Difference between revisions of "Rotations using quaternions"

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[[File:quaternion-rpy.png|right|350px]]
 
[[File:quaternion-rpy.png|right|350px]]
Usually rotations are defined by 3 angles, either [[Euler angles|Euler]] or [[Roll-Pitch-Yaw]] angles. So three successive rotations around three different axes lead to a combined rotation, that can be described by a single rotation matrix. Such a combined rotation is equal to a rotation around a certain axis in three-dimensional space about a certain angle. This is shown in the figure on the right. Using quaternions, a rotation  
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Usually rotations are defined by 3 angles, either [[Euler angles|Euler]] or [[Roll-Pitch-Yaw]] angles. So three successive rotations around three different axes lead to a combined rotation, that can be described by a single rotation matrix. Such a combined rotation is equal to a rotation around a certain axis in three-dimensional space about a certain angle. This is shown in the figure on the right. The vector <math>\vec{\mathbf{r}}</math> is rotated such that it results in <math>\vec{\mathbf{r}}'</math>. This could be done by rotating the vector around the z-, the y- and the x-axis successively or by just rotating it around the rotation axis <math>\vec{\mathbf{u}}</math> by <math>\phi</math>. The result is the same.
  
  

Revision as of 14:34, 2 September 2015

← Back: Multiplication of quaternions Overview: Quaternions Next: Realization of transformations
Quaternion-rpy.png

Usually rotations are defined by 3 angles, either Euler or Roll-Pitch-Yaw angles. So three successive rotations around three different axes lead to a combined rotation, that can be described by a single rotation matrix. Such a combined rotation is equal to a rotation around a certain axis in three-dimensional space about a certain angle. This is shown in the figure on the right. The vector \vec{\mathbf{r}} is rotated such that it results in \vec{\mathbf{r}}'. This could be done by rotating the vector around the z-, the y- and the x-axis successively or by just rotating it around the rotation axis \vec{\mathbf{u}} by \phi. The result is the same.