Results 51 to 60 of about 381,180 (306)
An Improved Point Cloud Completion Method Based on SnowflakeNet
IEEE Access, 2023 Point cloud completion aims to complete partial point clouds captured from the real world, which is a crucial step in the pipeline of many point cloud tasks.
Ming Chen +3 more
doaj +1 more source
Process of designing robust, dependable, safe and secure software for medical devices: Point of care testing device as a case study [PDF]
, 2013 This article has been made available through the Brunel Open Access Publishing Fund.Copyright © 2013 Sivanesan Tulasidas et al. This paper presents a holistic methodology for the design of medical device software, which encompasses of a new way of ...
Balachandran, W +5 more
core +3 more sources
View-Agnostic Point Cloud Generation for Occlusion Reduction in Aerial Lidar
Remote Sensing, 2022 Occlusions are one of the leading causes of data degradation in lidar. The presence of occlusions reduces the overall aesthetic quality of a point cloud, creating a signature that is specific to that viewpoint and sensor modality.
Nina Singer, Vijayan K. Asari
doaj +1 more source
funcX: A Federated Function Serving Fabric for Science
, 2020 Exploding data volumes and velocities, new computational methods and platforms, and ubiquitous connectivity demand new approaches to computation in the sciences.
Akkus I. E. +11 more
core +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
, 2019 We present RL-GAN-Net, where a reinforcement learning (RL) agent provides fast and robust control of a generative adversarial network (GAN). Our framework is applied to point cloud shape completion that converts noisy, partial point cloud data into a ...
Kim, Young Min +2 more
core +1 more source
Gong-kuang zidonghuaThe digital 3D reconstruction process of coal mine fully mechanized working face roadways requires complete and dense coal wall point cloud data. Due to factors such as occlusion and limited viewing angle, the collected coal wall point cloud data of the ...
WANG Weibing +5 more
doaj +1 more source
Dual feature fusion network: A dual feature fusion network for point cloud completion
IET Computer Vision, 2022 Point cloud data in the real world is often affected by occlusion and light reflection, leading to incompleteness of the data. Large‐region missing point clouds will cause great deviations in downstream tasks.
Fang Gao +7 more
doaj +1 more source
, 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
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers [PDF]
AAAI Conference on Artificial IntelligencePoint cloud completion is an indispensable task for recovering complete point clouds due to incompleteness caused by occlusion, limited sensor resolution, etc.
Yi Rong +5 more
semanticscholar +1 more source