Multi-source data fusion improves time-series phenotype accuracy in maize under a field high-throughput phenoty** platform
Y Li, W Wen, J Fan, W Gou, S Gu, X Lu, Z Yu… - Plant …, 2023 - spj.science.org
The field phenoty** platforms that can obtain high-throughput and time-series phenotypes
of plant populations at the 3-dimensional level are crucial for plant breeding and …
of plant populations at the 3-dimensional level are crucial for plant breeding and …
Robust semi-supervised point cloud registration via latent GMM-based correspondence
Due to the fact that point clouds are always corrupted by significant noise and large
transformations, aligning two point clouds by deep neural networks is still challenging. This …
transformations, aligning two point clouds by deep neural networks is still challenging. This …
A review of rigid point cloud registration based on deep learning
L Chen, C Feng, Y Ma, Y Zhao, C Wang - Frontiers in Neurorobotics, 2024 - frontiersin.org
With the development of 3D scanning devices, point cloud registration is gradually being
applied in various fields. Traditional point cloud registration methods face challenges in …
applied in various fields. Traditional point cloud registration methods face challenges in …
D3GATTEN: Dense 3D geometric features extraction and pose estimation using self-attention
Point-cloud processing for extracting geometric features is difficult due to the highly non-
linear rotation variance and measurement noise corrupting the data. To address these …
linear rotation variance and measurement noise corrupting the data. To address these …
High-precision point cloud registration system of multi-view industrial self-similar workpiece based on super-point space guidance
The demand for 3D information in intelligent manufacturing makes complete point cloud of
large workpiece increasingly important in the industrial field. However, due to the limited …
large workpiece increasingly important in the industrial field. However, due to the limited …
INOPNet: Ignoring Non-overlap** Points Network with Initial Rotation Robustness for Partial-to-Partial Point Cloud Registration
Z Deng, X Wu, Y Wang, MY Wang - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Point cloud registration is the process of accurately aligning point clouds captured from
different perspectives using a range of 3-D sensors, such as stereo cameras, time-of-flight …
different perspectives using a range of 3-D sensors, such as stereo cameras, time-of-flight …
Enhancing Security in Cloud Registration with Multi Dimensional Features Fusion
Data mining uses artificial intelligence and other methods to extract hidden potential
information from large data sets, which provides an effective way to obtain valuable …
information from large data sets, which provides an effective way to obtain valuable …
Solution of Spatial Transformation Relationship of Similar Ruled Surfaces Based on Registration of Divided Regions
F Han, Z Hu, L He, X Peng, M Yang, C Zhang - Machines, 2022 - mdpi.com
Since the geometric transformation relationship of similar surfaces with complex features,
such as local deformation and curvature changes, is hard to be solved through global …
such as local deformation and curvature changes, is hard to be solved through global …
[PDF][PDF] Solution of Spatial Transformation Relationship of Similar Ruled Surfaces Based on Registration of Divided Regions. Machines 2022, 10, 956
F Han, Z Hu, L He, X Peng, M Yang, C Zhang - 2022 - pdfs.semanticscholar.org
Since the geometric transformation relationship of similar surfaces with complex features,
such as local deformation and curvature changes, is hard to be solved through global …
such as local deformation and curvature changes, is hard to be solved through global …