Efficient conversion from rotating matrix to rotation axis and angle by extending Rodrigues' formula
Not on the map. Why?
Abstract (arXiv)
In computational 3D geometric problems involving rotations, it is often that people have to convert back and forth between a rotational matrix and a rotation described by an axis and a corresponding angle. For this purpose, Rodrigues' rotation formula is a very popular expression to use because of its simplicity and efficiency. Nevertheless, while converting a rotation matrix to an axis of rotation and the rotation angle, there exists ambiguity. Further judgement or even manual interference may be necessary in some situations. An extension of the Rodrigues' formula helps to find the sine and cosine values of the rotation angle with respect to a given rotation axis is found and this simple extension may help to accelerate many applications.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 2; 2023: 1; 2024: 1.
4 papers.
- 2022Equivariant Representation Learning via Class-Pose Decompositioncited by 17
- 2022An Indoor Localization Dataset and Data Collection Framework with High Precision Position Annotationcited by 0
- 2023Equivariant Representation Learning in the Presence of Stabilizerscited by 0
- 2024Mesh Denoising Transformercited by 0
- 2024Mesh Denoising Transformer10 May 2024
- 2023Equivariant Representation Learning in the Presence of Stabilizers12 Jan 2023
- 2022An Indoor Localization Dataset and Data Collection Framework with High Precision Position Annotation6 Sep 2022
- 2022Equivariant Representation Learning via Class-Pose Decomposition7 Jul 2022