Quaternions represent rotation through an extension of complex numbers. A full explanation of quaternions and their intrinsics is out of this document’s scope, in this section however enough information is provided to use quaternion’s effectively as a tool.
In practice quaternions are rarely constructed directly as it is fairly difficult to get an intuition for its argument values.
val q = Quaternion(0.4, 0.3, 0.1, 0.1)
Instead quaternions are created from Euler-rotation angles and concatenated in quaternion space. Working in quaternion domains warrants consistent rotations and avoids gimbal locks.
val q0 = fromAngles(pitch0, yaw0, roll0) val q1 = fromAngles(pitch1, yaw1, roll1) val q = q0 * q1
Spherical linear interpolation, or colloquially “slerping” solves the problem of interpolating or blending between rotations.
val q0 = fromAngles(pitch0, yaw0, roll0) val q1 = fromAngles(pitch1, yaw1, roll1) val q = slerp(q0, q1, 0.5)
Quaternion to matrix
Naturally quaternions can be converted to matrices. Quaternions have a
matrix property that holds a
Matrix44 representation of the orientation represented by the Quaternion.
val q0 = fromAngles(pitch, yaw, roll) drawer.model *= q0.matrix.matrix44