rot2eul: Compute the Euler angles from a rotation matrix on SO(3).

In Directional: A Collection of Functions for Directional Data Analysis

Compute the Euler angles from a rotation matrix on SO(3).

Description

It calculates three euler angles (\theta_{12}, \theta_{13}, \theta_{23}) from a (3 \times 3) rotation matrix X, where X is defined as X = R_z(\theta_{12})\times R_y(\theta_{13}) \times R_x(\theta_{23}). Here R_x(\theta_{23}) means a rotation of \theta_{23} radians about the x axis.

Usage

rot2eul(X)

Arguments

X	A rotation matrix which is defined as a product of three elementary rotations mentioned above. Here \theta_{12}, \theta_{23} \in (-\pi, \pi) and and \theta_{13} \in (-\pi/2, \pi/2).

Details

Given a rotation matrix X, euler angles are computed by equating each element in X with the corresponding element in the matrix product defined above. This results in nine equations that can be used to find the euler angles.

Value

For a given rotation matrix, there are two eqivalent sets of euler angles.

Author(s)

Anamul Sajib <[e-mail]>.

R implementation and documentation: Anamul Sajib <[e-mail]>.

References

Green, P. J. and Mardia, K. V. (2006). Bayesian alignment using hierarchical models, with applications in proteins bioinformatics. Biometrika, 93(2):235–254.

http://www.staff.city.ac.uk/~sbbh653/publications/euler.pdf

See Also

eul2rot

Examples

# three euler angles

theta.12 <- sample( seq(-3, 3, 0.3), 1 )
theta.23 <- sample( seq(-3, 3, 0.3), 1 )
theta.13 <- sample( seq(-1.4, 1.4, 0.3), 1 )

theta.12 ; theta.23 ; theta.13

X <- eul2rot(theta.12, theta.23, theta.13)
X  ##  A rotation matrix

e <- rot2eul(X)$v1

theta.12 <- e[3]
theta.23 <- e[2]
theta.13 <- e[1]

theta.12 ; theta.23 ; theta.13

Directional documentation built on April 3, 2025, 7:59 p.m.