sift-1.1.1_20070330_win-RobPHess
所属分类：OpenCV
开发工具：Visual C++
文件大小：1550KB
下载次数：22
上传日期：2011-04-30 10:59:22
上 传 者：
henry1986xh
说明： 利用OPENCV来进行经典SIFT算法出来
Rob+Hess 提高匹配的精确性
(Using the classical SIFT algorithm for OPENCV out Rob+ Hess improve the accuracy of matching)
文件列表:
sift-1.1.1_20070330_win-Rob Hess\3.bmp (579006, 2006-12-29)
sift-1.1.1_20070330_win-Rob Hess\4.bmp (579006, 2006-12-29)
sift-1.1.1_20070330_win-Rob Hess\beaver.png (48824, 2006-11-15)
sift-1.1.1_20070330_win-Rob Hess\beaver.sift (43721, 2007-01-20)
sift-1.1.1_20070330_win-Rob Hess\beaver_xform.png (39513, 2006-11-15)
sift-1.1.1_20070330_win-Rob Hess\ChangeLog.txt (672, 2007-03-30)
sift-1.1.1_20070330_win-Rob Hess\docs\html\annotated.html (2110, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\doxygen.css (8055, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\doxygen.png (1281, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\files.html (2177, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\formula.repository (301, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_0.png (323, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_1.png (184, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_10.png (192, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_11.png (283, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_12.png (642, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_13.png (634, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_2.png (177, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_3.png (247, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_4.png (257, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_5.png (176, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_6.png (190, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_7.png (205, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_8.png (425, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\form_9.png (291, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\functions.html (3761, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\functions_vars.html (3662, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\globals.html (8681, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\globals_defs.html (2453, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\globals_enum.html (1670, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\globals_func.html (7136, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\globals_type.html (1644, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\imgfeatures_8h.html (12758, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\index.html (3510, 2006-12-16)
sift-1.1.1_20070330_win-Rob Hess\docs\html\kdtree_8h.html (13422, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\minpq_8h.html (10393, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\sift_8h.html (13741, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\structdetection__data.html (1505, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\structfeature.html (9775, 2006-12-15)
sift-1.1.1_20070330_win-Rob Hess\docs\html\structkd__node.html (4877, 2006-12-15)
... ...
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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