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Metrics for 3D rotations: Comparison and analysis
DQ Huynh - Journal of Mathematical Imaging and Vision, 2009 - Springer
Abstract 3D rotations arise in many computer vision, computer graphics, and robotics
problems and evaluation of the distance between two 3D rotations is often an essential task …
problems and evaluation of the distance between two 3D rotations is often an essential task …
SO (3)-invariance of informed-graph-based deep neural network for anisotropic elastoplastic materials
This paper examines the frame-invariance (and the lack thereof) exhibited in simulated
anisotropic elasto-plastic responses generated from supervised machine learning of …
anisotropic elasto-plastic responses generated from supervised machine learning of …
Metrics proposed for measuring the distance between two rigid-body poses: Review, comparison, and combination
R Di Gregorio - Robotica, 2024 - cambridge.org
The concept of distance between two rigid-body poses is important in path planning,
positioning precision, mechanism synthesis, and in many other applications. In the definition …
positioning precision, mechanism synthesis, and in many other applications. In the definition …
Approaching dual quaternions from matrix algebra
F Thomas - IEEE Transactions on Robotics, 2014 - ieeexplore.ieee.org
Dual quaternions give a neat and succinct way to encapsulate both translations and
rotations into a unified representation that can easily be concatenated and interpolated …
rotations into a unified representation that can easily be concatenated and interpolated …
A Task-driven approach to unified synthesis of planar four-bar linkages using algebraic fitting of a pencil of G-manifolds
This paper studies the problem of planar four-bar motion generation from the viewpoint of
extraction of geometric constraints from a given set of planar displacements. Using the …
extraction of geometric constraints from a given set of planar displacements. Using the …
Self-supervised point set local descriptors for point cloud registration
Descriptors play an important role in point cloud registration. The current state-of-the-art
resorts to the high regression capability of deep learning. However, recent deep learning …
resorts to the high regression capability of deep learning. However, recent deep learning …
Defining the pose of any 3d rigid object and an associated distance
The pose of a rigid object is usually regarded as a rigid transformation, described by a
translation and a rotation. However, equating the pose space with the space of rigid …
translation and a rotation. However, equating the pose space with the space of rigid …
Pose changes from a different point of view
For more than a century, rigid-body displacements have been viewed as affine
transformations described as homogeneous transformation matrices wherein the linear part …
transformations described as homogeneous transformation matrices wherein the linear part …
Simpleego: Predicting probabilistic body pose from egocentric cameras
Our work addresses the problem of egocentric human pose estimation from downwards-
facing cameras on head-mounted devices (HMD). This presents a challenging scenario, as …
facing cameras on head-mounted devices (HMD). This presents a challenging scenario, as …
[PDF][PDF] Multi-field and multi-scale computational fracture mechanics and machine-learning material modeling
Y Heider - 2021 - researchgate.net
Die Bruchmechanik zählt zu den aufstrebenden und vielversprechendsten Gebieten der
Ingenieurmechanik. In den letzten Jahrzehnten wurden zahlreiche theoretische …
Ingenieurmechanik. In den letzten Jahrzehnten wurden zahlreiche theoretische …