3D Axis Rotation & New Value Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)How to extract Euler angles from a a point in a plane?rotate a roll pitch and yaw using a rotation matrixDisable one angle of rotationRotation about an arbitrary axisRotating a set of anges (pitch/yaw/roll) by another set of angles (pitch/yaw/roll)3D calculate new location of point after rotation around originEuler angle to direction vector which is right?How to calculate relative pitch, roll and yaw given absolutesHow can a 3D rotational transformation between two cartesian coordinate systems be performed?3D Coordinate Rotation Using Roll-Pitch-Yaw

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3D Axis Rotation & New Value



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)How to extract Euler angles from a a point in a plane?rotate a roll pitch and yaw using a rotation matrixDisable one angle of rotationRotation about an arbitrary axisRotating a set of anges (pitch/yaw/roll) by another set of angles (pitch/yaw/roll)3D calculate new location of point after rotation around originEuler angle to direction vector which is right?How to calculate relative pitch, roll and yaw given absolutesHow can a 3D rotational transformation between two cartesian coordinate systems be performed?3D Coordinate Rotation Using Roll-Pitch-Yaw










0












$begingroup$


In a 3D space I want to rotate the origin,just rotating. Let, rotational angles be roll, pitch, yaw.



As it is here.



Now let's say I have a vector 0 i+0 j -9.8 k.



What will be the value the vector given vector for any roll ($alpha$), pitch ($beta$), yaw($gamma$) ?










share|cite|improve this question









$endgroup$











  • $begingroup$
    Have you tried visualizing the vector $langle 0,0,-9.8 rangle$? Are you familiar with viewing matrices as linear transformations? If so, what matrix would correspond to a rotation about any of the axis in $mathbb R^3$?
    $endgroup$
    – Brian
    Apr 2 at 2:12










  • $begingroup$
    No. Can you help me out ?
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 9:35










  • $begingroup$
    I may have found a solution here : Stack-overflow link
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 10:17






  • 1




    $begingroup$
    Maifee, if the above answer suffices, considering post it as an answer to your question so that this post might be removed from the unanswered tab.
    $endgroup$
    – Brian
    Apr 2 at 13:58










  • $begingroup$
    @Brian , I have posted the answer.. I had no idea is it okay to copy-paste answer or not..
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 14:31















0












$begingroup$


In a 3D space I want to rotate the origin,just rotating. Let, rotational angles be roll, pitch, yaw.



As it is here.



Now let's say I have a vector 0 i+0 j -9.8 k.



What will be the value the vector given vector for any roll ($alpha$), pitch ($beta$), yaw($gamma$) ?










share|cite|improve this question









$endgroup$











  • $begingroup$
    Have you tried visualizing the vector $langle 0,0,-9.8 rangle$? Are you familiar with viewing matrices as linear transformations? If so, what matrix would correspond to a rotation about any of the axis in $mathbb R^3$?
    $endgroup$
    – Brian
    Apr 2 at 2:12










  • $begingroup$
    No. Can you help me out ?
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 9:35










  • $begingroup$
    I may have found a solution here : Stack-overflow link
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 10:17






  • 1




    $begingroup$
    Maifee, if the above answer suffices, considering post it as an answer to your question so that this post might be removed from the unanswered tab.
    $endgroup$
    – Brian
    Apr 2 at 13:58










  • $begingroup$
    @Brian , I have posted the answer.. I had no idea is it okay to copy-paste answer or not..
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 14:31













0












0








0


0



$begingroup$


In a 3D space I want to rotate the origin,just rotating. Let, rotational angles be roll, pitch, yaw.



As it is here.



Now let's say I have a vector 0 i+0 j -9.8 k.



What will be the value the vector given vector for any roll ($alpha$), pitch ($beta$), yaw($gamma$) ?










share|cite|improve this question









$endgroup$




In a 3D space I want to rotate the origin,just rotating. Let, rotational angles be roll, pitch, yaw.



