How Can I Decompose a 3x3 Rotation Matrix into a Product of 3 Rotations?

In summary, rotation decomposition is a mathematical concept used in computer graphics and animation to break down a rotation into simpler rotations. It works by breaking down a rotation into a sequence of smaller rotations around different axes, known as the Euler rotation theorem. Some benefits of using rotation decomposition include efficient and accurate representation of complex rotations and easier manipulation and animation of 3D objects. However, there are limitations, such as difficulty representing large rotations around multiple axes and the need for a solid understanding of mathematical concepts. Rotation decomposition has various real-world applications, including computer graphics, robotics, and physics simulations, where it is used to accurately model and animate movements in 3D space.
  • #1
Cristi-Tota
1
0
Hi,

How can I decompose a 3x3 rotation matrix R, into a form:

R = rot(v3,c) X rot(v2,b) X rot(v1,a)

where v1,v2,v3 are known unit length axes (with angles a,b,c unknowns)?

Thank you,
Cristian
 
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  • #3


Hi Cristian,

Decomposing a 3x3 rotation matrix into a product of 3 rotations is known as the Euler angle decomposition method. This method involves finding the Euler angles, which are the rotations around each axis, that make up the original rotation matrix.

To decompose the rotation matrix R, we can use the following steps:

1. Find the rotation angle a: The first step is to find the rotation angle a around the first axis, which is v1. This can be done by using the formula: a = atan2(R(3,2), R(3,3)).

2. Find the rotation angle b: The second step is to find the rotation angle b around the second axis, which is v2. This can be done by using the formula: b = atan2(-R(3,1), sqrt(R(3,2)^2 + R(3,3)^2)).

3. Find the rotation angle c: The final step is to find the rotation angle c around the third axis, which is v3. This can be done by using the formula: c = atan2(R(2,1), R(1,1)).

Once we have the Euler angles a,b,c, we can construct the rotation matrix R by using the following formula:

R = rot(v3,c) X rot(v2,b) X rot(v1,a)

where rot(v3,c) represents the rotation around the third axis by angle c, rot(v2,b) represents the rotation around the second axis by angle b, and rot(v1,a) represents the rotation around the first axis by angle a.

I hope this helps. Let me know if you have any further questions.


 

Related to How Can I Decompose a 3x3 Rotation Matrix into a Product of 3 Rotations?

1. What is rotation decomposition?

Rotation decomposition is a mathematical concept used to break down a rotation into a combination of simpler rotations. It is commonly used in computer graphics and animation to represent complex movements.

2. How does rotation decomposition work?

Rotation decomposition works by breaking down a rotation into a sequence of smaller rotations around different axes. This is known as the Euler rotation theorem and is based on the idea that any rotation can be expressed as a combination of three basic rotations: roll, pitch, and yaw.

3. What are the benefits of using rotation decomposition?

One of the main benefits of rotation decomposition is that it allows for more efficient and accurate representation of complex rotations. It also makes it easier to manipulate and animate 3D objects in computer graphics, as the individual rotations can be easily separated and modified.

4. Are there any limitations to rotation decomposition?

While rotation decomposition is a useful tool, it does have some limitations. For example, it may not accurately represent certain types of rotations, such as large rotations around multiple axes. It also requires a solid understanding of mathematical concepts and can be difficult to visualize for some individuals.

5. How is rotation decomposition used in real-world applications?

Rotation decomposition has a wide range of applications, including computer graphics, robotics, and physics simulations. It is used to accurately model and animate movements of objects in 3D space, such as in video games and animated films. It is also used in the development of robotic arms and other mechanical systems that require precise movements and rotations.

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