Comments (8)
check the matrix first, since the above is not just non-orthonormal, its singular
from linalg.
Typo, I meant {{0,-1,0},{-1,0,0},{0,0,-1}}
(row-ordered)
from linalg.
off topic: note that if the input has a negative determinant. its is a reflection. thus cant be expressed as just a rotation.
from linalg.
testing now I get the right answer:
float3x3 m({ 0,-1,0 }, { -1,0,0 }, { 0,0,-1 });
float4 q = quatfrommat(m);
std::cout << q << std::endl;
gives
-0.707107 0.707107 0 0
I'll test your copy of linalg.h to make sure its the same as mine.
from linalg.
OOps, just realized my test was using my quatfrommat() code instead. , looks like linalg's rotation_quat might be broken. in the meantime, here's some code that works.
inline float4 quatfrommat(const float3x3 &m)
{
float magw = m[0][0] + m[1][1] + m[2][2];
float magxy;
float magzw;
float3 pre;
float3 prexy;
float3 prezw;
bool wvsz = magw > m[2][2];
magzw = wvsz ? magw : m[2][2];
prezw = wvsz ? float3(1, 1, 1) : float3(-1, -1, 1);
auto postzw = wvsz ? float4(0, 0, 0, 1) : float4(0, 0, 1, 0);
bool xvsy = m[0][0] > m[1][1];
magxy = xvsy ? m[0][0] : m[1][1];
prexy = xvsy ? float3(1, -1, -1) : float3(-1, 1, -1);
auto postxy = xvsy ? float4(1, 0, 0, 0) : float4(0, 1, 0, 0);
bool zwvsxy = magzw > magxy;
pre = zwvsxy ? prezw : prexy;
auto post = zwvsxy ? postzw : postxy;
float t = pre.x * m[0][0] + pre.y * m[1][1] + pre.z * m[2][2] + 1;
float s = 1 / sqrt(t) / 2;
float4 qp
{
(pre.y * m[1][2] - pre.z * m[2][1]) * s,
(pre.z * m[2][0] - pre.x * m[0][2]) * s,
(pre.x * m[0][1] - pre.y * m[1][0]) * s,
t * s
};
return qmul(qp, post);
}
from linalg.
Good catch. This is a numerical stability issue in my implementation related to exact 90 degree rotations.
I've added a failing test case for now while I investigate my options. Stan's function works perfectly, to the best of my knowledge. I'd like to see if I can come up with something a little terser, but definitely make use of his function if you have an immediate need.
from linalg.
And it looks like we've got it! Do let me know if you encounter any other corner cases, and I apologize for the inconvenience.
from linalg.
wow that implementation is definitely clean and compact. very nice.
thx
from linalg.
Related Issues (20)
- Reduction functions for matrices? HOT 2
- Identity() HOT 3
- User Code Extensions HOT 3
- Undefined behavior on operator[] overload prevents use in constexpr context HOT 3
- Fix semantics of operator overloads on matrices. HOT 4
- Finish documentation for `v3` branch. HOT 1
- Impossible to create row vectors HOT 5
- Question about column order. HOT 1
- Doesn't build on MSVC 2017 HOT 3
- Future usability wishlist HOT 4
- `mul()` gives wrong answer? HOT 1
- Feature request: Disable operator * for matrices? HOT 2
- Initializing a std::array of vecs HOT 3
- glm::lookAt equivalent? HOT 10
- `using namespace linalg::ostream_overloads` sometimes does not work. HOT 1
- Suggestion: projection_onto() and rejection_from() functions for vectors HOT 1
- Convert a mat4 to a mat3 and back
- Compilation with clang fails on OS X (error: ambiguous call to std::abs()) HOT 1
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from linalg.