As it is here.



Now let's say I have a vector 0 i+0 j -9.8 k.



What will be the value the vector given vector for any roll ($alpha$), pitch ($beta$), yaw($gamma$) ?







geometry 3d






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Apr 2 at 2:05









Maifee Ul AsadMaifee Ul Asad

1177




1177











  • $begingroup$
    Have you tried visualizing the vector $langle 0,0,-9.8 rangle$? Are you familiar with viewing matrices as linear transformations? If so, what matrix would correspond to a rotation about any of the axis in $mathbb R^3$?
    $endgroup$
    – Brian
    Apr 2 at 2:12










  • $begingroup$
    No. Can you help me out ?
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 9:35










  • $begingroup$
    I may have found a solution here : Stack-overflow link
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 10:17






  • 1




    $begingroup$
    Maifee, if the above answer suffices, considering post it as an answer to your question so that this post might be removed from the unanswered tab.
    $endgroup$
    – Brian
    Apr 2 at 13:58










  • $begingroup$
    @Brian , I have posted the answer.. I had no idea is it okay to copy-paste answer or not..
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 14:31
















  • $begingroup$
    Have you tried visualizing the vector $langle 0,0,-9.8 rangle$? Are you familiar with viewing matrices as linear transformations? If so, what matrix would correspond to a rotation about any of the axis in $mathbb R^3$?
    $endgroup$
    – Brian
    Apr 2 at 2:12










  • $begingroup$
    No. Can you help me out ?
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 9:35










  • $begingroup$
    I may have found a solution here : Stack-overflow link
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 10:17






  • 1




    $begingroup$
    Maifee, if the above answer suffices, considering post it as an answer to your question so that this post might be removed from the unanswered tab.
    $endgroup$
    – Brian
    Apr 2 at 13:58










  • $begingroup$
    @Brian , I have posted the answer.. I had no idea is it okay to copy-paste answer or not..
    $endgroup$
    – Maifee Ul Asad
    Apr 2 at 14:31















$begingroup$
Have you tried visualizing the vector $langle 0,0,-9.8 rangle$? Are you familiar with viewing matrices as linear transformations? If so, what matrix would correspond to a rotation about any of the axis in $mathbb R^3$?
$endgroup$
– Brian
Apr 2 at 2:12




$begingroup$
Have you tried visualizing the vector $langle 0,0,-9.8 rangle$? Are you familiar with viewing matrices as linear transformations? If so, what matrix would correspond to a rotation about any of the axis in $mathbb R^3$?
$endgroup$
– Brian
Apr 2 at 2:12












$begingroup$
No. Can you help me out ?
$endgroup$
– Maifee Ul Asad
Apr 2 at 9:35




$begingroup$
No. Can you help me out ?
$endgroup$
– Maifee Ul Asad
Apr 2 at 9:35












$begingroup$
I may have found a solution here : Stack-overflow link
$endgroup$
– Maifee Ul Asad
Apr 2 at 10:17




$begingroup$
I may have found a solution here : Stack-overflow link
$endgroup$
– Maifee Ul Asad
Apr 2 at 10:17




1




1




$begingroup$
Maifee, if the above answer suffices, considering post it as an answer to your question so that this post might be removed from the unanswered tab.
$endgroup$
– Brian
Apr 2 at 13:58




$begingroup$
Maifee, if the above answer suffices, considering post it as an answer to your question so that this post might be removed from the unanswered tab.
$endgroup$
– Brian
Apr 2 at 13:58












$begingroup$
@Brian , I have posted the answer.. I had no idea is it okay to copy-paste answer or not..
$endgroup$
– Maifee Ul Asad
Apr 2 at 14:31




$begingroup$
@Brian , I have posted the answer.. I had no idea is it okay to copy-paste answer or not..
$endgroup$
– Maifee Ul Asad
Apr 2 at 14:31










1 Answer
1






active

oldest

votes


















0












$begingroup$

This answer is directly copied from here (Stack-Overflow).




