Results 31 to 40 of about 5,839,842 (237)
PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis [PDF]
, 2023 Directly processing 3D point cloud data becomes dominant in classification and segmentation tasks. Present mainstream point based methods usually focus on learning in either geometric space ( PointNet++) or semantic space ( DGCNN). Owing to the irregular
Hussain, Amir +5 more
core +1 more source
Remote Sensing, 2022 Semantic segmentation in LiDAR point clouds has become an important research topic for autonomous driving systems. This paper proposes a dynamic graph convolution neural network for LiDAR point cloud semantic segmentation using a polar bird’s-eye view ...
Wei Song +5 more
doaj +1 more source
Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation [PDF]
, 2023 Traditional 3D segmentation methods can only recognize a fixed range of classes that appear in the training set, which limits their application in real-world scenarios due to the lack of generalization ability.
Huang, Shaofei +7 more
core +1 more source
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
, 2021 Point cloud semantic segmentation is a crucial task in 3D scene understanding. Existing methods mainly focus on employing a large number of annotated labels for supervised semantic segmentation.
Yang, Jian +3 more
core +1 more source
Real-time semantic clothing segmentation [PDF]
, 2012 Clothing segmentation is a challenging field of research which is rapidly gaining attention. This paper presents a system for semantic segmentation of primarily monochromatic clothing and printed/stitched textures in single images or live video.
Cushen, George, Nixon, Mark S.
core +2 more sources
Evaluating the Quality of Semantic Segmented 3D Point Clouds
Remote Sensing, 2022 Recently, 3D point clouds have become a quasi-standard for digitization. Point cloud processing remains a challenge due to the complex and unstructured nature of point clouds.
Eike Barnefske, Harald Sternberg
doaj +1 more source
Study on Single-Tree Extraction Method for Complex RGB Point Cloud Scenes
Remote Sensing, 2023 With the development of sensor technology and point cloud generation techniques, there has been an increasing amount of high-quality forest RGB point cloud data. However, popular clustering-based point cloud segmentation methods are usually only suitable
Kai Xia +4 more
doaj +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Novel Class Discovery for 3D Point Cloud Semantic Segmentation
, 2023 Novel class discovery (NCD) for semantic segmentation is the task of learning a model that can segment unlabelled (novel) classes using only the supervision from labelled (base) classes.
Riz, Luigi +3 more
core +2 more sources
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source