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submodule
opencv
Commits
ce013258
Commit
ce013258
authored
Oct 29, 2010
by
Maria Dimashova
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added possibility of matcher filtering to sample
parent
00ec5552
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1 changed file
with
96 additions
and
28 deletions
+96
-28
descriptor_extractor_matcher.cpp
samples/cpp/descriptor_extractor_matcher.cpp
+96
-28
No files found.
samples/cpp/descriptor_extractor_matcher.cpp
View file @
ce013258
...
...
@@ -11,6 +11,58 @@ using namespace std;
#define DRAW_RICH_KEYPOINTS_MODE 0
#define DRAW_OUTLIERS_MODE 0
const
string
winName
=
"correspondences"
;
enum
{
NONE_FILTER
=
0
,
CROSS_CHECK_FILTER
=
1
};
int
getMatcherFilterType
(
const
string
&
str
)
{
if
(
str
==
"NoneFilter"
)
return
NONE_FILTER
;
if
(
str
==
"CrossCheckFilter"
)
return
CROSS_CHECK_FILTER
;
CV_Assert
(
0
);
return
-
1
;
}
void
simpleMatching
(
Ptr
<
DescriptorMatcher
>&
descriptorMatcher
,
const
Mat
&
descriptors1
,
const
Mat
&
descriptors2
,
vector
<
DMatch
>&
matches12
)
{
vector
<
DMatch
>
matches
;
descriptorMatcher
->
match
(
descriptors1
,
descriptors2
,
matches12
);
}
void
crossCheckMatching
(
Ptr
<
DescriptorMatcher
>&
descriptorMatcher
,
const
Mat
&
descriptors1
,
const
Mat
&
descriptors2
,
vector
<
DMatch
>&
filteredMatches12
,
int
knn
=
1
)
{
filteredMatches12
.
clear
();
vector
<
vector
<
DMatch
>
>
matches12
,
matches21
;
descriptorMatcher
->
knnMatch
(
descriptors1
,
descriptors2
,
matches12
,
knn
);
descriptorMatcher
->
knnMatch
(
descriptors2
,
descriptors1
,
matches21
,
knn
);
for
(
size_t
m
=
0
;
m
<
matches12
.
size
();
m
++
)
{
bool
findCrossCheck
=
false
;
for
(
size_t
fk
=
0
;
fk
<
matches12
[
m
].
size
();
fk
++
)
{
DMatch
forward
=
matches12
[
m
][
fk
];
for
(
size_t
bk
=
0
;
bk
<
matches21
[
forward
.
trainIdx
].
size
();
bk
++
)
{
DMatch
backward
=
matches21
[
forward
.
trainIdx
][
bk
];
if
(
backward
.
trainIdx
==
forward
.
queryIdx
)
{
filteredMatches12
.
push_back
(
forward
);
findCrossCheck
=
true
;
break
;
}
}
if
(
findCrossCheck
)
break
;
}
}
}
void
warpPerspectiveRand
(
const
Mat
&
src
,
Mat
&
dst
,
Mat
&
H
,
RNG
&
rng
)
{
H
.
create
(
3
,
3
,
CV_32FC1
);
...
...
@@ -27,12 +79,10 @@ void warpPerspectiveRand( const Mat& src, Mat& dst, Mat& H, RNG& rng )
warpPerspective
(
src
,
dst
,
H
,
src
.
size
()
);
}
const
string
winName
=
"correspondences"
;
void
doIteration
(
const
Mat
&
img1
,
Mat
&
img2
,
bool
isWarpPerspective
,
vector
<
KeyPoint
>&
keypoints1
,
const
Mat
&
descriptors1
,
Ptr
<
FeatureDetector
>&
detector
,
Ptr
<
DescriptorExtractor
>&
descriptorExtractor
,
Ptr
<
DescriptorMatcher
>&
descriptorMatcher
,
Ptr
<
DescriptorMatcher
>&
descriptorMatcher
,
int
matcherFilter
,
bool
eval
,
double
ransacReprojThreshold
,
RNG
&
rng
)
{
assert
(
!
img1
.
empty
()
);
...
...
@@ -47,7 +97,7 @@ void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
detector
->
detect
(
img2
,
keypoints2
);
cout
<<
keypoints2
.
size
()
<<
" points"
<<
endl
<<
">"
<<
endl
;
if
(
!
H12
.
empty
()
)
if
(
!
H12
.
empty
()
&&
eval
)
{
cout
<<
"< Evaluate feature detector..."
<<
endl
;
float
repeatability
;
...
...
@@ -64,11 +114,18 @@ void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
cout
<<
">"
<<
endl
;
cout
<<
"< Matching descriptors..."
<<
endl
;
vector
<
DMatch
>
matches
;
descriptorMatcher
->
match
(
descriptors1
,
descriptors2
,
matches
,
Mat
()
);
vector
<
DMatch
>
filteredMatches
;
switch
(
matcherFilter
)
{
case
CROSS_CHECK_FILTER
:
crossCheckMatching
(
descriptorMatcher
,
descriptors1
,
descriptors2
,
filteredMatches
,
1
);
break
;
default
:
simpleMatching
(
descriptorMatcher
,
descriptors1
,
descriptors2
,
filteredMatches
);
}
cout
<<
">"
<<
endl
;
if
(
!
