Goal:
Move a 3D object as if it is in 2D space (screen). So if the user moves the mouse left the object should move left (the same should apply for all other directions: right, up, down).
Description:
I am working with OpenTK (OpenGL - 3D space)
Since the object itself should always rotate around it's center I first apply the rotation then the translation matrix.
What works
With trying out I was able to get the translation for the x-Axis and y-Axis (both 2d space) working separately.
// works for x-Axis movement
var rotation = _control.Rotation;
// vector is a 2d vector that contains the vector from the mouse drag start position
// (so the pixels the mouse was moved from the drag start to its current position)
// factor is a value that depends on the current zoom value - can be ignored for the problem itself
var xTranslationVector = new Vector3(
vector.X * (float)Math.Cos(rotation.Y) * factor,
0,
vector.X * (float)Math.Sin(rotation.Y) * factor);
// initial value is the original translation on drag start
_control.Translation = initialValue + xTranslationVector;
// vector for y-Axis
var yTranslationVector = new Vector3(0,
-vector.Y * (float) Math.Cos(rotation.X) * factor,
vector.Y * (float) Math.Sin(rotation.X) * factor);
// _control.Translation = initialValue + yTranslationVector;
Both work when used independent from each other.
Questions
How do I need to combine the xTranslationVector and yTranslationVector so that it would work as expected (multiplication doesn't work because any vector component could be 0 which results in no movement at all; addition does not work when the object is rotated around some axis partially)
I would like to understand what I am doing there, what are the mathematical terms i should look for to find explanations?
How can I do the same for rotation (f.e. the object is rotated 45° degrees around the y axis and I want to rotate - currently the object would tilt around it's x axis but i would like to tilt it always as if the object was not rotated around it's x axis - sorry not sure how to word this well)
Related
So I have a sphere. It rotates around a given axis and changes its surface by a sin * cos function.
I also have a bunck of tracticoids at fix points on the sphere. These objects follow the sphere while moving (including the rotation and the change of the surface). But I can't figure out how to make them always perpendicular to the sphere. I have the ponts where the tracticoid connects to the surface of the sphere and its normal vector. The tracticoids are originally orianted by the z axis. So I tried to make it's axis to the given normal vector but I just can't make it work.
This is where i calculate M transformation matrix and its inverse:
virtual void SetModelingTransform(mat4& M, mat4& Minv, vec3 n) {
M = ScaleMatrix(scale) * RotationMatrix(rotationAngle, rotationAxis) * TranslateMatrix(translation);
Minv = TranslateMatrix(-translation) * RotationMatrix(-rotationAngle, rotationAxis) * ScaleMatrix(vec3(1 / scale.x, 1 / scale.y, 1 / scale.z));
}
In my draw function I set the values for the transformation.
_M and _Minv are the matrixes of the sphere so the tracticoids are following the sphere, but when I tried to use a rotation matrix, the tracticoids strated moving on the surface of the sphere.
_n is the normal vector that the tracticoid should follow.
void Draw(RenderState state, float t, mat4 _M, mat4 _Minv, vec3 _n) {
SetModelingTransform(M, Minv, _n);
if (!sphere) {
state.M = M * _M * RotationMatrix(_n.z, _n);
state.Minv = Minv * _Minv * RotationMatrix(-_n.z, _n);
}
else {
state.M = M;
state.Minv = Minv;
}
.
.
.
}
You said your sphere has an axis of rotation, so you should have a vector a aligned with this axis.
Let P = P(t) be the point on the sphere at which your object is positioned. You should also have a vector n = n(t) perpendicular to the surface of the sphere at point P=P(t) for each time-moment t. All vectors are interpreted as column-vectors, i.e. 3 x 1 matrices.
Then, form the matrix
U[][1] = cross(a, n(t)) / norm(cross(a, n(t)))
U[][3] = n(t) / norm(n(t))
U[][2] = cross(U[][3], U[][1])
where for each j=1,2,3 U[][j] is a 3 x 1 vector column. Then
U(t) = [ U[][1], U[][2], U[][3] ]
is a 3 x 3 orthogonal matrix (i.e. it is a 3D rotation around the origin)
For each moment of time t calculate the matrix
M(t) = U(t) * U(0)^T
where ^T is the matrix transposition.
The final transformation that rotates your object from its original position to its position at time t should be
X(t) = P(t) + M(t)*(X - P(0))
I'm not sure if I got your explanations, but here I go.
You have a sphere with a wavy surface. This means that each point on the surface changes its distance to the center of the sphere, like a piece of wood on a wave in the sea changes its distance to the bottom of the sea at that position.
We can tell that the radious R of the sphere is variable at each point/time case.
Now you have a tracticoid (what's a tracticoid?). I'll take it as some object floating on the wave, and following the sphere movements.
Then it seems you're asking as how to make the tracticoid follows both wavy surface and sphere movements.
