A review of non-rigid transformations and learning-based 3D point cloud registration methods
Point cloud registration is a research field where the spatial relationship between two or
more sets of points in space is determined. Point clouds are found in multiple applications …
more sets of points in space is determined. Point clouds are found in multiple applications …
[HTML][HTML] Dual alloying improves the corrosion resistance of biodegradable Mg alloys prepared by selective laser melting
Mg alloys have been regarded as revolutionary metallic biomaterials for biodegradable
bone implants, but their applications are mainly blocked by the too rapid degradation in …
bone implants, but their applications are mainly blocked by the too rapid degradation in …
Research on multi-camera calibration and point cloud correction method based on three-dimensional calibration object
L Huang, F Da, S Gai - Optics and Lasers in Engineering, 2019 - Elsevier
The single camera measurement system can't obtain all the surface information of the object
limited by the field of view, thus it can't achieve complete measurement of the object. Multi …
limited by the field of view, thus it can't achieve complete measurement of the object. Multi …
Feature preserving non-rigid iterative weighted closest point and semi-curvature registration
Preserving features of a surface as characteristic local shape properties captured eg by
curvature, during non-rigid registration is always difficult where finding meaningful …
curvature, during non-rigid registration is always difficult where finding meaningful …
Non-rigid registration via intelligent adaptive feedback control
Preserving features or local shape characteristics of a mesh using conventional non-rigid
registration methods is always difficult, as the preservation and deformation are competing …
registration methods is always difficult, as the preservation and deformation are competing …
Multi-patch collaborative point cloud denoising via low-rank recovery with graph constraint
Point cloud is the primary source from 3D scanners and depth cameras. It usually contains
more raw geometric features, as well as higher levels of noise than the reconstructed mesh …
more raw geometric features, as well as higher levels of noise than the reconstructed mesh …
A radiation-free classification pipeline for craniosynostosis using statistical shape modeling
M Schaufelberger, R Kühle, A Wachter, F Weichel… - Diagnostics, 2022 - mdpi.com
Background: Craniosynostosis is a condition caused by the premature fusion of skull
sutures, leading to irregular growth patterns of the head. Three-dimensional …
sutures, leading to irregular growth patterns of the head. Three-dimensional …
Masi entropy based multilevel thresholding for image segmentation
A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …
utilizes Masi entropy as an objective function. Thresholding is an important image …
Data-driven geometry-recovering mesh denoising
Depth cameras and 3D scanners significantly simplify the procedure of geometric modeling.
3D surfaces have become more widespread, leading to a great demand for noise removal …
3D surfaces have become more widespread, leading to a great demand for noise removal …
Calibration method for the rotating axis in panoramic 3D shape measurement based on a turntable
X Cai, K Zhong, Y Fu, J Chen, Y Liu… - Measurement Science …, 2020 - iopscience.iop.org
In panoramic three-dimensional (3D) shape measurement based on a turntable, the point
cloud registration accuracy is greatly affected by the calibration of the rotating axis. To …
cloud registration accuracy is greatly affected by the calibration of the rotating axis. To …