I'm trying to put an oriented bounding box around the stamford rabbit for a project. To do this, I create a covariance matrix with the vertices and use the eigenvector columns as the new axis vectors for the OBB.
To draw the OBB, I take the cross product of the vector columns with the x,y and z axes to find the vector perpendicular both, then I use the dot product to find the angle between them.
//rv,uv,fv are the normalised column vectors from the eigenvector matrix.
// Calculate cross product for normal
crossv1x[0] = xaxis[1]*rv[2] - xaxis[2]*rv[1];
crossv1x[1] = xaxis[2]*rv[0] - xaxis[0]*rv[2];
crossv1x[2] = xaxis[0]*rv[1] - xaxis[1]*rv[0];
// Calculate cross product for normal
crossv2y[0] = yaxis[1]*uv[2] - yaxis[2]*uv[1];
crossv2y[1] = yaxis[2]*uv[0] - yaxis[0]*uv[2];
crossv2y[2] = yaxis[0]*uv[1] - yaxis[1]*uv[0];
// Calculate cross product for normal
crossv3z[0] = zaxis[1]*fv[2] - zaxis[2]*fv[1];
crossv3z[1] = zaxis[2]*fv[0] - zaxis[0]*fv[2];
crossv3z[2] = zaxis[0]*fv[1] - zaxis[1]*fv[0];
//dot product:
thetaX = dot(xaxis,rv,1)*180/PI;
thetaY = dot(yaxis,uv,1)*180/PI;
thetaZ = dot(zaxis,fv,1)*180/PI;
I then apply a rotation around the cross product vector with an angle determined by the dot product (glRotatef(angle,cross[0],cross1,cross[2]) for each axis). I then draw an axis aligned bounding box, then to the inverse rotation back to the original position.
glRotatef(thetaY,crossv2y[0],crossv2y[1],crossv2y[2]);
glRotatef(thetaZ,crossv3z[0],crossv3z[1],crossv3z[2]);
glRotatef(thetaX,crossv1x[0],crossv1x[1],crossv1x[2]);
glTranslatef(-meanX, -meanY, -meanZ);
glColor3f(1.0f,0.0f,0.0f);
AOBB(1); //Creates an axis aligned box.
glRotatef(-thetaX,crossv1x[0],crossv1x[1],crossv1x[2]);
glRotatef(-thetaZ,crossv3z[0],crossv3z[1],crossv3z[2]);
glRotatef(-thetaY,crossv2y[0],crossv2y[1],crossv2y[2]);
As you can see below, the box does not fit exactly onto the rabbit, nor does it align with the axis I have drawn... Am I missing something here? Ive fried my brain trying to find the solution but to no avail...

[(max-min)/2]is not the mean point[sum(x)/nx]! - Ander Biguri