Well. If we define each movement ("transformation") by a 4x4 matrix it all reduces to combine in the proper order those matrices.
There are some good OpenGL tutorials that teach you about transformations, and how to combine them. See, for example, learnopengl.com.
To your case, there are several transformations to use.
The sphere spins. You need a rotation matrix, let's call it MSR (matrix sphere rotation) and an axis of rotation, ASR. If the sphere also translates then also a MST is needed.
The surface waves, with some function f(lat, long, time) which calculates for those parameters the increment (signed) of the radious. So, Ri = R + f(la,lo,ti)
For the tracticoid, I guess you have some triangles that define a tracticoid. I also guess those triangles are expressed in a "local" coordinates system whose origin is the center of the tracticoid. Your issue comes when you have to position and rotate the tracticoid, right?
You have two options. The first is to rotate the tracticoid to make if aim perpendicular to the sphere and then translate it to follow the sphere rotation. While perfect mathematically correct, I find this option some complicated.
The best option is to make the tracticoid to rotate and translate exactly as the sphere, as if both would share the same origin, the center of the sphere. And then translate it to its current position.
First part is quite easy: The matrix that defines such transformation is M= MST * MSR, if you use the typical OpenGL axis convention, otherwise you need to swap their order. This M is the common part for all objects (sphere & tracticoids).
The second part requires you have a vector Vn that defines the point in the surface, related to the center of the sphere. You should be able to calculate it with the parameters latitude, longitude and the R obtained by f() above, plus the size/2 of the tracticoid (distance from its center to the point where it touches the wave). Use the components of Vn to build a translation matrix MTT
And now, just get the resultant transformation to use with every vertex of the tracticoid: Mt = MTT * M = MTT * MST * MSR
To render the scene you need other two matrices, for the camera (MV) and for the projection (MP). While Mt is for each tracticoid, MV and MP are the same for all objects, including the sphere itself.
I have a spaceship model that I want to move along a circular path. I want the nose of the ship to always point in the direction it is moving in.
Here is the code I have to move it in a circle right now:
glm::mat4 m = glm::mat4(1.0f);
//time
long value_ms = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::time_point_cast<std::chrono::milliseconds>(std::chrono::
high_resolution_clock::now())
.time_since_epoch())
.count();
//translate
m = glm::translate(m, translate);
m = glm::translate(m, glm::vec3(-50, 0, -20));
m = glm::scale(m, glm::vec3(0.025f, 0.025f, 0.025f));
m = glm::translate(m, glm::vec3(1800, 0, 3000));
float speed = .002;
float x = 100 * cos(value_ms * speed); // + 1800;
float y = 0;
float z = 100 * sin(value_ms * speed); // + 3000;
m = glm::translate(m, glm::vec3(x, y, z));
How would I move it so the nose always points ahead? I tried doing glm::rotate with the rotation axis set as x or y or z but I cannot get it to work properly.
First see Understanding 4x4 homogenous transform matrices as I am using terminology and stuff from there...
Its usual to use a transform matrix of object for its navigation purposes and not the other way around ... So you should have a transform matrix M for your space ship that represents its position and orientation in [GCS] (global coordinate system). On top of that is sometimes multiplied another matrix M0 that align your space ship mesh to the first matrix (you know some meshes are not centered around (0,0,0) nor axis aligned...)
Now when you are moving your object you just do local transformations on the M so moving forward is just translating M origin position by a multiple of forward axis basis vector. The same goes for sliding to sides (just use different basis vector) resulting in that the object is alway aligned to where it supposed to be (in respect to movement). The same goes for turns. So going in circle is just moving forward and turning at constant speeds per time iteration step (timer).
You are doing this backwards first you compute position and orientation and then you are trying to make operations resulting in matrix that would do the same... In such case is much much easier to construct the matrix M instead of creating transformations that will create it... So what you need is:
origin position
3 perpendicular (most likely unit) basis vectors
So the origin is your x,y,z position. 2 basis vectors can be obtained from the circle so forward is tangent (or position-last_position) and vector towards circle center cen be used as (right or left). The 3th vector can be obtained by cross product so let assume:
+X axis is right
+Y axis is up
+Z axis is forward
you got:
r=100.0
a=speed*t
pos = (r*cos(a),0.0,r*sin(a))
center = (0.0,0.0,0.0)
so:
Z = (cos(a-0.5*M_PI),0.0,sin(a-0.5*M_PI))
X = (cos(a),0.0,sin(a))-ceneter
Y = cross(X,Z)
O = pos
normalize:
X /= length(X)
Y /= length(Y)
Z /= length(Z)
So now just feed your X,Y,Z,O to your matrix (depending on the conventions you use like multiplication order, direct/inverse matrix, row-major or column-major matrices ...)
so for example like this:
double M[16]=
{
X[0],X[1],X[2],0.0,
Y[0],Y[1],Y[2],0.0,
Z[0],Z[1],Z[2],0.0,
O[0],O[1],O[2],1.0,
};
or:
double M[16]=
{
X[0],Y[0],Z[0],O[0],
X[1],Y[1],Z[1],O[1],
X[2],Y[2],Z[2],O[2],
0.0 ,0.0 ,0.0 ,1.0,
};
And that is all ... The matrix might be transposed, inverted etc based on the conventions you use. Sorry I do not use GLM but the syntax should be very siilar ... the matrix feeding might be even simpler if rows or columns are loadable by a vector ...
