Point cloud segmentation and classification of structural elements in multi-planar masonry building facades
Sign Up to like & getrecommendations! Published in 2020 at "Automation in Construction"
DOI: 10.1016/j.autcon.2020.103232
Abstract: Abstract Multi-planar building facades, pose significant challenges to existing point cloud segmentation techniques, as most have an underlying assumption that all structural elements appear within only a single plane, which is often untrue. For architecturally… read more here.
Keywords: cloud segmentation; multi planar; point cloud; structural elements ... See more keywords
A point cloud segmentation algorithm based on multi-feature training and weighted random forest
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad824d
Abstract: Point cloud segmentation is the process of dividing point cloud data into a series of coherent subsets according to its attributes. It has been widely used in target recognition, digital protection of cultural relics, medical… read more here.
Keywords: point; cloud segmentation; segmentation algorithm; point cloud ... See more keywords
A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3158438
Abstract: Airborne laser scanning (ALS) point cloud segmentation is an essential procedure for 3D data understanding and applications. This task is challenging due to the unstructured, disordered, and sparse distribution of the point cloud. PointNet++ is… read more here.
Keywords: point cloud; cloud segmentation; network; als point ... See more keywords
Point Cloud Segmentation Algorithm Based on Improved Euclidean Clustering
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3480333
Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object recognition, and robotic grasping. However, in practical scenarios, challenges such… read more here.
Keywords: segmentation; segmentation algorithm; cloud segmentation; point cloud ... See more keywords
A Novel Ground-Based Cloud Image Segmentation Method by Using Deep Transfer Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3072618
Abstract: Cloud segmentation is fundamental in obtaining many parameters of clouds. However, traditional cloud segmentation performs far from satisfactory, due to the fuzzy boundaries and complex textures of clouds. Although deep learning methods have shown superior… read more here.
Keywords: ground based; cloud segmentation; based cloud; segmentation ... See more keywords
3D Lidar Point Cloud Segmentation for Automated Driving
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2023.3325854
Abstract: The use of 3D point clouds (3DPCs) in deep learning (DL) has recently gained popularity due to several applications in fields such as computer vision, autonomous systems, and robotics. DL, as a dominant artificial intelligence… read more here.
Keywords: segmentation; point cloud; lidar point; lidar ... See more keywords
MSSEAG-UNet: A Novel Deep Learning Architecture for Cloud Segmentation in Fisheye Sky Images and Solar Energy Forecast
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3602317
Abstract: This study analyzes sky images captured using a ground-based fisheye camera, aiming to address the challenge of accurately segmenting clouds, which is difficult due to their fuzzy and indistinct boundaries and uneven lighting conditions. Accurate… read more here.
Keywords: forecast; cloud segmentation; msseag unet; sky images ... See more keywords
Three-Dimensional Point Cloud Segmentation Based on Context Feature for Sheet Metal Part Boundary Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3272047
Abstract: Point cloud is widely available in the manufacturing system with the continuous development of 3-D sensors. Accurate point cloud segmentation can automatically identify different components during the manufacturing process, which is essential to the quality… read more here.
Keywords: point cloud; cloud segmentation; segmentation; sheet metal ... See more keywords
CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3540645
Abstract: Curb detection is a crucial function in intelligent driving, essential for determining drivable areas on the road. However, the complexity of road environments makes curb detection challenging. This paper introduces CurbNet, a novel framework for… read more here.
Keywords: detection; curb detection; point cloud; curb ... See more keywords
GRAB-Net: Graph-based Boundary-aware Network for Medical Point Cloud Segmentation.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3265000
Abstract: Point cloud segmentation is fundamental in many medical applications, such as aneurysm clipping and orthodontic planning. Recent methods mainly focus on designing powerful local feature extractors and generally overlook the segmentation around the boundaries between… read more here.
Keywords: point cloud; cloud segmentation; graph; segmentation ... See more keywords
Semantic Context Encoding for Accurate 3D Point Cloud Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3007331
Abstract: Semantic context plays a significant role in image segmentation. However, few prior works have explored semantic contexts for 3D point cloud segmentation. In this paper, we propose a simple yet effective Point Context Encoding (PointCE)… read more here.
Keywords: context; cloud segmentation; segmentation; point cloud ... See more keywords