Spinnet: Learning a general surface descriptor for 3d point cloud registration
Extracting robust and general 3D local features is key to downstream tasks such as point
cloud registration and reconstruction. Existing learning-based local descriptors are either …
cloud registration and reconstruction. Existing learning-based local descriptors are either …
Gpa-net: No-reference point cloud quality assessment with multi-task graph convolutional network
With the rapid development of 3D vision, point cloud has become an increasingly popular
3D visual media content. Due to the irregular structure, point cloud has posed novel …
3D visual media content. Due to the irregular structure, point cloud has posed novel …
Trigonometric projection statistics histograms for 3D local feature representation and shape description
X Liu, A Li, J Sun, Z Lu - Pattern Recognition, 2023 - Elsevier
Feature representation as a significant approach to three-dimensional (3D) shape
description has been widely employed in computer vision. However, most existing methods …
description has been widely employed in computer vision. However, most existing methods …
You only train once: Learning general and distinctive 3D local descriptors
Extracting distinctive, robust, and general 3D local features is essential to downstream tasks
such as point cloud registration. However, existing methods either rely on noise-sensitive …
such as point cloud registration. However, existing methods either rely on noise-sensitive …
FApSH: An effective and robust local feature descriptor for 3D registration and object recognition
Abstract Three-dimensional (3D) local feature descriptor plays an important role in 3D
computer vision because it is widely used to build point-to-point correspondences in many …
computer vision because it is widely used to build point-to-point correspondences in many …
Registration of 3D point clouds using a local descriptor based on grid point normal
J Wang, B Wu, J Kang - Applied Optics, 2021 - opg.optica.org
The coarse-to-fine method is the prime technology for point cloud registration in 3D
reconstruction. Aimed at the problem of low accuracy of coarse registration for the partially …
reconstruction. Aimed at the problem of low accuracy of coarse registration for the partially …
Adaptive milling for contours on deformed surface based on on-machine measurement and optimized parallel projection
B Yi, R Li, W Li, X Wang, S Wu, N Huang - The International Journal of …, 2023 - Springer
Machining contours on a large thin-walled part is a difficult task due to inevitable
deformation of the actual part. The deformation of the contour can significantly influence the …
deformation of the actual part. The deformation of the contour can significantly influence the …
The Z-axis, X-axis, Weight and Disambiguation Methods for Constructing Local Reference Frame in 3D Registration: An Evaluation
The local reference frame (LRF), as an independent coordinate system generated on a local
3D surface, is widely used in 3D local feature descriptor construction and 3D transformation …
3D surface, is widely used in 3D local feature descriptor construction and 3D transformation …
Approach to construct fast and robust local reference frames based on a point cloud
J Huang, S Sun, C Liang, T Huang - Applied Optics, 2024 - opg.optica.org
The construction of local reference frames (LRFs) holds a foundational role with widespread
application spanning the realms of point cloud registration, object recognition, etc. This work …
application spanning the realms of point cloud registration, object recognition, etc. This work …
SliceLRF: A Local Reference Frame Sliced along the Height on the 3D Surface
B Zhong, D Li - Sensors, 2023 - mdpi.com
The local reference frame (LRF) plays a vital role in local 3D shape description and
matching. Numerous LRF methods have been proposed in recent decades. However, few …
matching. Numerous LRF methods have been proposed in recent decades. However, few …