Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
Greenplum
Opencv
提交
b769639f
O
Opencv
项目概览
Greenplum
/
Opencv
大约 1 年 前同步成功
通知
7
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
DevOps
流水线
流水线任务
计划
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
O
Opencv
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
DevOps
DevOps
流水线
流水线任务
计划
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
流水线任务
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
提交
b769639f
编写于
11月 24, 2010
作者:
G
Gary Bradski
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Docs for using BRIEF in features2d
上级
d0d7ba99
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
17 addition
and
4 deletion
+17
-4
samples/cpp/brief_match_test.cpp
samples/cpp/brief_match_test.cpp
+17
-4
未找到文件。
samples/cpp/brief_match_test.cpp
浏览文件 @
b769639f
...
...
@@ -15,6 +15,16 @@ using std::cerr;
using
std
::
endl
;
using
std
::
vector
;
void
help
(
char
**
av
)
{
cerr
<<
"usage: "
<<
av
[
0
]
<<
" im1.jpg im2.jpg"
<<
"
\n
"
<<
"This program shows how to use brief to match points in features2d
\n
"
<<
"It takes in two images, finds keypoints and matches them displaying matches and final homography warped results
\n
"
<<
endl
;
}
//Copy (x,y) location of descriptor matches found from KeyPoint data structures into Point2f vectors
void
matches2points
(
const
vector
<
DMatch
>&
matches
,
const
vector
<
KeyPoint
>&
kpts_train
,
const
vector
<
KeyPoint
>&
kpts_query
,
vector
<
Point2f
>&
pts_train
,
vector
<
Point2f
>&
pts_query
)
{
...
...
@@ -36,15 +46,17 @@ float match(const vector<KeyPoint>& kpts_train, const vector<KeyPoint>& kpts_que
{
float
t
=
(
double
)
getTickCount
();
matcher
.
match
(
query
,
train
,
matches
);
matcher
.
match
(
query
,
train
,
matches
);
//Using features2d
return
((
double
)
getTickCount
()
-
t
)
/
getTickFrequency
();
}
int
main
(
int
ac
,
char
**
av
)
{
if
(
ac
!=
3
)
{
cerr
<<
"usage: "
<<
av
[
0
]
<<
" im1.jpg im2.jpg"
<<
endl
;
help
(
av
)
;
return
1
;
}
string
im1_name
,
im2_name
;
...
...
@@ -63,7 +75,7 @@ int main(int ac, char ** av)
double
t
=
(
double
)
getTickCount
();
FastFeatureDetector
detector
(
50
);
BriefDescriptorExtractor
extractor
(
32
);
BriefDescriptorExtractor
extractor
(
32
);
//this is really 32 x 8 matches since they are binary matches packed into bytes
vector
<
KeyPoint
>
kpts_1
,
kpts_2
;
detector
.
detect
(
im1
,
kpts_1
);
...
...
@@ -87,6 +99,7 @@ int main(int ac, char ** av)
cout
<<
"done computing descriptors... took "
<<
t
<<
" seconds"
<<
endl
;
//Do matching with 2 methods using features2d
cout
<<
"matching with BruteForceMatcher<HammingLUT>"
<<
endl
;
BruteForceMatcher
<
HammingLUT
>
matcher
;
vector
<
DMatch
>
matches_lut
;
...
...
@@ -100,7 +113,7 @@ int main(int ac, char ** av)
cout
<<
"done BruteForceMatcher<Hamming> matching. took "
<<
pop_time
<<
" seconds"
<<
endl
;
vector
<
Point2f
>
mpts_1
,
mpts_2
;
matches2points
(
matches_popcount
,
kpts_1
,
kpts_2
,
mpts_1
,
mpts_2
);
matches2points
(
matches_popcount
,
kpts_1
,
kpts_2
,
mpts_1
,
mpts_2
);
//Extract a list of the (x,y) location of the matches
vector
<
uchar
>
outlier_mask
;
Mat
H
=
findHomography
(
Mat
(
mpts_2
),
Mat
(
mpts_1
),
outlier_mask
,
RANSAC
,
1
);
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录