I'm currently working on an Augmented reality application. The targetted device being an Optical See-though HMD I need to calibrate its display to achieve a correct registration of virtual objects. I used that implementation of SPAAM for android to do it and the result are precise enough for my purpose.
My problem is, calibration application give in output a 4x4 projection matrix I could have directly use with OpenGL for exemple. But, the Augmented Reality framework I use only accept optical calibration parameters under the format Field of View some parameter + Aspect Ratio some parameter + 4x4 View matrix.
Here is what I have :
Correct calibration result under wrong format :
6.191399, 0.114267, -0.142429, -0.142144
-0.100027, 11.791289, 0.05604, 0.055928
0.217304,-0.486923, -0.990243, -0.988265
0.728104, 0.005347, -0.197072, 0.003122
You can take a look at the code that generate this result here.
What I understand is the Single Point Active Alignment Method produce a 3x4 matrix, then the program multiply this matrice by an orthogonal projection matrix to get the result above. Here are the param used to produce the orthogonal matrix :
near : 0.1, far : 100.0, right : 960, left : 0, top : 540, bottom: 0
Bad calibration result under right format :
Param 1 : 12.465418
Param 2 : 1.535465
0.995903, -0.046072, 0.077501, 0.000000
0.050040, 0.994671, -0.047959, 0.000000
-0.075318, 0.051640, 0.992901, 0.000000
114.639359, -14.115030, -24.993097, 1.000000
I don't have any information on how these result are obtained.
I read these parameters from binary files, and I don't know if matrices are stored in row or column major form. So the two matrices may have to be transposed.
My question is : Is it possible, and if yes, how to get these three parameters from the projection first matrix I have ?
Is it possible, and if yes, how to get these three parameters from the projection matrix I have ?
The projection matrix and the view matrix describe completely different transformations. While the projection matrix describes the mapping from 3D points of a scene, to 2D points of the viewport, the view matrix describes the direction and position from which the scene is looked at. The view matrix is defined by the camera position and the direction too the target of view and the up vector of the camera.
(see Transform the modelMatrix)
This means it is not possible to get the view matrix from the projection matrix. But the camera defines a view matrix.
If the projection is perspective, then it will be possible to get the field of view angle and the aspect ratio from the projection matrix.
The Perspective Projection Matrix looks like this:
r = right, l = left, b = bottom, t = top, n = near, f = far
2*n/(r-l) 0 0 0
0 2*n/(t-b) 0 0
(r+l)/(r-l) (t+b)/(t-b) -(f+n)/(f-n) -1
0 0 -2*f*n/(f-n) 0
it follows:
aspect = w / h
tanFov = tan( fov_y * 0.5 );
p[0][0] = 2*n/(r-l) = 1.0 / (tanFov * aspect)
p[1][1] = 2*n/(t-b) = 1.0 / tanFov
The field of view angle along the Y-axis in degrees:
fov = 2.0*atan( 1.0/prjMatrix[1][1] ) * 180.0 / PI;
The aspect ratio:
aspect = prjMatrix[1][1] / prjMatrix[0][0];
See further the answers to the following question:
来源：https://stackoverflow.com/questions/46182845/field-of-view-aspect-ratio-view-matrix-from-projection-matrix-hmd-ost-calib