Results 31 to 40 of about 997,464 (307)

Self-Ordering Point Clouds

open access: yes2023 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]

open access: yesACM 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

VIPDA: A Visually Driven Point Cloud Denoising Algorithm Based on Anisotropic Point Cloud Filtering

open access: yesFrontiers 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

Restoration of Individual Tree Missing Point Cloud Based on Local Features of Point Cloud

open access: yesRemote 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]

open access: yes, 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

UAV-Borne LiDAR Crop Point Cloud Enhancement Using Grasshopper Optimization and Point Cloud Up-Sampling Network

open access: yesRemote Sensing, 2020
Because of low accuracy and density of crop point clouds obtained by the Unmanned Aerial Vehicle (UAV)-borne Light Detection and Ranging (LiDAR) scanning system of UAV, an integrated navigation and positioning optimization method based on the grasshopper
Jian Chen   +4 more
doaj   +1 more source

Repairing triangle meshes built from scanned point cloud [PDF]

open access: yes, 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

Colored Point Cloud Completion for a Head Using Adversarial Rendered Image Loss

open access: yesJournal of Imaging, 2022
Recent advances in depth measurement and its utilization have made point cloud processing more critical. Additionally, the human head is essential for communication, and its three-dimensional data are expected to be utilized in this regard.
Yuki Ishida   +2 more
doaj   +1 more source

STRATEGY ON HIGH-DEFINITION POINT CLOUD MAP CREATION FOR AUTONOMOUS DRIVING IN HIGHWAY ENVIRONMENTS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
In recent years, a lot of researchers have been trying the development of efficient ways to create HD maps with centimeter-level precision. Mobile mapping system (MMS) produce 3D HD point cloud map of the surrounding by integrating navigation (i.e ...
S. Srinara   +5 more
doaj   +1 more source

RE-PU: A Self-Supervised Arbitrary-Scale Point Cloud Upsampling Method Based on Reconstruction

open access: yesApplied Sciences
The point clouds obtained directly from three-dimensional scanning devices are often sparse and noisy. Therefore, point cloud upsampling plays an increasingly crucial role in fields such as point cloud reconstruction and rendering.
Yazhen Han   +3 more
doaj   +1 more source

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