I'm using CML to manage the 3D math in an OpenGL-based interface project I'm making for work. I need to know the width of the viewing frustum at a given distance from the eye point, which is kept as a part of a 4x4 matrix that represents the camera. My goal is to position gui objects along the apparent edge of the viewport, but at some distance into the screen from the near clipping plane.
CML has a function to extract the planes of the frustum, giving them back in Ax + By + Cz + D = 0 form. This frustum is perpendicular to the camera, which isn't necessarily aligned with the z axis of the perspective projection.
I'd like to extract x and z coordinates so as to pin graphical elements to the sides of the screen at different distances from the camera. What is the best way to go about doing it?
Thanks!
This seems to be a duplicate of Finding side length of a cross-section of a pyramid frustum/truncated pyramid, if you already have a cross-section of known width a known distance from the apex. If you don't have that and you want to derive the answer yourself you can follow these steps.
Take two adjacent planes and find
their line of intersection L1. You
can use the steps here. Really
what you need is the direction
vector of the line.
Take two more planes, one the same
as in the previous step, and find
their line of intersection L2.
Note that all planes of the form Ax + By + Cz + D = 0 go through the origin, so you know that L1 and L2
intersect.
Draw yourself a picture of the
direction vectors for L1 and L2,
tails at the origin. These form an
angle; call it theta. Find theta
using the formula for the angle
between two vectors, e.g. here.
Draw a bisector of that angle. Draw
a perpendicular to the bisector at
the distance d you want from the
origin (this creates an isosceles
triangle, bisected into two
congruent right triangles). The
length of the perpendicular is your
desired frustum width w. Note that w is
twice the length of one of the bases
of the right triangles.
Let r be the length of the
hypotenuses of the right triangles.
Then rcos(theta/2)=d and
rsin(theta/2)=w/2, so
tan(theta/2)=(w/2)/d which implies
w=2d*tan(theta/2). Since you know d
and theta, you are done.
Note that we have found the length of one side of a cross-section of a frustrum. This will work with any perpendicular cross-section of any frustum. This can be extended to adapt it to a non-perpendicular cross-section.
Related
I have 2 circles that collide in a certain collision point and under a certain collision angle which I calculate using this formula :
C1(x1,y1) C2(x2,y2)
and the angle between the line uniting their centre and the x axis is
X = arctg (|y2 - y1| / |x2 - x1|)
and what I want is to translate the circle on top under the same angle that collided with the other circle. I mean with the angle X and I don't know what translation coordinates should I give for a proper and a straight translation!
For what I think you mean, here's how to do it cleanly.
Think in vectors.
Suppose the centre of the bottom circle has coordinates (x1,y1), and the centre of the top circle has coordinates (x2,y2). Then define two vectors
support = (x1,y1)
direction = (x2,y2) - (x1,y1)
now, the line between the two centres is fully described by the parametric representation
line = support + k*direction
with k any value in (-inf,+inf). At the initial time, substituting k=1 in the equation above indeed give the coordinates of the top circle. On some later time t, the value of k will have increased, and substituting that new value of k in the equation will give the new coordinates of the centre of the top circle.
How much k increases at value t is equal to the speed of the circle, and I leave that entirely up to you :)
Doing it this way, you never need to mess around with any angles and/or coordinate transformations etc. It even works in 3D (provided you add in z-coordinates everywhere).
I'm doing something where I have a plane in a coord sys A with a set of points already on it. I also have a normal vector in space N. How can I rotate the points on coord sys A so that the underlying plane will have the same normal direction as N?
Wondering if any one has a good idea on how to do this. Thanks
If you have, or can easily compute, the normal vector to the plane that your points are currently in, I think the easiest way to do this will be to rotate around the axis common to the two planes. Here's how I'd go about it:
Let M be the vector normal to your current plane, and N be the vector normal to the plane you want to rotate into. If M == N you can stop now and leave the original points unchanged.
Calculate the rotation angle as
costheta = dot(M,N)/(norm(M)*norm(N))
Calculate the rotation axis as
axis = unitcross(M, N)
where unitcross is a function that performs the cross product and normalizes it to a unit vector, i.e. unitcross(a, b) = cross(a, b) / norm(cross(a, b)). As user1318499 pointed out in a comment, this step can cause an error if M == N, unless your implementation of unitcross returns (0,0,0) when a == b.
