Contents:
1. Intro
2. Requirements
3. Running
4. License
1. Intro
This is a collection of code I've put together to detect SIFT features in
images. It includes a SIFT function library as well as some executables
to detect, match, and display keypoints. For more information on SIFT,
refer to the paper by Lowe:
Lowe, D. Distinctive image features from scale-invariant keypoints.
International Journal of Computer Vision, 60, 2 (2004), pp.91--110.
Or see Lowe's website:
http://www.cs.ubc.ca/~lowe/keypoints/
Some of the code also works with affine-invariant features from the code
by the VGG at oxford:
http://www.robots.ox.ac.uk:5000/~vgg/research/affine/index.html
Also included is a library containing functions to compute transforms from
image features using RANSAC. See match.c for an example of how to use
the RANSAC functions.
/************************************************************************/
2. Requirements
All code in this package requires the OpenCV library (known working
version is 1.0.0):
http://sourceforge.net/projects/opencvlibrary/
Some functions require the Gnu Scientific Library (GSL) (known working
version is 1.8):
(Linux) http://www.gnu.org/software/gsl/
(Windows) http://gnuwin32.sourceforge.net/packages/gsl.htm
/************************************************************************/
3. Running
The following is a list of directories that contain VC++.NET projects
and the functions of the projects:
*siftFeat -- Detect SIFT features
*match -- Find and match SIFT features in two images
*dspFeat -- Display features from a file
You can mess with the global variables in each of the main C files to
adjust parameters, including input and output files. You might also have
to adjust the project properties depending on how you installed OpenCV
and GSL.
/************************************************************************/
4. License
The SIFT algorithm is Patented in the U.S. by the University of British
Columbia. Thus, the SIFT feature detection code in this package may not
be used in any commercial products without permission from UBC. All other
code in this package is Licensed under the GPLv2. See the files
LICENSE.ubc.txt and LICENSE.txt for more info.
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SIFT 源码(结合OpenCV)
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png:17个
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SIFT源码,是在VC6.0下,结合OpenCV写的一个代码,具有权威性
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SIFT.rar (85个子文件)
sift-1.1.1_20070330_win
siftFeat
siftFeat.sln 905B
siftFeat.ncb 323KB
Debug
siftFeat.suo 9KB
siftFeat.vcproj 7KB
minpq.c 5KB
imgfeatures.c 14KB
ChangeLog.txt 672B
beaver_xform.png 39KB
dspFeat
dspFeat.sln 903B
dspFeat.vcproj 7KB
dspFeat.ncb 307KB
utils.c 7KB
LICENSE.ubc.txt 1KB
THANKS.txt 413B
kdtree.h 3KB
docs
html
sift_8h.html 13KB
tabs.css 2KB
tab_r.gif 3KB
form_1.png 184B
form_11.png 283B
doxygen.css 8KB
xform_8h.html 21KB
globals_type.html 2KB
form_8.png 425B
utils_8h.html 38KB
form_7.png 205B
form_5.png 176B
form_12.png 642B
form_0.png 323B
imgfeatures_8h.html 12KB
form_6.png 190B
kdtree_8h.html 13KB
form_2.png 177B
structransac__data.html 1KB
files.html 2KB
minpq_8h.html 10KB
form_3.png 247B
globals_defs.html 2KB
form_4.png 257B
tab_b.gif 35B
doxygen.png 1KB
structmin__pq.html 2KB
form_13.png 634B
formula.repository 301B
annotated.html 2KB
form_9.png 291B
functions.html 4KB
structpq__node.html 1KB
structfeature.html 10KB
globals_enum.html 2KB
tab_l.gif 706B
functions_vars.html 4KB
globals.html 8KB
globals_func.html 7KB
index.html 3KB
structdetection__data.html 1KB
structkd__node.html 5KB
form_10.png 192B
utils.h 6KB
sift.h 5KB
sift.c 34KB
kdtree.c 15KB
xform.c 16KB
siftfeat.c 2KB
minpq.h 2KB
beaver.png 48KB
match.c 3KB
README.txt 2KB
LICENSE.txt 18KB
xform.h 6KB
imgfeatures.h 4KB
match
match.vcproj.7.10.old 5KB
_UpgradeReport_Files
UpgradeReport.xslt 12KB
UpgradeReport_Plus.gif 71B
Thumbs.db 4KB
UpgradeReport.css 3KB
UpgradeReport_Minus.gif 69B
match.sln.old 899B
Debug
match.sln 869B
UpgradeLog.XML 4KB
match.vcproj.BIT.EthanHu.user 1KB
match.vcproj 6KB
beaver.sift 43KB
dspfeat.c 984B
www.pudn.com.txt 218B
共 85 条
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资源评论
- wsyycc2012-04-21代码不错。结合opencv,对学习opencv很有帮助
- ss3516204582014-07-31估计版本不对,一直报 无法打开包括文件:“cxcore.h” 错误
- playboy_142012-05-17不知道代码怎样,要一个个函数看,也没有最后的运行文件。代码说明都是英文,牛人啊。 看着代码费劲。
- evenhee2011-09-11感谢分享 代码很详尽!
- echo_evenop2012-07-28挺好的,很详尽,不用自己敲了,
landsuper
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