Results 31 to 40 of about 19,175 (257)
Point attention network for semantic segmentation of 3D point clouds [PDF]
Pattern Recognition, 2020 Submitted to a ...
Mingtao Feng +4 more
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Tassel Segmentation of Maize Point Cloud Based on Super Voxels Clustering and Local Features
智慧农业, 2021 Accurate and high-throughput maize plant phenotyping is vital for crop breeding and cultivation research. Tassel-related phenotypic parameters are important agronomic traits.
ZHU Chao +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
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Building Plane Segmentation Based on Point Clouds [PDF]
Remote Sensing, 2021 Planes are essential features to describe the shapes of buildings. The segmentation of a plane is significant when reconstructing a building in three dimensions. However, there is a concern about the accuracy in segmenting plane from point cloud data.
Zhonghua Su +6 more
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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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Determination of the impact of RGB points cloud attribute quality on color-based segmentation process [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2015 The article presents the results of research on the effect that radiometric quality of point cloud RGB attributes have on color-based segmentation.
Bartłomiej Kraszewski
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IEEE Access, 2023 As a critical step in 3D scene understanding, semantic segmentation of point clouds has broad application scenarios, including intelligent driving, augmented reality, smart factories, etc.
Ansi Zhang +4 more
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Interactive Object Segmentation in 3D Point Clouds
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 We propose an interactive approach for 3D instance segmentation, where users can iteratively collaborate with a deep learning model to segment objects in a 3D point cloud directly. Current methods for 3D instance segmentation are generally trained in a fully-supervised fashion, which requires large amounts of costly training labels, and does not ...
Theodora Kontogianni +3 more
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A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation
IEEE Access, 2022 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++
Lili Yu, Haiyang Yu, Shuai Yang
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SoftGroup for 3D Instance Segmentation on Point Clouds
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 To appear in CVPR ...
Thang Vu +4 more
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