Compute the rotation matrix from the axis and angle as
c = costheta
s = sqrt(1-c*c)
C = 1-c
rmat = matrix([ x*x*C+c x*y*C-z*s x*z*C+y*s ],
[ y*x*C+z*s y*y*C+c y*z*C-x*s ]
[ z*x*C-y*s z*y*C+x*s z*z*C+c ])
where x, y, and z are the components of axis. This formula is described on Wikipedia.
For each point, compute its corresponding point on the new plane as
newpoint = dot(rmat, point)
where the function dot performs matrix multiplication.
This is not unique, of course; as mentioned in peterk's answer, there are an infinite number of possible rotations you could make that would transform the plane normal to M into the plane normal to N. This corresponds to the fact that, after you take the steps described above, you can then rotate the plane around N, and your points will be in different places while staying in the same plane. (In other words, each rotation you can make that satisfies your conditions corresponds to doing the procedure described above followed by another rotation around N.) But if you don't care where in the plane your points wind up, I think this rotation around the common axis is the simplest way to just get the points into the plane you want them in.
If you don't have M, but you do have the coordinates of the points in your starting plane relative to an origin in that plane, you can compute the starting normal vector from two points' positions x1 and x2 as
M = cross(x1, x2)
(you can also use unitcross here but it doesn't make any difference). If you have the points' coordinates relative to an origin that is not in the plane, you can still do it, but you'll need three points' positions:
M = cross(x3-x1, x3-x2)
A single vector (your normal - N) will not be enough. You will need another two vectors for the other two dimensions. (Imagine that your 3D space could still rotate/spin around the normal vector, and you need another 2 vectors to nail it down). Once you have the normal and another one on the plane, the 3rd one should be easy to find (left- or right-handed depending on your system).
Make sure all three are normalized (length of 1) and put them in a matrix; use that matrix to transform any point in your 3D space (use matrix multiplication). This should give you the new coordinates.
I'm thinking make a unit vector [0,0,1] and use the dot-product along two planes to find the angle of difference, and shift all your points by those angles. This is assuming you want the z-axis to align with the normal vector, else just use [1,0,0] or [0,1,0] for x and y respectively.
I am trying to find circumcenter of Given Three point of Triangle……..
NOTE: all these three points are with X,Y and Z Co-Ordinate Means points are in 3D
I know that the circumcenter is the point where the right bisectors intersect….
But for that I have to find middle point of each side then the right bisectors and then intersection point of that …..this is long and error some process……
Is there not any formula which just takes as input these three points of triangle and giving us the Circumcenter of Triangle ……?
Thanks………
The wiki page on Circumscribed circle has it in terms of dot and cross products of the three vertex vectors. It also has a formula for the radius of the circle, if you are so interested.
First of all, you need to make sure that points are not collinear. i.e. do not lie in the same line. For that you need to find the direction cosines of the lines made by three points, and if they have same direction cosines, halt, you can't get circle out of it.
For direction cosine please check this article on wikipedia.
(A way of finding coordinate-geometry and geometry -- based on the theorem that, a perpendicular line from center of circle bisects a chord)
Find the equation of the plane.
This equation must reduce to the form
and the direction cosines (of the line perpendicular to plane determines the plane), so direction cosines of the line perpendicular to this line is
given by this link equations -- 8,9,10 (except replace it for l, m, n).
Find the equation of the lines (all three) in 3-d
(x-x1)/l=(y-y1)/m=(z-z1)/n (in terms of direction cosines) or
(x-x1)/(x2-x1)=(y-y1)/(y2-y1)=(z-z1)/(z2-z1)
Now we need to find the equation of line
a) this perpendicular to the line, from 2 (let l1, m1, n1 be direction cosines of this line)
b) must be contained in place from 1 (let l2, m2, n2 be direction cosines of this line perpendicular to plane)
Find and solve (at least two lines) from 3, sure you will be able to find the center of the circle.
How to find out equation ??? as we are finding the circum-center, we will get our points (i.e. it is the midpoint of the two points) and for a) we have
l1*l+m1*m+n1*n = 0 and l2*l+m2*m+n2*n = 0 where l, m, n are direction cosines of our, line, now solving this two equation, we can get l, m interms of n. And we use this found out (x1,y1,z1) and the value of l, m, 1 and we will have out equation.
The other process is to solve the equation given in this equation
https://stackoverflow.com/questions/5725871/solving-the-multiple-math-equations
Which is the deadliest way.
