A comprehensive survey on point cloud registration
Registration is a transformation estimation problem between two point clouds, which has a
unique and critical role in numerous computer vision applications. The developments of …
unique and critical role in numerous computer vision applications. The developments of …
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 …
A tutorial review on point cloud registrations: principle, classification, comparison, and technology challenges
A point cloud as a collection of points is poised to bring about a revolution in acquiring and
generating three‐dimensional (3D) surface information of an object in 3D reconstruction …
generating three‐dimensional (3D) surface information of an object in 3D reconstruction …
Sensors and sensor fusion methodologies for indoor odometry: A review
Although Global Navigation Satellite Systems (GNSSs) generally provide adequate
accuracy for outdoor localization, this is not the case for indoor environments, due to signal …
accuracy for outdoor localization, this is not the case for indoor environments, due to signal …
[HTML][HTML] Reconstruction of the fetus face from three-dimensional ultrasound using a newborn face statistical shape model
A Alomar, A Morales, K Vellvé, AR Porras… - Computer methods and …, 2022 - Elsevier
Background and objective: The fetal face is an essential source of information in the
assessment of congenital malformations and neurological anomalies. Disturbance in early …
assessment of congenital malformations and neurological anomalies. Disturbance in early …
When deep learning meets data alignment: A review on deep registration networks (drns)
This paper reviews recent deep learning-based registration methods. Registration is the
process that computes the transformation that aligns datasets, and the accuracy of the result …
process that computes the transformation that aligns datasets, and the accuracy of the result …
[HTML][HTML] Efficient coarse registration method using translation-and rotation-invariant local descriptors towards fully automated forest inventory
In this paper, we present a simple, efficient, and robust algorithm for 2D coarse registration
of two point clouds. In the proposed algorithm, the locations of some distinct objects are …
of two point clouds. In the proposed algorithm, the locations of some distinct objects are …
3D correspondence and point projection method for structures deformation analysis
Mining slopes, electrical power generation dams and several big construction enterprises
demands continuous inspections. The size and diversity of these structures demands high …
demands continuous inspections. The size and diversity of these structures demands high …
CFD validation using in-vitro MRI velocity data–Methods for data matching and CFD error quantification
C Wüstenhagen, K John, S Langner, M Brede… - Computers in Biology …, 2021 - Elsevier
Predicting blood flow velocities in patient-specific geometries with Computational Fluid
Dynamics (CFD) can provide additional data for diagnosis and treatment planning but the …
Dynamics (CFD) can provide additional data for diagnosis and treatment planning but the …
3D scanning of Upper Limb anatomy by a depth-camera-based system
The 3D reconstruction of upper limb anatomy plays a significant role in many biomedical
fields such as ergonomics, motion rehabilitation, and prosthesis design. In the last few years …
fields such as ergonomics, motion rehabilitation, and prosthesis design. In the last few years …