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体验新版 GitCode,发现更多精彩内容 >>
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e1378aad
编写于
3月 27, 2012
作者:
I
Ilya Lysenkov
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电子邮件补丁
差异文件
Added a check that Q reprojects to the same 3D points as reconstructed by triangulation (#1575)
上级
bc7b517e
变更
1
隐藏空白更改
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1 changed file
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and
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+47
-0
modules/calib3d/test/test_cameracalibration.cpp
modules/calib3d/test/test_cameracalibration.cpp
+47
-0
未找到文件。
modules/calib3d/test/test_cameracalibration.cpp
浏览文件 @
e1378aad
...
...
@@ -1496,6 +1496,53 @@ void CV_StereoCalibrationTest::run( int )
ts
->
set_failed_test_info
(
cvtest
::
TS
::
FAIL_INVALID_OUTPUT
);
}
//check that Q reprojects the same points as reconstructed by triangulation
const
float
minCoord
=
-
300.0
f
;
const
float
maxCoord
=
300.0
f
;
const
float
minDisparity
=
0.1
f
;
const
float
maxDisparity
=
600.0
f
;
const
int
pointsCount
=
500
;
const
float
requiredAccuracy
=
1e-3
;
RNG
&
rng
=
ts
->
get_rng
();
Mat
projectedPoints_1
(
2
,
pointsCount
,
CV_32FC1
);
Mat
projectedPoints_2
(
2
,
pointsCount
,
CV_32FC1
);
Mat
disparities
(
1
,
pointsCount
,
CV_32FC1
);
rng
.
fill
(
projectedPoints_1
,
RNG
::
UNIFORM
,
minCoord
,
maxCoord
);
rng
.
fill
(
disparities
,
RNG
::
UNIFORM
,
minDisparity
,
maxDisparity
);
projectedPoints_2
.
row
(
0
)
=
projectedPoints_1
.
row
(
0
)
-
disparities
;
Mat
ys_2
=
projectedPoints_2
.
row
(
1
);
projectedPoints_1
.
row
(
1
).
copyTo
(
ys_2
);
const
int
dimension
=
4
;
Mat
points4d
(
dimension
,
pointsCount
,
CV_32FC1
);
CvMat
cvPoints4d
=
points4d
;
CvMat
cvP1
=
P1
;
CvMat
cvP2
=
P2
;
CvMat
cvPoints1
=
projectedPoints_1
;
CvMat
cvPoints2
=
projectedPoints_2
;
cvTriangulatePoints
(
&
cvP1
,
&
cvP2
,
&
cvPoints1
,
&
cvPoints2
,
&
cvPoints4d
);
Mat
homogeneousPoints4d
=
points4d
.
t
();
homogeneousPoints4d
=
homogeneousPoints4d
.
reshape
(
dimension
);
Mat
triangulatedPoints
;
convertPointsFromHomogeneous
(
homogeneousPoints4d
,
triangulatedPoints
);
Mat
sparsePoints
;
sparsePoints
.
push_back
(
projectedPoints_1
);
sparsePoints
.
push_back
(
disparities
);
sparsePoints
=
sparsePoints
.
t
();
sparsePoints
=
sparsePoints
.
reshape
(
3
);
Mat
reprojectedPoints
;
perspectiveTransform
(
sparsePoints
,
reprojectedPoints
,
Q
);
if
(
norm
(
triangulatedPoints
-
reprojectedPoints
)
/
sqrt
(
pointsCount
)
>
requiredAccuracy
)
{
ts
->
printf
(
cvtest
::
TS
::
LOG
,
"Points reprojected with a matrix Q and points reconstructed by triangulation are different, testcase %d
\n
"
,
testcase
);
ts
->
set_failed_test_info
(
cvtest
::
TS
::
FAIL_INVALID_OUTPUT
);
}
// rectifyUncalibrated
CV_Assert
(
imgpt1
.
size
()
==
imgpt2
.
size
()
);
Mat
_imgpt1
(
total
,
1
,
CV_32FC2
),
_imgpt2
(
total
,
1
,
CV_32FC2
);
...
...
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