If you want to rotate a vector you should construct what is known as a rotation matrix.



Rotation in 2D



Say you want to rotate a vector or a point by θ, then trigonometry states that the new coordinates are




x' = x cos θ − y sin θ
y' = x sin θ + y cos θ


To demo this, let's take the cardinal axes of X and Y; when we rotate the X-axis 90° counter-clockwise, we should end up with the X-axis transformed into Y-axis. X-axis as a unit-vector is




unit vector along X axis = <1, 0>
x' = 1 cos 90 − 0 sin 90 = 0
y' = 1 sin 90 + 0 cos 90 = 1
New coordinates of the vector = <x', y'> = <0, 1> => Y-axis.


When you understand this, creating a matrix to do this becomes simple. A matrix is just a mathematical tool to perform this in a comfortable, generalized way so that various transformations like rotation, scale and translation (moving) can be combined and performed in a single step, using one common method. From linear algebra, to rotate a point or vector in 2D, the matrix to be built is




|cos θ −sin θ| |x| = |x cos θ − y sin θ| = |x'|
|sin θ cos θ| |y| |x sin θ + y cos θ| |y'|


Rotation in 3D



That works in 2D, while in 3D we need to take in to account the third axis. Rotating a vector around the origin (a point) in 2D simply means rotating it around the Z-axis (a line) in 3D; since we're rotating around Z-axis its coordinates should kept constant i.e. 0° (the rotation happens on the XY plane in 3D). In 3D rotating around the Z-axis would be




|cos θ −sin θ 0| |x| |x cos θ − y sin θ| |x'|
|sin θ cos θ 0| |y| = |x sin θ + y cos θ| = |y'|
| 0 0 1| |z| | z | |z'|


around the Y-axis would be




| cos θ 0 sin θ| |x| | x cos θ + z sin θ| |x'|
| 0 1 0| |y| = | y | = |y'|
|−sin θ 0 cos θ| |z| |−x sin θ + z cos θ| |z'|


around the X-axis would be




|1 0 0| |x| | x | |x'|
|0 cos θ −sin θ| |y| = |y cos θ − z sin θ| = |y'|
|0 sin θ cos θ| |z| |y sin θ + z cos θ| |z'|


Note that the axis around which rotation is done has no sin or cos elements in the matrix. I hope this makes the rotation case clear.



Composition



The aforementioned matrices rotate an object as if the object is at a distance r = √(x² + y²) from the origin; lookup polar coordinates to know why. This rotation will be with respect to the world space origin. Usually we need to rotate an object around its own frame/pivot and not around the world's. Since not all objects are at the world origin, rotating using these matrices will not give the desired result of rotating around the object's own frame. Hence you need to learn about translation too. You'd first translate (move) the object to world origin (so that the object's origin would align with the world's, thereby making r = 0), perform the rotation with one (or more) of these matrices and then translate it back again to its previous location. The order in which the transforms are applied matters.



I urge you to read about linear and affine transformations and their composition to perform multiple transformations in one shot, before playing with transformations in code. Without understanding the basic maths behind it, debugging transformations would be a nightmare. I found this lecture video to be a very good resource. Another resource is this tutorial on transformations that aims to be intuitive and illustrates the ideas with animation.



Note: This method of performing rotations follows the Euler angle rotation system, which is simpler to teach and to grasp. This works perfectly fine for 2D and for simple 3D cases; but when rotation needs to be performed around all three axes at the same time then Euler angles are not sufficient for this due to an inherent deficiency in this system which manifests itself as Gimbal lock. People resort to Quaternions in such situations, which is more advanced than this but doesn't suffer from Gimbal locks when used correctly.







share|cite|improve this answer











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    1 Answer
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    1 Answer
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    active

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    active

    oldest

    votes









    0












    $begingroup$

    This answer is directly copied from here (Stack-Overflow).




