文件列表:

sift\beaver.png (30625, 2010-06-20)
sift\beaver_xform.png (19484, 2010-06-20)
sift\ChangeLog (1903, 2010-12-08)
sift\Doxyfile (45594, 2010-06-20)
sift\LICENSE (3206, 2010-06-20)
sift\mainpage (2191, 2010-06-20)
sift\Makefile (452, 2010-06-20)
sift\THANKS (651, 2010-12-08)
sift\bin\siftfeat (99581, 2012-03-04)
sift\bin\match (127488, 2012-03-04)
sift\bin\dspfeat (62470, 2012-03-04)
sift\bin\beaver.png (30625, 2012-03-04)
sift\bin\beaver_xform.png (19484, 2012-03-04)
sift\docs\html\annotated.html (2308, 2012-03-04)
sift\docs\html\bc_s.png (677, 2010-12-08)
sift\docs\html\classes.html (3488, 2012-03-04)
sift\docs\html\closed.png (126, 2010-12-08)
sift\docs\html\doxygen.css (7911, 2012-03-04)
sift\docs\html\doxygen.png (1281, 2012-03-04)
sift\docs\html\files.html (2375, 2012-03-04)
sift\docs\html\formula.repository (301, 2012-03-04)
sift\docs\html\form_0.png (340, 2010-12-08)
sift\docs\html\form_1.png (212, 2010-12-08)
sift\docs\html\form_10.png (215, 2010-12-08)
sift\docs\html\form_11.png (306, 2010-12-08)
sift\docs\html\form_12.png (669, 2010-12-08)
sift\docs\html\form_13.png (629, 2010-12-08)
sift\docs\html\form_2.png (210, 2010-12-08)
sift\docs\html\form_3.png (265, 2010-12-08)
sift\docs\html\form_4.png (280, 2010-12-08)
sift\docs\html\form_5.png (208, 2010-12-08)
sift\docs\html\form_6.png (220, 2010-12-08)
sift\docs\html\form_7.png (222, 2010-12-08)
sift\docs\html\form_8.png (436, 2010-12-08)
sift\docs\html\form_9.png (314, 2010-12-08)
sift\docs\html\functions.html (4171, 2012-03-04)
sift\docs\html\functions_vars.html (4072, 2012-03-04)
sift\docs\html\globals.html (9456, 2012-03-04)
sift\docs\html\globals_defs.html (2752, 2012-03-04)
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1. Intro 2. Requirements 3. Building 4. License 1. Intro This is a collection of code I've put together to detect SIFT features in images and to use SIFT (or other) features to compute image transforms with RANSAC. 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 Check out match.c for an example of how to use the RANSAC function. Try `match beaver.png beaver_xform.png` to see it work. Documentation is included in the docs/ directory. If it is not there, use `make docs` to build it (you need Doxygen). Help is available for executables using the '-h' command line option. /***************************************************************************/ 2. Requirements All code in this package requires the OpenCV library (known working version is 2.0): http://sourceforge.net/projects/opencvlibrary/ Some functions require GDK/GTK+2 (known working version is 2.18.4): http://www.gtk.org/ /***************************************************************************/ 3. Building To build everything, use make: > make This should produce a few executables in bin/, a static library lib/libfeat.a, and some HTML documentation in docs/. You can use the -h argument to get help with any of the executables. libfeat.a can be compiled into your own code using the standard method: > gcc -I/path/to/sift/include/ -L/path/to/sift/lib/ yourcode.c \ -o yourexecutable -lfeat The documentation in docs/ describes all of the functions available in libfeat.a as well as #defines, etc. Use the documentation to determine what header files from include/ to include in your code. You can also individually build any of the executables or libfeat.a, e.g. > make libfeat.a /***************************************************************************/ 4. License See the file LICENSE for more information on the legal terms of the use of this package.

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