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Richard Torenvliet
eos
Commits
497f0530
Commit
497f0530
authored
Nov 20, 2015
by
Patrik Huber
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Added preliminary version of perspective camera estimation. It doesn't really work quite yet.
parent
4bc99179
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include/eos/fitting/detail/nonlinear_camera_estimation_detail.hpp
...eos/fitting/detail/nonlinear_camera_estimation_detail.hpp
+66
-0
include/eos/fitting/nonlinear_camera_estimation.hpp
include/eos/fitting/nonlinear_camera_estimation.hpp
+39
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include/eos/fitting/detail/nonlinear_camera_estimation_detail.hpp
View file @
497f0530
...
...
@@ -119,6 +119,72 @@ private:
int
height
;
};
// Next: PerspectiveCamEsti test
// ret: 3rd entry is the z
// radians
// expects the landmark points to be in opencv convention, i.e. origin TL
glm
::
vec3
project_perspective
(
glm
::
vec3
point
,
float
rot_x_pitch
,
float
rot_y_yaw
,
float
rot_z_roll
,
float
tx
,
float
ty
,
float
tz
,
float
fovy
,
/* fixed params now: */
int
width
,
int
height
)
{
// We could use quaternions in here, to be independent of the RPY... etc convention.
// Then, the user can decompose the quaternion as he wishes to. But then we'd have to estimate 4 parameters?
// This can of course be optimised, but we keep it this way while we're debugging and as long as it's not a performance issue.
auto
rot_mtx_x
=
glm
::
rotate
(
glm
::
mat4
(
1.0
f
),
rot_x_pitch
,
glm
::
vec3
{
1.0
f
,
0.0
f
,
0.0
f
});
auto
rot_mtx_y
=
glm
::
rotate
(
glm
::
mat4
(
1.0
f
),
rot_y_yaw
,
glm
::
vec3
{
0.0
f
,
1.0
f
,
0.0
f
});
auto
rot_mtx_z
=
glm
::
rotate
(
glm
::
mat4
(
1.0
f
),
rot_z_roll
,
glm
::
vec3
{
0.0
f
,
0.0
f
,
1.0
f
});
auto
t_mtx
=
glm
::
translate
(
glm
::
mat4
(
1.0
f
),
glm
::
vec3
{
tx
,
ty
,
tz
});
// glm: Col-major memory layout. [] gives the column
// Note/Todo: Is this the full ortho? n/f missing? or do we need to multiply it with Proj...? See Shirley CG!
// glm::frustum()?
const
float
aspect
=
static_cast
<
float
>
(
width
)
/
height
;
//auto ortho_mtx = glm::ortho(-1.0f * aspect * frustum_scale, 1.0f * aspect * frustum_scale, -1.0f * frustum_scale, 1.0f * frustum_scale);
auto
persp_mtx
=
glm
::
perspective
(
fovy
,
aspect
,
1.0
f
,
2000.0
f
);
glm
::
vec4
viewport
(
0
,
height
,
width
,
-
height
);
// flips y, origin top-left, like in OpenCV
// P = RPY * P
glm
::
vec3
res
=
glm
::
project
(
point
,
t_mtx
*
rot_mtx_z
*
rot_mtx_x
*
rot_mtx_y
,
persp_mtx
,
viewport
);
return
res
;
};
/**
* @brief LevenbergMarquardt cost function for the orthographic camera estimation.
*/
struct
PerspectiveParameterProjection
:
Functor
<
double
>
{
public:
// Creates a new PerspectiveParameterProjection object with given data.
PerspectiveParameterProjection
(
std
::
vector
<
cv
::
Vec2f
>
image_points
,
std
::
vector
<
cv
::
Vec4f
>
model_points
,
int
width
,
int
height
)
:
Functor
<
double
>
(
7
,
image_points
.
size
()),
image_points
(
image_points
),
model_points
(
model_points
),
width
(
width
),
height
(
height
)
{};
// x = current params, fvec = the errors/differences of the proj with current params and the GT (image_points)
int
operator
()(
const
Eigen
::
VectorXd
&
x
,
Eigen
::
VectorXd
&
fvec
)
const
{
const
float
aspect
=
static_cast
<
float
>
(
width
)
/
height
;
for
(
int
i
=
0
;
i
<
values
();
i
++
)
{
// opencv to glm:
glm
::
vec3
point_3d
(
model_points
[
i
][
0
],
model_points
[
i
][
1
],
model_points
[
i
][
2
]);
// projection given current params x:
glm
::
vec3
proj_with_current_param_esti
=
project_perspective
(
point_3d
,
x
[
0
],
x
[
1
],
x
[
2
],
x
[
3
],
x
[
4
],
x
[
5
],
x
[
6
],
width
,
height
);
cv
::
Vec2f
proj_point_2d
(
proj_with_current_param_esti
.
