Gauss-Pyramid-sift_openvc
所属分类：OpenCV
开发工具：Visual C++
文件大小：17395KB
下载次数：8
上传日期：2013-05-22 18:57:20
上 传 者：
cgf_909
说明： 用opencv实现了高斯金字塔，得到了图像的sift特征点，并得到了不同高斯尺度下得图形
(Gaussian pyramid with opencv obtained image sift feature point, and has been obtained under different graphical Gaussian scale)
文件列表:
显示高斯金字塔sift_openvc (0, 2012-11-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win (0, 2012-11-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\ChangeLog.txt (1160, 2008-03-24)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\LICENSE.txt (18854, 2006-11-15)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\LICENSE.ubc.txt (1112, 2006-11-15)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\THANKS.txt (549, 2007-11-08)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\beaver.png (48824, 2006-11-15)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\beaver.sift (43721, 2007-01-20)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\beaver_xform.png (39513, 2006-11-15)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs (0, 2012-11-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html (0, 2012-11-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\annotated.html (2448, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\doxygen.css (8077, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\doxygen.png (1281, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\files.html (2295, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_0.png (323, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_1.png (184, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_10.png (192, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_11.png (283, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_12.png (642, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_13.png (634, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_2.png (177, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_3.png (247, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_4.png (257, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_5.png (176, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_6.png (190, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_7.png (205, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_8.png (425, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\form_9.png (291, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\formula.repository (301, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\functions.html (3800, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\functions_vars.html (3701, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\globals.html (7360, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\globals_func.html (7048, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\globals_type.html (1520, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\imgfeatures_8h.html (14039, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\index.html (3505, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\kdtree_8h.html (13953, 2007-09-13)
显示高斯金字塔sift_openvc\sift-1.1.1_20071108_win\docs\html\minpq_8h.html (10752, 2007-09-13)
... ...
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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