The other method is using the advantage of computer(by iteration) - as I call it (but for this you need to know the range of the coordinates and it consumes lot of memory)
it's like this (You can make it more precise by incrementing at 1/10) but certainly bad way.
for(i=minXrange, i>=maxXrange; i++){
for(j=minYrange, j>=maxYrange; j++){
for(i=minZrange, i>=maxZrange; k++){
if(((x1-i)^2 + (y1-j)^2 + (z1-k)^2) == (x2-i)^2 + (y2-j)^2 + (z2-k)^2) == for z)){
return [i, j, k];
}
}
}
}
I'm not sure if this is the right place to ask, but here goes...
Short version: I'm trying to compute the orientation of a triangle on a plane, formed by the intersection of 3 edges, without explicitly computing the intersection points.
Long version: I need to triangulate a PSLG on a triangle in 3D. The vertices of the PSLG are defined by the intersections of line segments with the plane through the triangle, and are guaranteed to lie within the triangle. Assuming I had the intersection points, I could project to 2D and use a point-line-side (or triangle signed area) test to determine the orientation of a triangle between any 3 intersection points.
The problem is I can't explicitly compute the intersection points because of the floating-point error that accumulates when I find the line-plane intersection. To figure out if the line segments strike the triangle in the first place, I'm using some freely available robust geometric predicates, which give the sign of the volume of a tetrahedron, or equivalently which side of a plane a point lies on. I can determine if the line segment endpoints are on opposite sides of the plane through the triangle, then form tetrahedra between the line segment and each edge of the triangle to determine whether the intersection point lies within the triangle.
Since I can't explicitly compute the intersection points, I'm wondering if there is a way to express the same 2D orient calculation in 3D using only the original points. If there are 3 edges striking the triangle that gives me 9 points in total to play with. Assuming what I'm asking is even possible (using only the 3D orient tests), then I'm guessing that I'll need to form some subset of all the possible tetrahedra between those 9 points. I'm having difficultly even visualizing this, let alone distilling it into a formula or code. I can't even google this because I don't know what the industry standard terminology might be for this type of problem.
Any ideas how to proceed with this? Thanks. Perhaps I should ask MathOverflow as well...
EDIT: After reading some of the comments, one thing that occurs to me... Perhaps if I could fit non-overlapping tetrahedra between the 3 line segments, then the orientation of any one of those that crossed the plane would be the answer I'm looking for. Other than when the edges enclose a simple triangular prism, I'm not sure this sub-problem is solvable either.
EDIT: The requested image.
I am answering this on both MO & SO, expanding the comments I made on MO.
My sense is that no computational trick with signed tetrahedra volumes will avoid the precision issues that are your main concern. This is because, if you have tightly twisted segments, the orientation of the triangle depends on the precise positioning of the cutting plane.
[image removed; see below]
In the above example, the upper plane crosses the segments in the order (a,b,c) [ccw from above]: (red,blue,green), while the lower plane crosses in the reverse order (c,b,a): (green,blue,red). The height
of the cutting plane could be determined by your last bit of precision.
Consequently, I think it makes sense to just go ahead and compute the points of intersection in
the cutting plane, using enough precision to make the computation exact. If your segment endpoints coordinates and plane coefficients have L bits of precision, then there is just a small constant-factor increase needed. Although I am not certain of precisely what that factor is, it is small--perhaps 4. You will not need e.g., L2 bits, because the computation is solving linear equations.
So there will not be an explosion in the precision required to compute this exactly.
Good luck!
(I was prevented from posting the clarifying image because I don't have the reputation. See
the MO answer instead.)
Edit: Do see the MO answer, but here's the image:
I would write symbolic vector equations, you know, with dot and cross products, to find the normal of the intersection triangle. Then, the sign of the dot product of this normal with the initial triangle one gives the orientation. So finally you can express this in a form sign(F(p1,...,p9)), where p1 to p9 are your points and F() is an ugly formula including dot and cross products of differences (pi-pj). Don't know if this can be done simpler, but this general approach does the job.
As I understand it, you have three lines intersecting the plane, and you want to calculate the orientation of the triangle formed by the intersection points, without calculating the intersection points themselves?
If so: you have a plane
N·(x - x0) = 0
and six points...
l1a, l1b, l2a, l2b, l3a, l3b
...forming three lines
l1 = l1a + t(l1b - l1a)
l2 = l2a + u(l2b - l2a)
l3 = l3a + v(l3b - l3a)
The intersection points of these lines to the plane occur at specific values of t, u, v, which I'll call ti, ui, vi
N·(l1a + ti(l1b - l1a) - x0) = 0
N·(x0 - l1a)
ti = ----------------
N·(l1b - l1a)
(similarly for ui, vi)
Then the specific points of intersection are
intersect1 = l1a + ti(l1b - l1a)
intersect2 = l2a + ui(l2b - l2a)
intersect3 = l3a + vi(l3b - l3a)
Finally, the orientation of your triangle is
orientation = direction of (intersect2 - intersect1)x(intersect3 - intersect1)
(x is cross-product) Work backwards plugging the values, and you'll have an equation for orientation based only on N, x0, and your six points.
