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A survey on 3d skeleton-based action recognition using learning method
Three-dimensional skeleton-based action recognition (3D SAR) has gained important
attention within the computer vision community, owing to the inherent advantages offered by …
attention within the computer vision community, owing to the inherent advantages offered by …
Unsupervised deep probabilistic approach for partial point cloud registration
Deep point cloud registration methods face challenges to partial overlaps and rely on
labeled data. To address these issues, we propose UDPReg, an unsupervised deep …
labeled data. To address these issues, we propose UDPReg, an unsupervised deep …
[PDF][PDF] A comprehensive survey and taxonomy on point cloud registration based on deep learning
Ghmm: Learning generative hybrid mixture models for generalized point set registration in computer-assisted orthopedic surgery
In computer-assisted orthopedic surgery (CAOS), the overlay of pre-operative information
onto the surgical scene is achieved through the registration of pre-operative 3D models with …
onto the surgical scene is achieved through the registration of pre-operative 3D models with …
A new method for point cloud registration: Adaptive relation-oriented convolution and recurrent correspondence-walk
F Cao, L Zhu, H Ye, C Wen, Q Zhang - Knowledge-Based Systems, 2024 - Elsevier
For point cloud registration (PCR), a matching matrix is critical. Unfortunately, the existing
approaches do not explicitly devise schemes to refine the matching matrix. Furthermore …
approaches do not explicitly devise schemes to refine the matching matrix. Furthermore …
SharpGConv: A novel graph method with plug-and-play sharpening convolution for point cloud registration
F Cao, L Wang, H Ye - … on Circuits and Systems for Video …, 2024 - ieeexplore.ieee.org
Point cloud registration is a critical research area in computer vision with extensive
applications. Recent studies have unveiled the significant potential of graph neural networks …
applications. Recent studies have unveiled the significant potential of graph neural networks …
Lfa-net: Enhanced pointnet and assignable weights transformer network for partial-to-partial point cloud registration
Z Zhao, J Kang, L Feng, J Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Partial point cloud registration is an essential and fundamental component of generating
complete 3D shapes, aiming at converting partial scans into a unified coordinate system …
complete 3D shapes, aiming at converting partial scans into a unified coordinate system …