    If you want to rotate a vector you should construct what is known as a rotation matrix.



    Rotation in 2D



    Say you want to rotate a vector or a point by θ, then trigonometry states that the new coordinates are




    x' = x cos θ − y sin θ
    y' = x sin θ + y cos θ


    To demo this, let's take the cardinal axes of X and Y; when we rotate the X-axis 90° counter-clockwise, we should end up with the X-axis transformed into Y-axis. X-axis as a unit-vector is




    unit vector along X axis = <1, 0>
    x' = 1 cos 90 − 0 sin 90 = 0
    y' = 1 sin 90 + 0 cos 90 = 1
    New coordinates of the vector = <x', y'> = <0, 1> => Y-axis.


    When you understand this, creating a matrix to do this becomes simple. A matrix is just a mathematical tool to perform this in a comfortable, generalized way so that various transformations like rotation, scale and translation (moving) can be combined and performed in a single step, using one common method. From linear algebra, to rotate a point or vector in 2D, the matrix to be built is




    |cos θ −sin θ| |x| = |x cos θ − y sin θ| = |x'|
    |sin θ cos θ| |y| |x sin θ + y cos θ| |y'|


    Rotation in 3D



    That works in 2D, while in 3D we need to take in to account the third axis. Rotating a vector around the origin (a point) in 2D simply means rotating it around the Z-axis (a line) in 3D; since we're rotating around Z-axis its coordinates should kept constant i.e. 0° (the rotation happens on the XY plane in 3D). In 3D rotating around the Z-axis would be




    |cos θ −sin θ 0| |x| |x cos θ − y sin θ| |x'|
    |sin θ cos θ 0| |y| = |x sin θ + y cos θ| = |y'|
    | 0 0 1| |z| | z | |z'|


    around the Y-axis would be




    | cos θ 0 sin θ| |x| | x cos θ + z sin θ| |x'|
    | 0 1 0| |y| = | y | = |y'|
    |−sin θ 0 cos θ| |z| |−x sin θ + z cos θ| |z'|


    around the X-axis would be




    |1 0 0| |x| | x | |x'|
    |0 cos θ −sin θ| |y| = |y cos θ − z sin θ| = |y'|
    |0 sin θ cos θ| |z| |y sin θ + z cos θ| |z'|


    Note that the axis around which rotation is done has no sin or cos elements in the matrix. I hope this makes the rotation case clear.



    Composition



    The aforementioned matrices rotate an object as if the object is at a distance r = √(x² + y²) from the origin; lookup polar coordinates to know why. This rotation will be with respect to the world space origin. Usually we need to rotate an object around its own frame/pivot and not around the world's. Since not all objects are at the world origin, rotating using these matrices will not give the desired result of rotating around the object's own frame. Hence you need to learn about translation too. You'd first translate (move) the object to world origin (so that the object's origin would align with the world's, thereby making r = 0), perform the rotation with one (or more) of these matrices and then translate it back again to its previous location. The order in which the transforms are applied matters.



    I urge you to read about linear and affine transformations and their composition to perform multiple transformations in one shot, before playing with transformations in code. Without understanding the basic maths behind it, debugging transformations would be a nightmare. I found this lecture video to be a very good resource. Another resource is this tutorial on transformations that aims to be intuitive and illustrates the ideas with animation.



    Note: This method of performing rotations follows the Euler angle rotation system, which is simpler to teach and to grasp. This works perfectly fine for 2D and for simple 3D cases; but when rotation needs to be performed around all three axes at the same time then Euler angles are not sufficient for this due to an inherent deficiency in this system which manifests itself as Gimbal lock. People resort to Quaternions in such situations, which is more advanced than this but doesn't suffer from Gimbal locks when used correctly.







    share|cite|improve this answer











    $endgroup$

















      0












      $begingroup$

      This answer is directly copied from here (Stack-Overflow).