Let's call your triangle vertices T[0], T[1], T[2], and the first line segment's endpoints are L[0] and L[1], the second is L[2] and L[3], and the third is L[4] and L[5]. I imagine you want a function
int Orient(Pt3 T[3], Pt3 L[6]); // index L by L[2*i+j], i=0..2, j=0..1
which returns 1 if the intersections have the same orientation as the triangle, and -1 otherwise.
The result should be symmetric under interchange of j values, antisymmetric under interchange of i values and T indices. As long as you can compute a quantity with these symmetries, that's all you need.
Let's try
Sign(Product( Orient3D(T[i],T[i+1],L[2*i+0],L[2*i+1]) * -Orient3D(T[i],T[i+1],L[2*i+1],L[2*i+0]) ), i=0..2))
where the product should be taken over cyclic permutations of the indices (modulo 3). I believe this has all the symmetry properties required. Orient3D is Shewchuk's 4-point plane orientation test, which I assume you're using.
I want to calculate the angle between two vectors a and b. Lets assume these are at the origin. This can be done with
theta = arccos(a . b / |a| * |b|)
However arccos gives you the angle in [0, pi], i.e. it will never give you an angle greater than 180 degrees, which is what I want. So how do you find out when the vectors have gone past the 180 degree mark? In 2D I would simply let the sign of the y-component on one of the vectors determine what quadrant the vector is in. But what is the easiest way to do it in 3D?
EDIT: I wanted to keep the question general but here we go. I'm programming this in c and the code I use to get the angle is theta = acos(dot(a, b)/mag(a)*mag(b)) so how would you programmatically determine the orientation?
This works in 2D because you have a plane defined in which you define the rotation.
If you want to do this in 3D, there is no such implicit 2D plane. You could transform your 3D coordinates to a 2D plane going through all three points, and do your calculation inside this plane.
But, there are of course two possible orientations for the plane, and that will affect which angles will be > 180 or smaller.
I came up with the following solution that takes advantage of the direction change of the cross product of the two vectors:
Make a vector n = a X b and normalize it. This vector is normal to the plane spanned by a and b.
Whenever a new angle is calculated compare it with the old normal. In the comparison, treat the old and the current normals as points and compute the distance between them. If this distance is 2 the normal (i.e. the cross product a X b has flipped).
You might want to have a threshold for the distance as the distance after a flip might be shorter than 2, depending on how the vectors a and b are oriented and how often you update the angle.
One solution that you could use:
What you effectively need to do is create a plane that one of the vectors is coplanar to.
Getting the cross product of both vectors will create a plane, then is you get the normal of this plane, you can get the angle between this and the vector you need to get the signed angle for, and you can use the angle to determine the sign.
If the angle is greater than 90 degrees, then it is below the created plane; less than 90 degrees, and it is above.
Depending on cost of calculations, the dot product can be used at this stage instead of the angle.
Just make sure that you always calculate the normals by the same order of vectors.
This is useable more easily if you're using the XYZ axes, and that's what you're comparing against, since you already have the vectors needed for the plane.
There are possbly more efficient solutions, but this is one I came up with.
Edit: clarification of created vectors
a X b = p. This is perpendicular to both a and b.
Then, do either:
a X p or b X p to create another vector that is the normal to the plane created by the 2 vectors. Choice of vector depends on which you're trying to find the angle for.
Strictly speaking, two 3D vectors always have two angles between them - one below or equal to 180, the other over or equal to 180. Arccos gives you one of them, you can get the other by subtracting from 360. Think of it that way: imagine two lines intersect. You have 4 angles there - 2 of one value, 2 of another. What's the angle between the lines? No single answer. Same here. Without some kind of extra criteria, you can not, in theory, tell which of the two angle values should be taken into account.
EDIT: So what you really need is an arbitrary example of fixing an orientation. Here's one: we look from the positive Z direction. If the plane between the two vectors contains the Z axis, we look from the positive Y direction. If the plane is YZ, we look from the positive X direction. I'll think how to express this in coordinate form, then edit again.