Results 31 to 40 of about 22,647 (298)
Panicle-3D: Efficient Phenotyping Tool for Precise Semantic Segmentation of Rice Panicle Point Cloud
Plant Phenomics, 2021 The automated measurement of crop phenotypic parameters is of great significance to the quantitative study of crop growth. The segmentation and classification of crop point cloud help to realize the automation of crop phenotypic parameter measurement. At
Liang Gong +7 more
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Measurement: Sensors, 2021 In order to accurately extract the effective area of microhardness indentation obtained by laser scanning confocal microscope, the indentation point cloud segmentation method is studied based on over-segmentation using voxel cloud connectivity ...
Shi Wei +3 more
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Robust Point Cloud Segmentation With Noisy Annotations
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 To Appear at TPAMI 2022.
Shuquan Ye +3 more
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4D point cloud semantic segmentation [PDF]
, 2023 3D point cloud semantic segmentation is a fundamental scene understanding task. Typical 3D point cloud semantic segmentation approaches analyze the 3D information of LiDAR point clouds and predict the classes of every point in the point cloud scenes ...
Shi, Hanyu
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Instance Segmentation of Industrial Point Cloud Data [PDF]
Journal of Computing in Civil Engineering, 2021 The challenge that this paper addresses is how to efficiently minimize the cost and manual labour for automatically generating object oriented geometric Digital Twins (gDTs) of industrial facilities, so that the benefits provide even more value compared to the initial investment to generate these models.
Eva Agapaki, Ioannis K. Brilakis
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Point Cloud Semantic Segmentation
CoRR, 2023 7 pages, 2 figures, 8 tables Language ...
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DRINet++: Efficient Voxel-as-point Point Cloud Segmentation
CoRR, 2021 Recently, many approaches have been proposed through single or multiple representations to improve the performance of point cloud semantic segmentation. However, these works do not maintain a good balance among performance, efficiency, and memory consumption. To address these issues, we propose DRINet++ that extends DRINet by enhancing the sparsity and
Maosheng Ye +4 more
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Frontiers in Plant Science, 2023 The 3D point cloud data are used to analyze plant morphological structure. Organ segmentation of a single plant can be directly used to determine the accuracy and reliability of organ-level phenotypic estimation in a point-cloud study.
Dabao Wang +8 more
doaj +1 more source
Active and incremental learning for semantic ALS point cloud segmentation [PDF]
, 2020 Supervised training of a deep neural network for semantic segmentation of point clouds requires a large amount of labelled data. Nowadays, it is easy to acquire a huge number of points with high density in large-scale areas using current LiDAR and ...
Lin, YAPING (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)
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Point Cloud Deep Learning Network Based on Local Domain Multi-Level Feature
Applied Sciences, 2023 Point cloud deep learning networks have been widely applied in point cloud classification, part segmentation and semantic segmentation. However, current point cloud deep learning networks are insufficient in the local feature extraction of the point ...
Xianquan Han +4 more
doaj +1 more source