      If you want to rotate a vector you should construct what is known as a rotation matrix.



      Rotation in 2D



      Say you want to rotate a vector or a point by θ, then trigonometry states that the new coordinates are




      x' = x cos θ − y sin θ
      y' = x sin θ + y cos θ


      To demo this, let's take the cardinal axes of X and Y; when we rotate the X-axis 90° counter-clockwise, we should end up with the X-axis transformed into Y-axis. X-axis as a unit-vector is




      unit vector along X axis = <1, 0>
      x' = 1 cos 90 − 0 sin 90 = 0
      y' = 1 sin 90 + 0 cos 90 = 1
      New coordinates of the vector = <x', y'> = <0, 1> => Y-axis.


      When you understand this, creating a matrix to do this becomes simple. A matrix is just a mathematical tool to perform this in a comfortable, generalized way so that various transformations like rotation, scale and translation (moving) can be combined and performed in a single step, using one common method. From linear algebra, to rotate a point or vector in 2D, the matrix to be built is




      |cos θ −sin θ| |x| = |x cos θ − y sin θ| = |x'|
      |sin θ cos θ| |y| |x sin θ + y cos θ| |y'|


      Rotation in 3D



      That works in 2D, while in 3D we need to take in to account the third axis. Rotating a vector around the origin (a point) in 2D simply means rotating it around the Z-axis (a line) in 3D; since we're rotating around Z-axis its coordinates should kept constant i.e. 0° (the rotation happens on the XY plane in 3D). In 3D rotating around the Z-axis would be




      |cos θ −sin θ 0| |x| |x cos θ − y sin θ| |x'|
      |sin θ cos θ 0| |y| = |x sin θ + y cos θ| = |y'|
      | 0 0 1| |z| | z | |z'|


      around the Y-axis would be




      | cos θ 0 sin θ| |x| | x cos θ + z sin θ| |x'|
      | 0 1 0| |y| = | y | = |y'|
      |−sin θ 0 cos θ| |z| |−x sin θ + z cos θ| |z'|


      around the X-axis would be




      |1 0 0| |x| | x | |x'|
      |0 cos θ −sin θ| |y| = |y cos θ − z sin θ| = |y'|
      |0 sin θ cos θ| |z| |y sin θ + z cos θ| |z'|


      Note that the axis around which rotation is done has no sin or cos elements in the matrix. I hope this makes the rotation case clear.



      Composition



      The aforementioned matrices rotate an object as if the object is at a distance r = √(x² + y²) from the origin; lookup polar coordinates to know why. This rotation will be with respect to the world space origin. Usually we need to rotate an object around its own frame/pivot and not around the world's. Since not all objects are at the world origin, rotating using these matrices will not give the desired result of rotating around the object's own frame. Hence you need to learn about translation too. You'd first translate (move) the object to world origin (so that the object's origin would align with the world's, thereby making r = 0), perform the rotation with one (or more) of these matrices and then translate it back again to its previous location. The order in which the transforms are applied matters.



      I urge you to read about linear and affine transformations and their composition to perform multiple transformations in one shot, before playing with transformations in code. Without understanding the basic maths behind it, debugging transformations would be a nightmare. I found this lecture video to be a very good resource. Another resource is this tutorial on transformations that aims to be intuitive and illustrates the ideas with animation.



      Note: This method of performing rotations follows the Euler angle rotation system, which is simpler to teach and to grasp. This works perfectly fine for 2D and for simple 3D cases; but when rotation needs to be performed around all three axes at the same time then Euler angles are not sufficient for this due to an inherent deficiency in this system which manifests itself as Gimbal lock. People resort to Quaternions in such situations, which is more advanced than this but doesn't suffer from Gimbal locks when used correctly.







      share|cite|improve this answer











      $endgroup$















        0












        0








        0





        $begingroup$

        This answer is directly copied from here (Stack-Overflow).




