Results 61 to 70 of about 496,863 (282)
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
, 2019 Generating 3D point clouds is challenging yet highly desired. This work presents a novel autoregressive model, PointGrow, which can generate diverse and realistic point cloud samples from scratch or conditioned on semantic contexts.
Liu, Ziwei +4 more
core +1 more source
Generating Unrestricted 3D Adversarial Point Clouds
, 2021 Utilizing 3D point cloud data has become an urgent need for the deployment of artificial intelligence in many areas like facial recognition and self-driving. However, deep learning for 3D point clouds is still vulnerable to adversarial attacks, e.g., iterative attacks, point transformation attacks, and generative attacks. These attacks need to restrict
Dai, Xuelong +3 more
openaire +2 more sources
A generic point error model for TLS derived point clouds
SPIE Proceedings, 2017 This work aims at developing a generic and anisotropic point error model, which is capable of computing magnitude and direction of a priori random errors, described in the form of error ellipsoids for each individual point of the cloud. The direct TLS observations are the range (ρ), vertical (α) and horizontal (θ) angles, each of which is in fact ...
Ozendi, Mustafa +2 more
openaire +4 more sources
RadarSLAM: Radar based Large-Scale SLAM in All Weathers
, 2020 Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather conditions is still an open research problem.
Hong, Ziyang, Petillot, Yvan, Wang, Sen
core +1 more source
Where are Bottlenecks in NK Fitness Landscapes? [PDF]
, 2003 Usually the offspring-parent fitness correlation is used to visualize and analyze some caracteristics of fitness landscapes such as evolvability. In this paper, we introduce a more general representation of this correlation, the Fitness Cloud (FC).
Clergue, Manuel +2 more
core +3 more sources
Journal of Asian Architecture and Building Engineering, 2022 Unmanned aerial vehicles (UAVs) are widely utilized in civil engineering due to the ease of use of UAVs in aerial monitoring tasks. A UAV-based mapping system is efficient and allows for a higher frequency of monitoring.
Daeyoon Moon +5 more
doaj +1 more source
3D Point Cloud Completion Method Based on Building Contour Constraint Diffusion Probability Model
Applied Sciences, 2023 Building point cloud completion is the process of reconstructing missing parts of a building’s point cloud, which have been affected by external factors during data collection, to restore the original geometric shape of the building.
Bo Ye +6 more
doaj +1 more source
Maps for electron cloud density in Large Hadron Collider dipoles [PDF]
, 2007 The generation of a quasistationary electron cloud inside the beam pipe through beam-induced multipacting processes has become an area of intensive study.
Demma, T +4 more
core +2 more sources
Synthetic point cloud generation for class segmentation applications
Computing in Construction, 2022 Maintenance of industrial facilities is a growing hazard due to the cumbersome process needed to identify infrastructure degradation. Digital Twins have the potential to improve maintenance by monitoring the continuous digital representation of infrastructure. However, the time needed to map the existing geometry makes their use prohibitive.
Stefanelli, Maria Gonzalez +3 more
openaire +2 more sources
, 2018 We describe a guided proceduralization framework that optimizes geometry processing on architectural input models to extract target grammars. We aim to provide efficient artistic workflows by creating procedural representations from existing 3D models ...
Aliaga, Daniel G., Demir, Ilke
core +1 more source