H12
.
empty
()
)
if
(
!
H12
.
empty
()
&&
eval
)
{
cout
<<
"< Evaluate descriptor match..."
<<
endl
;
vector
<
Point2f
>
curve
;
...
...
@@ -79,14 +136,17 @@ void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
cout
<<
">"
<<
endl
;
}
vector
<
int
>
trainIdxs
(
matches
.
size
()
);
for
(
size_t
i
=
0
;
i
<
matches
.
size
();
i
++
)
trainIdxs
[
i
]
=
matches
[
i
].
trainIdx
;
vector
<
int
>
queryIdxs
(
filteredMatches
.
size
()
),
trainIdxs
(
filteredMatches
.
size
()
);
for
(
size_t
i
=
0
;
i
<
filteredMatches
.
size
();
i
++
)
{
queryIdxs
[
i
]
=
filteredMatches
[
i
].
queryIdx
;
trainIdxs
[
i
]
=
filteredMatches
[
i
].
trainIdx
;
}
if
(
!
isWarpPerspective
&&
ransacReprojThreshold
>=
0
)
{
cout
<<
"< Computing homography (RANSAC)..."
<<
endl
;
vector
<
Point2f
>
points1
;
KeyPoint
::
convert
(
keypoints1
,
points1
);
vector
<
Point2f
>
points1
;
KeyPoint
::
convert
(
keypoints1
,
points1
,
queryIdxs
);
vector
<
Point2f
>
points2
;
KeyPoint
::
convert
(
keypoints2
,
points2
,
trainIdxs
);
H12
=
findHomography
(
Mat
(
points1
),
Mat
(
points2
),
CV_RANSAC
,
ransacReprojThreshold
);
cout
<<
">"
<<
endl
;
...
...
@@ -95,8 +155,8 @@ void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
Mat
drawImg
;
if
(
!
H12
.
empty
()
)
// filter outliers
{
vector
<
char
>
matchesMask
(
m
atches
.
size
(),
0
);
vector
<
Point2f
>
points1
;
KeyPoint
::
convert
(
keypoints1
,
points1
);
vector
<
char
>
matchesMask
(
filteredM
atches
.
size
(),
0
);
vector
<
Point2f
>
points1
;
KeyPoint
::
convert
(
keypoints1
,
points1
,
queryIdxs
);
vector
<
Point2f
>
points2
;
KeyPoint
::
convert
(
keypoints2
,
points2
,
trainIdxs
);
Mat
points1t
;
perspectiveTransform
(
Mat
(
points1
),
points1t
,
H12
);
for
(
size_t
i1
=
0
;
i1
<
points1
.
size
();
i1
++
)
...
...
@@ -105,7 +165,7 @@ void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
matchesMask
[
i1
]
=
1
;
}
// draw inliers
drawMatches
(
img1
,
keypoints1
,
img2
,
keypoints2
,
m
atches
,
drawImg
,
CV_RGB
(
0
,
255
,
0
),
CV_RGB
(
0
,
0
,
255
),
matchesMask
drawMatches
(
img1
,
keypoints1
,
img2
,
keypoints2
,
filteredM
atches
,
drawImg
,
CV_RGB
(
0
,
255
,
0
),
CV_RGB
(
0
,
0
,
255
),
matchesMask
#if DRAW_RICH_KEYPOINTS_MODE
,
DrawMatchesFlags
::
DRAW_RICH_KEYPOINTS
#endif
...
...
@@ -115,48 +175,56 @@ void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
// draw outliers
for
(
size_t
i1
=
0
;
i1
<
matchesMask
.
size
();
i1
++
)
matchesMask
[
i1
]
=
!