        If you want to rotate a vector you should construct what is known as a rotation matrix.



        Rotation in 2D



        Say you want to rotate a vector or a point by θ, then trigonometry states that the new coordinates are




        x' = x cos θ − y sin θ
        y' = x sin θ + y cos θ


        To demo this, let's take the cardinal axes of X and Y; when we rotate the X-axis 90° counter-clockwise, we should end up with the X-axis transformed into Y-axis. X-axis as a unit-vector is




        unit vector along X axis = <1, 0>
        x' = 1 cos 90 − 0 sin 90 = 0
        y' = 1 sin 90 + 0 cos 90 = 1
        New coordinates of the vector = <x', y'> = <0, 1> => Y-axis.


        When you understand this, creating a matrix to do this becomes simple. A matrix is just a mathematical tool to perform this in a comfortable, generalized way so that various transformations like rotation, scale and translation (moving) can be combined and performed in a single step, using one common method. From linear algebra, to rotate a point or vector in 2D, the matrix to be built is




        |cos θ −sin θ| |x| = |x cos θ − y sin θ| = |x'|
        |sin θ cos θ| |y| |x sin θ + y cos θ| |y'|


        Rotation in 3D



        That works in 2D, while in 3D we need to take in to account the third axis. Rotating a vector around the origin (a point) in 2D simply means rotating it around the Z-axis (a line) in 3D; since we're rotating around Z-axis its coordinates should kept constant i.e. 0° (the rotation happens on the XY plane in 3D). In 3D rotating around the Z-axis would be




        |cos θ −sin θ 0| |x| |x cos θ − y sin θ| |x'|
        |sin θ cos θ 0| |y| = |x sin θ + y cos θ| = |y'|
        | 0 0 1| |z| | z | |z'|


        around the Y-axis would be




        | cos θ 0 sin θ| |x| | x cos θ + z sin θ| |x'|
        | 0 1 0| |y| = | y | = |y'|
        |−sin θ 0 cos θ| |z| |−x sin θ + z cos θ| |z'|


        around the X-axis would be




        |1 0 0| |x| | x | |x'|
        |0 cos θ −sin θ| |y| = |y cos θ − z sin θ| = |y'|
        |0 sin θ cos θ| |z| |y sin θ + z cos θ| |z'|


        Note that the axis around which rotation is done has no sin or cos elements in the matrix. I hope this makes the rotation case clear.



        Composition



        The aforementioned matrices rotate an object as if the object is at a distance r = √(x² + y²) from the origin; lookup polar coordinates to know why. This rotation will be with respect to the world space origin. Usually we need to rotate an object around its own frame/pivot and not around the world's. Since not all objects are at the world origin, rotating using these matrices will not give the desired result of rotating around the object's own frame. Hence you need to learn about translation too. You'd first translate (move) the object to world origin (so that the object's origin would align with the world's, thereby making r = 0), perform the rotation with one (or more) of these matrices and then translate it back again to its previous location. The order in which the transforms are applied matters.



        I urge you to read about linear and affine transformations and their composition to perform multiple transformations in one shot, before playing with transformations in code. Without understanding the basic maths behind it, debugging transformations would be a nightmare. I found this lecture video to be a very good resource. Another resource is this tutorial on transformations that aims to be intuitive and illustrates the ideas with animation.



        Note: This method of performing rotations follows the Euler angle rotation system, which is simpler to teach and to grasp. This works perfectly fine for 2D and for simple 3D cases; but when rotation needs to be performed around all three axes at the same time then Euler angles are not sufficient for this due to an inherent deficiency in this system which manifests itself as Gimbal lock. People resort to Quaternions in such situations, which is more advanced than this but doesn't suffer from Gimbal locks when used correctly.







        share|cite|improve this answer











        $endgroup$



        This answer is directly copied from here (Stack-Overflow).




