Saturday, 21 February 2009


Quaternions, discovered in 1843 by Hamilton, are the extension of complex numbers to four dimensions. As it turns out, they are very useful in computer graphics and can represent any rotation in 3D space in a compact and computationally cheap form. Another advantage of quaternions is that they avoid gimbal lock as they can describe a rotation in one operation as opposed to Euler angles that combine yaw, pitch and roll in separate operations.

A quaternion can be written as \hat{\mathbf{q}}=iq_x+jq_y+kq_z+q_w=\mathbf{q}_v+q_w where i,j,k are all different square roots of -1 such that, \begin{align*}ij & = k, & \qquad ji & = -k, \\jk & = i, & kj & = -i, \\ki & = j, & ik & = -j.\end{align*} The vector \hat{\mathbf{q}}_v is closely related to the axis of rotation and the angle of rotation affects all parts of the quaternion as we shall see below.

A unit quaternion, \hat{\mathbf{q}}, can represent a rotation of 2\phi radians around an axis, \mathbf{u}, by \hat{\mathbf{q}}=(\sin \phi \mathbf{u}, \cos \phi). To rotate a point or vector, \mathbf{p}, by this quaternion is, \hat{\mathbf{q}}\mathbf{p}\hat{\mathbf{q}}^{-1}. It can be shown that the inverse, \hat{\mathbf{q}}^{-1}, for a unit quaternion, \hat{\mathbf{q}}, is actually the conjugate where this is defined as, \hat{\mathbf{q}}^{*} = (-\mathbf{q}_v, q_w).

The product of two quaternions is determined by the product of the basis elements and the distributive law, \begin{align*}\hat{\mathbf{q}}\hat{\mathbf{r}} & = (iq_x+jq_y+kq_z+q_w)(ir_x+jr_y+kr_z+r_w)\\& = i(q_y r_z-q_z r_y+r_w q_x+q_w r_x)\\& \quad + j(q_z r_x-q_x r_z+r_w q_y+q_w r_y)\\& \quad + k(q_x r_y-q_y r_x+r_w q_z+q_w r_z)\\& \quad + q_w r_w-q_x r_x-q_y r_y-q_z r_z\\& = (\mathbf{q}_v \times \mathbf{r}_v + r_w \mathbf{q}_v + q_w \mathbf{r}_v,q_w r_w - \mathbf{q}_v \cdot \mathbf{r}_v).\end{align*} The transformation expressed by a unit quaternion can also, and more usefully in computer graphics, be represented by the matrix, M =\begin{pmatrix} 1-2(q_y^2+q_z^2) & 2(q_xq_y-q_wq_z) & 2(q_xq_z+q_wq_y) & 0 \\ 2(q_xq_y+q_wq_z) & 1-2(q_x^2+q_z^2) & 2(q_yq_z-q_wq_x) & 0 \\ 2(q_xq_z-q_wq_y) & 2(q_yq_z+q_wq_x) & 1-2(q_x^2+q_y^2) & 0 \\ 0 & 0 & 0 & 1 \end{pmatrix}

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