Results 1 to 10 of about 107,458 (327)
Fused Projection-Based Point Cloud Segmentation [PDF]
Sensors, 2022 Semantic segmentation is used to enable a computer to understand its surrounding environment. In image processing, images are partitioned into segments for this purpose.
Maximilian Kellner +2 more
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Scattered Train Bolt Point Cloud Segmentation Based on Hierarchical Multi-Scale Feature Learning [PDF]
Sensors, 2023 In view of the difficulty of using raw 3D point clouds for component detection in the railway field, this paper designs a point cloud segmentation model based on deep learning together with a point cloud preprocessing mechanism.
Ni Zeng +4 more
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MASPC_Transform: A Plant Point Cloud Segmentation Network Based on Multi-Head Attention Separation and Position Code [PDF]
Sensors, 2022 Plant point cloud segmentation is an important step in 3D plant phenotype research. Because the stems, leaves, flowers, and other organs of plants are often intertwined and small in size, this makes plant point cloud segmentation more challenging than ...
Bin Li, Chenhua Guo
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TUM-FAÇADE: REVIEWING AND ENRICHING POINT CLOUD BENCHMARKS FOR FAÇADE SEGMENTATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Point clouds are widely regarded as one of the best dataset types for urban mapping purposes. Hence, point cloud datasets are commonly investigated as benchmark types for various urban interpretation methods.
O. Wysocki, L. Hoegner, U. Stilla
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DRINet++: Efficient Voxel-as-point Point Cloud Segmentation [PDF]
, 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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RWAFormer: a lightweight road LiDAR point cloud segmentation network based on transformer [PDF]
Frontiers in Computer SciencePoint cloud semantic segmentation technology for road scenes plays an important role in the field of autonomous driving. However, accurate semantic segmentation of large-scale and non-uniformly dense LiDAR road point clouds still faces severe challenges.
Zirui Li +4 more
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Point Cloud Semantic Segmentation Method Based on Block Feature Fusion [PDF]
Jisuanji gongcheng, 2022 A semantic segmentation method integrating block features is proposed to reduce the computational complexity of semantic segmentation of multi-class 3D objects in outdoor large-scale point cloud scenes.The square grid segmentation method is used to ...
GAO Qingji, LI Tianhao, XING Zhiwei, LIU Peipei
doaj +1 more source
RESEARCH ON IMPROVED REGION GROWING POINT CLOUD ALGORITHM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The effective segmentation of point clouds is a prerequisite for surface reconstruction, blind spot repair, and so on. Among them, regional growth is widely used due to its simple and easy to implement algorithm.
C. L. Kang +9 more
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Instance Segmentation of LiDAR Point Clouds [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 We propose a robust baseline method for instance segmentation which are specially designed for large-scale outdoor LiDAR point clouds. Our method includes a novel dense feature encoding technique, allowing the localization and segmentation of small, far-away objects, a simple but effective solution for single-shot instance prediction and effective ...
Zhang, F +6 more
openaire +1 more source
Deep Segmentation of Point Clouds of Wheat [PDF]
Frontiers in Plant Science, 2021 The 3D analysis of plants has become increasingly effective in modeling the relative structure of organs and other traits of interest. In this paper, we introduce a novel pattern-based deep neural network, Pattern-Net, for segmentation of point clouds of wheat.
Morteza Ghahremani +6 more
openaire +3 more sources