Results 41 to 50 of about 5,548,528 (274)

Two-branch Shape Complement Network for Feature Missing Splicing Mode

open access: yesJournal 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
doaj   +1 more source

SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion

open access: yes, 2021
Point cloud completion estimates the complete shape given incomplete point cloud, which is a crucial task as the raw point cloud measurements suffer from missing data.
Young Min Kim   +3 more
core   +1 more source

An Improved Point Cloud Completion Method Based on SnowflakeNet

open access: yesIEEE 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
doaj   +1 more source

Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation

open access: yesCoRR, 2022
Most existing point cloud completion methods are only applicable to partial point clouds without any noises and outliers, which does not always hold in practice. We propose in this paper an end-to-end network, named CS-Net, to complete the point clouds contaminated by noises or containing outliers. In our CS-Net, the completion and segmentation modules
Changfeng Ma   +4 more
openaire   +3 more sources

Enhancing Performance of Point Cloud Completion Networks with Consistency Loss [PDF]

open access: yes
Point cloud completion networks are conventionally trained to minimize the disparities between the completed point cloud and the ground-truth counterpart.
Kong, Seung-Hyun   +2 more
core   +3 more sources

Point cloud completion via structured feature maps using a feedback network

open access: yesComputational 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
doaj   +1 more source

View-Agnostic Point Cloud Generation for Occlusion Reduction in Aerial Lidar

open access: yesRemote 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
doaj   +1 more source

A method for completing coal wall point cloud in fully mechanized working face based on residual optimization

open access: yesGong-kuang zidonghua
The 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
doaj   +1 more source

CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm [PDF]

open access: yes, 2022
Point cloud completion aims to predict complete shape from its partial observation. Current approaches mainly consist of generation and refinement stages in a coarse-to-fine style.
Qiao, Yu   +4 more
core   +1 more source

Dual feature fusion network: A dual feature fusion network for point cloud completion

open access: yesIET Computer Vision, 2022
Point cloud data in the real world is often affected by occlusion and light reflection, leading to incompleteness of the data. Large‐region missing point clouds will cause great deviations in downstream tasks.
Fang Gao   +7 more
doaj   +1 more source

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