Results 41 to 50 of about 5,548,528 (274)
Two-branch Shape Complement Network for Feature Missing Splicing Mode
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
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
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
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]
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
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
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
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]
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
Point cloud data in the real world is often affected by occlusion and light reflection, leading to incompleteness of the data. Largeāregion missing point clouds will cause great deviations in downstream tasks.
Fang Gao +7 more
doaj +1 more source

