Results 21 to 30 of about 19,175 (257)
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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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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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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Leaves Segmentation in 3D Point Cloud [PDF]
, 2017 This paper presents a 3D plant segmentation method with an emphasis on segmentation of the leaves. This method is part of a 3D plant phenotyping project with a main objective that deals with the development of the leaf area over time. First, a 3D point cloud of a plant is obtained with Structure from Motion technique and the cloud is then segmented ...
Gélard, William +6 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
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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
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Interactive Segmentation of Textured Point Clouds
, 2022 [VMV 2022 : Vision, Modeling, and Visualization / herausgegeben von Jan Bender, Mario Botsch, Daniel A. Keim, Daniel] International Symposium on Vision, Modeling and Visualization, VMV 2022, Konstanz, Germany, 27 Sep 2022 - 30 Sep 2022; The Eurographics Association 25-32 (2022).
Schmitz, Patric +3 more
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