x
,
proj_with_current_param_esti
.
y
);
// diff of current proj to ground truth, our error
auto
diff
=
cv
::
norm
(
proj_point_2d
,
image_points
[
i
]);
// fvec should contain the differences
// don't square it.
fvec
[
i
]
=
diff
;
}
return
0
;
};
private:
std
::
vector
<
cv
::
Vec2f
>
image_points
;
std
::
vector
<
cv
::
Vec4f
>
model_points
;
int
width
;
int
height
;
};
}
/* namespace detail */
}
/* namespace fitting */
}
/* namespace eos */
...
...
include/eos/fitting/nonlinear_camera_estimation.hpp
View file @
497f0530
...
...
@@ -74,6 +74,17 @@ struct OrthographicRenderingParameters
Frustum
frustum
;
};
struct
PerspectiveRenderingParameters
{
float
r_x
;
// Pitch.
float
r_y
;
// Yaw. Positive means subject is looking left (we see her right cheek).
float
r_z
;
// Roll. Positive means the subject's right eye is further down than the other one (he tilts his head to the right).
float
t_x
;
float
t_y
;
float
t_z
;
float
fovy
;
};
/**
* @brief Converts a glm::mat4x4 to a cv::Mat.
*
...
...
@@ -212,6 +223,34 @@ OrthographicRenderingParameters estimate_orthographic_camera(std::vector<cv::Vec
return
OrthographicRenderingParameters
{
static_cast
<
float
>
(
parameters
[
0
]),
static_cast
<
float
>
(
parameters
[
1
]),
static_cast
<
float
>
(
parameters
[
2
]),
static_cast
<
float
>
(
parameters
[
3
]),
static_cast
<
float
>
(
parameters
[
4
]),
camera_frustum
};
};
PerspectiveRenderingParameters
estimate_perspective_camera
(
std
::
vector
<
cv
::
Vec2f
>
image_points
,
std
::
vector
<
cv
::
Vec4f
>
model_points
,
int
width
,
int
height
)
{
using
cv
::
Mat
;
assert
(
image_points
.
size
()
==
model_points
.
size
());
assert
(
image_points
.
size
()
>=
7
);
// Number of correspondence points given needs to be equal to or larger than 7 (7 now, correct?)
const
float
aspect
=
static_cast
<
float
>
(
width
)
/
height
;
// Set up the initial parameter vector and the cost function:
int
num_params
=
7
;
Eigen
::
VectorXd
parameters
;
// [rot_x_pitch, rot_y_yaw, rot_z_roll, t_x, t_y, t_z, fovy]
parameters
.
setConstant
(
num_params
,
0.0
);
// Set all 6 values to zero (except frustum_scale, see next line)
parameters
[
5
]
=
-
1000.0
;
// tz. This is just a rough hand-chosen tz estimate - we could do a lot better. //But it works.
parameters
[
6
]
=
0.55
;
// 45°. This is just a rough hand-chosen fovy estimate - we could do a lot better. //But it works.
detail
::
PerspectiveParameterProjection
cost_function
(
image_points
,
model_points
,
width
,
height
);
// Note: we have analytical derivatives, so we should use them!
Eigen
::
NumericalDiff
<
detail
::
PerspectiveParameterProjection
>
cost_function_with_derivative
(
cost_function
,
0.0001
);
// I had to change the default value of epsfcn, it works well around 0.0001. It couldn't produce the derivative with the default, I guess the changes in the gradient were too small.
Eigen
::
LevenbergMarquardt
<
Eigen
::
NumericalDiff
<
detail
::
PerspectiveParameterProjection
>>
lm
(
cost_function_with_derivative
);
auto
info
=
lm
.
minimize
(
parameters
);
// we could or should use the return value
// 'parameters' contains the solution now.
//Frustum camera_frustum{ -1.0f * aspect * static_cast<float>(parameters[5]), 1.0f * aspect * static_cast<float>(parameters[5]), -1.0f * static_cast<float>(parameters[5]), 1.0f * static_cast<float>(parameters[5]) };
return
PerspectiveRenderingParameters
{
static_cast
<
float
>
(
parameters
[
0
]),
static_cast
<
float
>
(
parameters
[
1
]),
static_cast
<
float
>
(
parameters
[
2
]),
static_cast
<
float
>
(
parameters
[
3
]),
static_cast
<
float
>
(
parameters
[
4
]),
static_cast
<
float
>
(
parameters
[
5
]),
static_cast
<
float
>
(
parameters
[
6
])
};
};
}
/* namespace fitting */
}
/* namespace eos */
...
...
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