Determine transformation:
The pyramid described by the coordinates A (0, 0, 0), B (2, 0, 0), C (0, 2, 0) and D (0, 0, 2) is rotated by 60o about a line L that has the direction V = J + K and passing through point C (0, 2, 0).
![1251_Determine transformation.png](https://www.expertsmind.com/CMSImages/1251_Determine%20transformation.png)
Figure
Solution
The rotation matrix Rθ, L may be found by concatenating the matrices. The required transformation may be obtained by following the under stated steps:
1. Translate point C to the origin.
2. Align V with the vector K.
3. Rotate by θo about K.
4. Reverse steps (2) and (1).
So the rotation matrix Rθ, L is
![2263_Determine transformation1.png](https://www.expertsmind.com/CMSImages/2263_Determine%20transformation1.png)
Along with C = (0, 2, 0) then
![293_Determine transformation2.png](https://www.expertsmind.com/CMSImages/293_Determine%20transformation2.png)
To determine transformation AV which align vector V with the vector K along the positive z-axis.
![1251_Determine transformation.png](https://www.expertsmind.com/CMSImages/1251_Determine%20transformation.png)
Figure
Vector V may be aligned with the vector through the following sequence of transformation.
Rotate around x-axis by an Angle θ1 (Vector V1)
From above Figure
![2409_Determine transformation3.png](https://www.expertsmind.com/CMSImages/2409_Determine%20transformation3.png)
So the needed rotation about x-axis.
![866_Determine transformation4.png](https://www.expertsmind.com/CMSImages/866_Determine%20transformation4.png)
Applying the rotation to vector V generates vector
![](data:image/png;base64,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)
As V = J + K ∴ a = 0, b = 1 and c = 1.
![80_Determine transformation5.png](https://www.expertsmind.com/CMSImages/80_Determine%20transformation5.png)
Coordinates of the rotated figure may be found by applying Rθ, L to the matrix of homogeneous coordinates of vertices A, B, C and D.
? ?
∴ We can find Rθ L . C .
![42_Determine transformation6.png](https://www.expertsmind.com/CMSImages/42_Determine%20transformation6.png)