Results 21 to 30 of about 17,399 (204)
Cyclic Global Guiding Network for Point Cloud Completion
Remote Sensing, 2022 The application of 3D scenes has gradually expanded in recent years. A 3D point cloud is unreliable when it is acquired because of the performance of the sensor. Therefore, it causes difficulties in utilization. Point cloud completion can reconstruct and
Ming Wei +4 more
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DF-Net: Dynamic and Folding Network for 3D Point Cloud Completion
IEEE Access, 2022 The development of 3D sensors encourages researchers to process point cloud data directly. Point cloud data requires less memory but conveys more detailed 3D shape information.
Yao Xiao +4 more
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Sparse-to-Dense Multi-Encoder Shape Completion of Unstructured Point Cloud
IEEE Access, 2020 Unstructured point clouds are a representative shape representation of real-world scenes in 3D vision and graphics. Incompletion inevitably arises, due to the way the set of unorganized points is captured, e.g., as fusion of depth images, merged laser ...
Yanjun Peng +6 more
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Multi-Branch and Multi-Scale Point Cloud Completion Network [PDF]
Jisuanji gongchengThis paper proposes a point cloud completion network based on multi-branch multi-scale feature fusion because the existing networks cannot extract high-quality global and local features of point clouds simultaneously and lose point cloud detail and ...
CHEN Xiaolei, WANG Rong
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Two-branch Shape Complement Network for Feature Missing Splicing Mode
Journal of Harbin University of Science and Technology, 2023 Aiming at the problem of low fidelity of reverse geometric reconstruction of bowl-shaped cultural relics model due to the missing fragments , a 3D point cloud shape completion network based on double discrimination decoder is proposed.
SUNJin, MAHaotian, LEIZhenting, LIANGLi
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An Improved Point Cloud Completion Method Based on SnowflakeNet
IEEE Access, 2023 Point cloud completion aims to complete partial point clouds captured from the real world, which is a crucial step in the pipeline of many point cloud tasks.
Ming Chen +3 more
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View-Agnostic Point Cloud Generation for Occlusion Reduction in Aerial Lidar
Remote Sensing, 2022 Occlusions are one of the leading causes of data degradation in lidar. The presence of occlusions reduces the overall aesthetic quality of a point cloud, creating a signature that is specific to that viewpoint and sensor modality.
Nina Singer, Vijayan K. Asari
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Gong-kuang zidonghuaThe digital 3D reconstruction process of coal mine fully mechanized working face roadways requires complete and dense coal wall point cloud data. Due to factors such as occlusion and limited viewing angle, the collected coal wall point cloud data of the ...
WANG Weibing +5 more
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Point cloud completion via structured feature maps using a feedback network
Computational Visual Media, 2022 In this paper, we tackle the challenging problem of point cloud completion from the perspective of feature learning. Our key observation is that to recover the underlying structures as well as surface details, given partial input, a fundamental component
Zejia Su +4 more
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3D Point Cloud Completion Method Based on Building Contour Constraint Diffusion Probability Model
Applied Sciences, 2023 Building point cloud completion is the process of reconstructing missing parts of a building’s point cloud, which have been affected by external factors during data collection, to restore the original geometric shape of the building.
Bo Ye +6 more
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