RANSAC
所属分类：2D图形编程
开发工具：matlab
文件大小：18KB
下载次数：111
上传日期：2009-07-07 14:45:10
上 传 者：
froazed
说明： ：本文把星表匹配问题转化成计算机视觉中的对应点匹配问题,接着使用二维Delaunay三角化方法对星表进行三角化,然后用RANSAC方法对星表的自动匹配问题进行了研究。研究结果表明,我们的方法能够快速有效地完成星表匹配。在总共960个样本中,除了两幅不符合匹配的星表之外,全部获得了正确的匹配结果。
(: In this paper, the Star into a matching problem in computer vision matching the corresponding points, followed by the use of two-dimensional Delaunay triangulation method to the triangular form of stars, and then use RANSAC method of automatically catalog matching problem is studied. The results show that our method can be completed quickly and efficiently matching catalog. In a total of 960 samples, in addition to the two stars are not in line with the matching table, all access to the correct matching results.)
文件列表:
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\changelog.txt (188, 2006-04-01)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\License.txt (2583, 2006-03-13)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\LINE\Dist.m (118, 2004-10-20)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\LINE\DrawLine.m (1163, 2004-10-20)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\LINE\GenData.m (2366, 2004-10-20)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\LINE\MEst.m (1615, 2004-10-20)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\LINE\TLS.m (1281, 2004-10-20)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\line_ex.m (6858, 2006-04-01)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC\LMEDS.m (2224, 2005-09-09)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC\LOMSAC.m (3872, 2004-10-20)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC\MLESAC.m (3394, 2006-04-01)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC\MSAC.m (3134, 2006-04-01)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC\NAPSAC.m (3109, 2006-04-01)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC\RANSAC.asv (2317, 2006-04-01)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC\RANSAC.m (2329, 2006-04-01)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC\RRANSAC.m (2768, 2006-04-01)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC\ZHANGSAC.m (3147, 2006-04-01)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\LINE (0, 2006-12-15)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2\SAC (0, 2006-12-15)
GML_RANSAC_Matlab_Toolbox_0[1].2\GML_RANSAC_Matlab_Toolbox_0.2 (0, 2006-12-15)
GML_RANSAC_Matlab_Toolbox_0[1].2 (0, 2006-12-15)
GML RANSAC Matlab Toolbox v 0.1
===============================
0. Intro
--------
Before using this toolbox, please see the License.txt file!
You can learn about the implemented algorithms here:
http://research.graphicon.ru/machine-learning/gml-ransac-matlab-toolbox-2.html
1. How to Use
-------------
All RANSAC algorithms are implemented as MATLAB functions and
located in "SAC" direcory. Other Scrips and directorie(s) are
just example data.
To get specific help for any function, you should type:
"help "
where - is one of the functions in "SAC" direcory,
and you'll get full usage help.
2. Some Exmples
---------------
To view "how it works", you can run "line_ex.m" without any
argument. It will produce the figure, with the difference of
line estimation by different SAC algorithms. Also it wil print
some statistic data at main terminal window.
3. Contacts
-----------
For any questions or suggestions, please mail to:
Marinichev Kirill
vision((at))graphics.cs.msu.ru
[change ((at)) to @ in order to get proper address - antispam]
Thanks for downloading GML RANSAC Matlab Toolbox!
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