Results 11 to 20 of about 22,647 (298)
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 ...
Gelard, William +6 more
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Deep FusionNet for Point Cloud Semantic Segmentation [PDF]
, 2020 Many point cloud segmentation methods rely on transferring irregular points into a voxel-based regular representation. Although voxel-based convolutions are useful for feature aggregation, they produce ambiguous or wrong predictions if a voxel contains points from different classes.
Zhang, F, Fang, J, Wah, B, Torr, PHS
openaire +4 more sources
Filtering-Assisted Airborne Point Cloud Semantic Segmentation for Transmission Lines [PDF]
SensorsPoint cloud semantic segmentation is crucial for identifying and analyzing transmission lines. Due to the number of point clouds being huge, complex scenes, and unbalanced sample proportion, the mainstream machine learning methods of point cloud ...
Wanjing Yan +5 more
doaj +2 more sources
PUPS: Point Cloud Unified Panoptic Segmentation [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Point cloud panoptic segmentation is a challenging task that seeks a holistic solution for both semantic and instance segmentation to predict groupings of coherent points. Previous approaches treat semantic and instance segmentation as surrogate tasks, and they either use clustering methods or bounding boxes to gather instance groupings with costly ...
Shihao Su +6 more
openaire +3 more sources
Comprehensive review on 3D point cloud segmentation in plants [PDF]
Artificial Intelligence in AgricultureSegmentation of three-dimensional (3D) point clouds is fundamental in comprehending unstructured structural and morphological data. It plays a critical role in research related to plant phenomics, 3D plant modeling, and functional-structural plant ...
Hongli Song +3 more
doaj +2 more sources
Edge Enhancement Oriented Graph Convolutional Networks for Point Cloud Segmentation [PDF]
IEEE AccessAiming at the problem of poor edge effect segmentation in point cloud segmentation, which fails to fully utilize the correlation between the local geometric and semantic features of point cloud.We propose an edge-enhanced graph convolution point cloud ...
Xiaoyan Zhang, Lin Feng
doaj +2 more sources
DataSet point Cloud LiDAR [PDF]
, 2023 <p>This is a repository that contains LiDAR point cloud images for the "Person" category, along with a JSON file that relates the labels for this category, as well as the resulting segmentation mask images for each of the images. Finally,
Jhon Aparicio Mesa
core +5 more sources
Segmentation of Points in the Future: Joint Segmentation and Prediction of a Point Cloud [PDF]
IEEE Access, 2021 Recognizing and predicting future three-dimensional (3D) scenes are crucial steps for real-time vision-based control systems, as these steps enable them to react appropriately in advance. In this study, a method for predicting the position of a 3D point cloud in the future and simultaneously segmenting the predicted point cloud is proposed for the ...
Cheng Wencan, Jong Hwan Ko
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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
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Three-Dimensional Point Cloud Segmentation Algorithm Based on Depth Camera for Large Size Model Point Cloud Unsupervised Class Segmentation. [PDF]
Sensors (Basel), 2023 This paper proposes a 3D point cloud segmentation algorithm based on a depth camera for large-scale model point cloud unsupervised class segmentation. The algorithm utilizes depth information obtained from a depth camera and a voxelization technique to ...
Fang K, Xu K, Wu Z, Huang T, Yang Y.
europepmc +2 more sources