matchesMask
[
i1
];
drawMatches
(
img1
,
keypoints1
,
img2
,
keypoints2
,
m
atches
,
drawImg
,
CV_RGB
(
0
,
0
,
255
),
CV_RGB
(
255
,
0
,
0
),
matchesMask
,
drawMatches
(
img1
,
keypoints1
,
img2
,
keypoints2
,
filteredM
atches
,
drawImg
,
CV_RGB
(
0
,
0
,
255
),
CV_RGB
(
255
,
0
,
0
),
matchesMask
,
DrawMatchesFlags
::
DRAW_OVER_OUTIMG
|
DrawMatchesFlags
::
NOT_DRAW_SINGLE_POINTS
);
#endif
}
else
drawMatches
(
img1
,
keypoints1
,
img2
,
keypoints2
,
m
atches
,
drawImg
);
drawMatches
(
img1
,
keypoints1
,
img2
,
keypoints2
,
filteredM
atches
,
drawImg
);
imshow
(
winName
,
drawImg
);
}
int
main
(
int
argc
,
char
**
argv
)
{
if
(
argc
!=
4
&&
argc
!=
6
)
if
(
argc
!=
7
&&
argc
!=
8
)
{
cout
<<
"Format:"
<<
endl
;
cout
<<
"case1: second image is obtained from the first (given) image using random generated homography matrix"
<<
endl
;
cout
<<
argv
[
0
]
<<
" [detectorType] [descriptorType] [image1]"
<<
endl
;
cout
<<
argv
[
0
]
<<
" [detectorType] [descriptorType] [matcherType] [matcherFilterType] [image] [evaluate(0 or 1)]"
<<
endl
;
cout
<<
"Example:"
<<
endl
;
cout
<<
"./descriptor_extractor_matcher SURF SURF FlannBased NoneFilter cola.jpg 0"
<<
endl
;
cout
<<
endl
;
cout
<<
"case2: both images are given. If ransacReprojThreshold>=0 then homography matrix are calculated"
<<
endl
;
cout
<<
argv
[
0
]
<<
" [detectorType] [descriptorType] [image1] [image2] [ransacReprojThreshold]"
<<
endl
;
cout
<<
argv
[
0
]
<<
" [detectorType] [descriptorType] [
matcherType] [matcherFilterType] [
image1] [image2] [ransacReprojThreshold]"
<<
endl
;
cout
<<
endl
<<
"Mathes are filtered using homography matrix in case1 and case2 (if ransacReprojThreshold>=0)"
<<
endl
;
cout
<<
"Example:"
<<
endl
;
cout
<<
"./descriptor_extractor_matcher SURF SURF BruteForce CrossCheckFilter cola1.jpg cola2.jpg 3"
<<
endl
;
return
-
1
;
}
bool
isWarpPerspective
=
argc
==
4
;
bool
isWarpPerspective
=
argc
==
7
;
double
ransacReprojThreshold
=
-
1
;
if
(
!
isWarpPerspective
)
ransacReprojThreshold
=
atof
(
argv
[
5
]);
ransacReprojThreshold
=
atof
(
argv
[
7
]);
cout
<<
"< Creating detector, descriptor extractor and descriptor matcher ..."
<<
endl
;
Ptr
<
FeatureDetector
>
detector
=
createFeatureDetector
(
argv
[
1
]
);
Ptr
<
DescriptorExtractor
>
descriptorExtractor
=
createDescriptorExtractor
(
argv
[
2
]
);
Ptr
<
DescriptorMatcher
>
descriptorMatcher
=
createDescriptorMatcher
(
"BruteForce"
);
Ptr
<
DescriptorMatcher
>
descriptorMatcher
=
createDescriptorMatcher
(
argv
[
3
]
);
int
mactherFilterType
=
getMatcherFilterType
(
argv
[
4
]
);
bool
eval
=
!
isWarpPerspective
?
false
:
(
atoi
(
argv
[
6
])
==
0
?
false
:
true
);
cout
<<
">"
<<
endl
;
if
(
detector
.
empty
()
||
descriptorExtractor
.
empty
()
||
descriptorMatcher
.
empty
()
)
{
cout
<<
"Can not create detector or descriptor exstractor or descriptor matcher of given types"
<<
endl
;
return
-
1
;
}
}
cout
<<
"< Reading the images..."
<<
endl
;
Mat
img1
=
imread
(
argv
[
3
]
),
img2
;
Mat
img1
=
imread
(
argv
[
5
]
),
img2
;
if
(
!
isWarpPerspective
)
img2
=
imread
(
argv
[
4
]
);
img2
=
imread
(
argv
[
6
]
);
cout
<<
">"
<<
endl
;
if
(
img1
.
empty
()
||
(
!
isWarpPerspective
&&
img2
.
empty
())
)
{
...
...
@@ -177,11 +245,11 @@ int main(int argc, char** argv)
namedWindow
(
winName
,
1
);
RNG
rng
=
theRNG
();
doIteration
(
img1
,
img2
,
isWarpPerspective
,
keypoints1
,
descriptors1
,
detector
,
descriptorExtractor
,
descriptorMatcher
,
detector
,
descriptorExtractor
,
descriptorMatcher
,
mactherFilterType
,
eval
,
ransacReprojThreshold
,
rng
);
for
(;;)
{
char
c
=
(
char
)
cvW
aitKey
(
0
);
char
c
=
(
char
)
w
aitKey
(
0
);
if
(
c
==
'\x1b'
)
// esc
{
cout
<<
"Exiting ..."
<<
endl
;
...
...
@@ -190,7 +258,7 @@ int main(int argc, char** argv)
else
if
(
isWarpPerspective
)
{
doIteration
(
img1
,
img2
,
isWarpPerspective
,
keypoints1
,
descriptors1
,
detector
,
descriptorExtractor
,
descriptorMatcher
,
detector
,
descriptorExtractor
,
descriptorMatcher
,
mactherFilterType
,
eval
,
ransacReprojThreshold
,
rng
);
}
}
...
...
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