Habeck's rotation matrix generation: Generation of three-dimensional random rotations using Habeck's algorithm.
Description
It generates random rotations in three-dimensional space that follow a probability distribution,
matrix Fisher distribution, arising in fitting and matching problem.
Usage
habeck.rot(F)
Value
A simulated rotation matrix.
Arguments
F
An arbitrary 3 x 3 matrix represents the parameter matrix of this distribution.
Author
Anamul Sajib.
R implementation and documentation: Anamul Sajib <sajibstat@du.ac.bd>.
Details
Firstly rotation matrices X are chosen which are the closest to F, and then parameterized using euler angles.
Then a Gibbs sampling algorithm is implemented to generate rotation matrices from the resulting disribution of
the euler angles.
References
Habeck M (2009). Generation of three-dimensional random rotations in fitting and matching problems. Computational Statistics, 24, 719--731.