        If you want to rotate a vector you should construct what is known as a rotation matrix.



        Rotation in 2D



        Say you want to rotate a vector or a point by θ, then trigonometry states that the new coordinates are




        x' = x cos θ − y sin θ
        y' = x sin θ + y cos θ


        To demo this, let's take the cardinal axes of X and Y; when we rotate the X-axis 90° counter-clockwise, we should end up with the X-axis transformed into Y-axis. X-axis as a unit-vector is




        unit vector along X axis = <1, 0>
        x' = 1 cos 90 − 0 sin 90 = 0
        y' = 1 sin 90 + 0 cos 90 = 1
        New coordinates of the vector = <x', y'> = <0, 1> => Y-axis.


        When you understand this, creating a matrix to do this becomes simple. A matrix is just a mathematical tool to perform this in a comfortable, generalized way so that various transformations like rotation, scale and translation (moving) can be combined and performed in a single step, using one common method. From linear algebra, to rotate a point or vector in 2D, the matrix to be built is




        |cos θ −sin θ| |x| = |x cos θ − y sin θ| = |x'|
        |sin θ cos θ| |y| |x sin θ + y cos θ| |y'|


        Rotation in 3D



        That works in 2D, while in 3D we need to take in to account the third axis. Rotating a vector around the origin (a point) in 2D simply means rotating it around the Z-axis (a line) in 3D; since we're rotating around Z-axis its coordinates should kept constant i.e. 0° (the rotation happens on the XY plane in 3D). In 3D rotating around the Z-axis would be




        |cos θ −sin θ 0| |x| |x cos θ − y sin θ| |x'|
        |sin θ cos θ 0| |y| = |x sin θ + y cos θ| = |y'|
        | 0 0 1| |z| | z | |z'|


        around the Y-axis would be




        | cos θ 0 sin θ| |x| | x cos θ + z sin θ| |x'|
        | 0 1 0| |y| = | y | = |y'|
        |−sin θ 0 cos θ| |z| |−x sin θ + z cos θ| |z'|


        around the X-axis would be




        |1 0 0| |x| | x | |x'|
        |0 cos θ −sin θ| |y| = |y cos θ − z sin θ| = |y'|
        |0 sin θ cos θ| |z| |y sin θ + z cos θ| |z'|


        Note that the axis around which rotation is done has no sin or cos elements in the matrix. I hope this makes the rotation case clear.



        Composition



        The aforementioned matrices rotate an object as if the object is at a distance r = √(x² + y²) from the origin; lookup polar coordinates to know why. This rotation will be with respect to the world space origin. Usually we need to rotate an object around its own frame/pivot and not around the world's. Since not all objects are at the world origin, rotating using these matrices will not give the desired result of rotating around the object's own frame. Hence you need to learn about translation too. You'd first translate (move) the object to world origin (so that the object's origin would align with the world's, thereby making r = 0), perform the rotation with one (or more) of these matrices and then translate it back again to its previous location. The order in which the transforms are applied matters.



        I urge you to read about linear and affine transformations and their composition to perform multiple transformations in one shot, before playing with transformations in code. Without understanding the basic maths behind it, debugging transformations would be a nightmare. I found this lecture video to be a very good resource. Another resource is this tutorial on transformations that aims to be intuitive and illustrates the ideas with animation.



        Note: This method of performing rotations follows the Euler angle rotation system, which is simpler to teach and to grasp. This works perfectly fine for 2D and for simple 3D cases; but when rotation needs to be performed around all three axes at the same time then Euler angles are not sufficient for this due to an inherent deficiency in this system which manifests itself as Gimbal lock. People resort to Quaternions in such situations, which is more advanced than this but doesn't suffer from Gimbal locks when used correctly.








        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Apr 2 at 15:35









        Brian

        1,499416




        1,499416










        answered Apr 2 at 14:30









        Maifee Ul AsadMaifee Ul Asad

        1177




        1177



























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