I am writing software to determine the viewable locations of a camera in 3D. I have currently implement parts to find the minimum and maximum length of view based on the camera and lenses intrinsic characteristics.
I now need to work out that if the camera is placed at X,Y,Z and is pointing in a direction (two angles, one around the horizontal and one around the vertical axis) what the boundaries the camera can see at are (knowing the viewing angle). The output I would like is 4 3D locations, making a rectangle that show the minimum position, top left, top right, bottom left and bottom right. The same is also required for the maximum positions.
Can anyone help with the geometry to find these points?
Some code I have:
QVector3D CameraPerspective::GetUnitVectorOfCameraAngle()
{
QVector3D inital(0, 1, 0);
QMatrix4x4 rotation_matrix;
// rotate around z axis
rotation_matrix.rotate(_angle_around_z, 0, 0, 1);
//rotate around y axis
rotation_matrix.rotate(_angle_around_x, 1, 0, 0);
inital = inital * rotation_matrix;
return inital;
}
Coordinate CameraPerspective::GetFurthestPointInFront()
{
QVector3D camera_angle_vector = GetUnitVectorOfCameraAngle();
camera_angle_vector.normalize();
QVector3D furthest_point_infront = camera_angle_vector * _camera_information._maximum_distance_mm;
return Coordinate(furthest_point_infront + _position_of_this);
}
Thanks
A complete answer with code will be probably way too long for SO, I hope that this will be enough. In the following we work in homogeneous coordinates.
I have currently implement parts to find the minimum and maximum length of view based on the camera and lenses intrinsic characteristics.
That isn't enough to fully define your camera. You also need a field of view angle and the width/height ratio.
With all these information (near plane + far plane + fov + ratio), you can build a 4x4 matrix known as perspective matrix. Google for it or check here for some references. This matrix maps the pyramidal region of the space which your camera "sees" (usually simply called frustrum) to the [-1,1]x[-1,1]x[-1,1] cube. Call it P.
Now you need a 4x4 camera matrix which transform points in world space to points in camera space. Since you know the camera position and the camera orientation this can be constructed easily (there is no room here to full explain how transformation matrices in homogeneous coordinates work, google for it). Call this matrix C.
Now consider the matrix A = P * C.
This matrix transforms points in world coordinates to points in the perspective space. Your camera will "see" those points if they are inside the [-1,1]x[-1,1]x[-1,1] cube. But you can invert this matrix in order to map points inside the cube to points in world space. So in order to obtain the 8 points you need in world space you can simply do:
y = A^(-1) * x
Where x =
[-1,-1,-1, 1] left - bottom - near
[-1,-1, 1, 1] left - bottom - far
etc.
I am currently dealing with several thousand boxes that i'd like to project onto the screen to determinate their sizes and distances to the camera.
My current approach is to get a sphere representing the box and project that using view and projection matrices and the viewport values.
// PSEUDOCODE
// project box center from world into viewspace
boxCenterInViewSpace = viewMatrix * boxCenter;
// get two points left and right of center
leftPoint = boxCenter - radius;
right = boxCenter + radius;
// project points from view into eye space
leftPoint = projectionMatrix * leftPoint;
rightPoint = projectionMatrix * rightPoint;
// normalize points
leftPoint /= leftPoint.w;
rightPoint /= rightPoint.w;
// move to 0..1 range
leftPoint = leftPoint * 0.5 + 0.5;
rightPoint = rightPoint * 0.5 + 0.5;
// scale to viewport
leftPoint.x = leftPoint.x * viewPort.right + viewPort.left;
leftPoint.y = leftPoint.y * viewPort.bottom + viewPort.top;
rightPoint.x = rightPoint.x * viewPort.right + viewPort.left;
rightPoint.y = rightPoint.y * viewPort.bottom + viewPort.top;
// at this point i check if the node is visible on screen by comparing the points to the viewport
// calculate size
length(rightPoint - leftPoint)
At another point i calculate the distance of the box to the camera.
The first problem is that i won't know if the box is just below the viewport as i just calculate horizontal. Is there a way to project a real sphere onto the screen somehow? Some method that looks like:
float getSizeOfSphereProjectedOnScreen(vec3 midpoint, float radius)
The other question is simpler: In with coordinate space is the z coordinate corresponding to the distance to the camera?
