to obtain three-dimensional information of trees and vegetation. However, due to the influence of scanning mode, environmental occlusion and mutual occlusion between tree canopies and ...
Wei Cao, Jiayi Wu, Yufeng Shi, Dong Chen
doaj +1 more source
Two-point correlation properties of stochastic "cloud processes'' [PDF]
, 2007 We study how the two-point density correlation properties of a point particle distribution are modified when each particle is divided, by a stochastic process, into an equal number of identical "daughter" particles. We consider generically that there may
A. Gabrielli +10 more
core +3 more sources
VIPDA: A Visually Driven Point Cloud Denoising Algorithm Based on Anisotropic Point Cloud Filtering
Frontiers in Signal Processing, 2022 Point clouds (PCs) provide fundamental tools for digital representation of 3D surfaces, which have a growing interest in recent applications, such as e-health or autonomous means of transport.
Tiziana Cattai +3 more
doaj +1 more source
New instruments and technologies for Cultural Heritage survey: full integration between point clouds and digital photogrammetry [PDF]
, 2010 In the last years the Geomatic Research Group of the Politecnico di Torino faced some new research topics about new instruments for point cloud generation (e.g. Time of Flight cameras) and strong integration between multi-image matching techniques and 3D
Chiabrando, Filiberto +3 more
core +1 more source