To sum it up i want to calculate:
Is the Box in the view frustum?
What is the size of the Box on the screen?
What is the distance from Box to camera?
To simplify calculations i'd like to use a sphere representation for this but i don't know how to project a sphere.
[Updated]
What is the distance from Box to camera?
In
[which] coordinate space is the z
coordinate corresponding to the
distance to the camera?
The answer is none of the usual spaces. The closest one would be in view space (i.e. after you apply the view matrix but not the projection matrix). In view space, the distance to the camera should be sqrt(x*x + y*y + z*z), because the camera is at the origin. (z would be a reasonable approximation only if |x| and |y| were really small relative to |z|.) This is assuming that knowing the distance from the camera to the center of the box is good enough.
I think if you really wanted a space in which the z coordinate corresponds to the distance to the camera, you'd need to map a spherical locus of points sqrt(x*x + y*y + z*z) = d to a plane z = d. I don't know that you can do that with a matrix.
Is the Box in the view frustum?
What is the size of the Box on the screen?
I think you're on the right track with this, but depending on which direction the camera is facing, your left and right points might not determine how wide the box looks or whether the box intersects the view frustum. See my answer to your other question for a long way to do this.
(This is all in ortho mode, origin is in the top left corner, x is positive to the right, y is positive down the y axis)
I have a rectangle in world space, which can have a rotation m_rotation (in degrees).
I can work with the rectangle fine, it rotates, scales, everything you could want it to do.
The part that I am getting really confused on is calculating the rectangles world coordinates from its local coordinates.
I've been trying to use the formula:
x' = x*cos(t) - y*sin(t)
y' = x*sin(t) + y*cos(t)
where (x, y) are the original points,
(x', y') are the rotated coordinates,
and t is the angle measured in radians
from the x-axis. The rotation is
counter-clockwise as written.
-credits duffymo
I tried implementing the formula like this:
//GLfloat Ax = getLocalVertices()[BOTTOM_LEFT].x * cosf(DEG_TO_RAD( m_orientation )) - getLocalVertices()[BOTTOM_LEFT].y * sinf(DEG_TO_RAD( m_orientation ));
//GLfloat Ay = getLocalVertices()[BOTTOM_LEFT].x * sinf(DEG_TO_RAD( m_orientation )) + getLocalVertices()[BOTTOM_LEFT].y * cosf(DEG_TO_RAD( m_orientation ));
//Vector3D BL = Vector3D(Ax,Ay,0);
I create a vector to the translated point, store it in the rectangles world_vertice member variable. That's fine. However, in my main draw loop, I draw a line from (0,0,0) to the vector BL, and it seems as if the line is going in a circle from the point on the rectangle (the rectangles bottom left corner) around the origin of the world coordinates.
Basically, as m_orientation gets bigger it draws a huge circle around the (0,0,0) world coordinate system origin. edit: when m_orientation = 360, it gets set back to 0.
I feel like I am doing this part wrong:
and t is the angle measured in radians
from the x-axis.
Possibly I am not supposed to use m_orientation (the rectangles rotation angle) in this formula?
Thanks!
edit: the reason I am doing this is for collision detection. I need to know where the coordinates of the rectangles (soon to be rigid bodies) lie in the world coordinate place for collision detection.
What you do is rotation [ special linear transformation] of a vector with angle Q on 2d.It keeps vector length and change its direction around the origin.
[linear transformation : additive L(m + n) = L(m) + L(n) where {m, n} € vector , homogeneous L(k.m) = k.L(m) where m € vector and k € scalar ] So:
You divide your vector into two pieces. Like m[1, 0] + n[0, 1] = your vector.
Then as you see in the image, rotation is made on these two pieces, after that your vector take
the form:
m[cosQ, sinQ] + n[-sinQ, cosQ] = [mcosQ - nsinQ, msinQ + ncosQ]
you can also look at Wiki Rotation
If you try to obtain eye coordinates corresponding to your object coordinates, you should multiply your object coordinates by model-view matrix in opengl.
For M => model view matrix and transpose of [x y z w] is your object coordinates you do:
M[x y z w]T = Eye Coordinate of [x y z w]T
This seems to be overcomplicating things somewhat: typically you would store an object's world position and orientation separately from its set of own local coordinates. Rotating the object is done in model space and therefore the position is unchanged. The world position of each coordinate is the same whether you do a rotation or not - add the world position to the local position to translate the local coordinates to world space.
Any rotation occurs around a specific origin, and the typical sin/cos formula presumes (0,0) is your origin. If the coordinate system in use doesn't currently have (0,0) as the origin, you must translate it to one that does, perform the rotation, then transform back. Usually model space is defined so that (0,0) is the origin for the model, making this step trivial.