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文件名称:Ransac
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- 上传时间：2013-03-16
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文件大小：6.3mb
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介绍说明－－下载内容来自于网络，使用问题请自行百度
RANSAC为RANdom SAmple Consensus的缩写，它是根据一组包含异常数据的样本数据集，计算出数据的数学模型参数，得到有效样本数据的算法。它于1981年由Fischler和Bolles最先提出[1]。
RANSAC算法经常用于计算机视觉中。例如，在立体视觉领域中同时解决一对相机的匹配点问题及基本矩阵的计算。
RANSAC算法的基本假设是样本中包含正确数据(inliers，可以被模型描述的数据)，也包含异常数据(Outliers，偏离正常范围很远、无法适应数学模型的数据)，即数据集中含有噪声。这些异常数据可能是由于错误的测量、错误的假设、错误的计算等产生的。同时RANSAC也假设，给定一组正确的数据，存在可以计算出符合这些数据的模型参数的方法。-RANSAC for RANdom SAmple Consensus, it is based on a set of sample data sets contain abnormal data, mathematical model parameters calculated data, the effective sample data algorithm. First proposed by Fischler and Bolles in 1981 [1]. The RANSAC algorithm often used in computer vision. For example, while addressing the three-dimensional visual field on the camera match point problem and the fundamental matrix calculation. The RANSAC algorithm' s basic assumption is that sample contains the correct data (inliers, can be described by the model data) also contain abnormal data (Outliers, deviated from the normal range very far, unable to adapt to the mathematical model of the data), that the data set contains noise. These abnormal data may be generated due to wrong measurements, wrong assumptions, wrong calculation. Simultaneously RANSAC also assume, given a set of correct data, there can be calculated out of these data to the model parameters.
RANSAC算法经常用于计算机视觉中。例如，在立体视觉领域中同时解决一对相机的匹配点问题及基本矩阵的计算。
RANSAC算法的基本假设是样本中包含正确数据(inliers，可以被模型描述的数据)，也包含异常数据(Outliers，偏离正常范围很远、无法适应数学模型的数据)，即数据集中含有噪声。这些异常数据可能是由于错误的测量、错误的假设、错误的计算等产生的。同时RANSAC也假设，给定一组正确的数据，存在可以计算出符合这些数据的模型参数的方法。-RANSAC for RANdom SAmple Consensus, it is based on a set of sample data sets contain abnormal data, mathematical model parameters calculated data, the effective sample data algorithm. First proposed by Fischler and Bolles in 1981 [1]. The RANSAC algorithm often used in computer vision. For example, while addressing the three-dimensional visual field on the camera match point problem and the fundamental matrix calculation. The RANSAC algorithm' s basic assumption is that sample contains the correct data (inliers, can be described by the model data) also contain abnormal data (Outliers, deviated from the normal range very far, unable to adapt to the mathematical model of the data), that the data set contains noise. These abnormal data may be generated due to wrong measurements, wrong assumptions, wrong calculation. Simultaneously RANSAC also assume, given a set of correct data, there can be calculated out of these data to the model parameters.
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下载文件列表
Ransac源代码/Debug/cl.command.1.tlog
Ransac源代码/Debug/CL.read.1.tlog
Ransac源代码/Debug/CL.write.1.tlog
Ransac源代码/Debug/LineParamEstimator.obj
Ransac源代码/Debug/link-cvtres.read.1.tlog
Ransac源代码/Debug/link-cvtres.write.1.tlog
Ransac源代码/Debug/link.26872-cvtres.read.1.tlog
Ransac源代码/Debug/link.26872-cvtres.write.1.tlog
Ransac源代码/Debug/link.26872.read.1.tlog
Ransac源代码/Debug/link.26872.write.1.tlog
Ransac源代码/Debug/link.command.1.tlog
Ransac源代码/Debug/link.read.1.tlog
Ransac源代码/Debug/link.write.1.tlog
Ransac源代码/Debug/mt.command.1.tlog
Ransac源代码/Debug/mt.read.1.tlog
Ransac源代码/Debug/mt.write.1.tlog
Ransac源代码/Debug/Point2D.obj
Ransac源代码/Debug/RANSAC.exe
Ransac源代码/Debug/RANSAC.exe.embed.manifest
Ransac源代码/Debug/RANSAC.exe.embed.manifest.res
Ransac源代码/Debug/RANSAC.exe.intermediate.manifest
Ransac源代码/Debug/RANSAC.ilk
Ransac源代码/Debug/RANSAC.lastbuildstate
Ransac源代码/Debug/RANSAC.log
Ransac源代码/Debug/RANSAC.pdb
Ransac源代码/Debug/RansacExample.obj
Ransac源代码/Debug/RANSAC_manifest.rc
Ransac源代码/Debug/rc.command.1.tlog
Ransac源代码/Debug/rc.read.1.tlog
Ransac源代码/Debug/rc.write.1.tlog
Ransac源代码/Debug/vc100.idb
Ransac源代码/Debug/vc100.pdb
Ransac源代码/Debug
Ransac源代码/ipch/ransac-37f50318/ransac-4466c7ae.ipch
Ransac源代码/ipch/ransac-37f50318
Ransac源代码/ipch
Ransac源代码/LineParamEstimator.cpp
Ransac源代码/LineParamEstimator.h
Ransac源代码/ParameterEsitmator.h
Ransac源代码/Point2D.cpp
Ransac源代码/Point2D.h
Ransac源代码/Ransac.h
Ransac源代码/RANSAC.sdf
Ransac源代码/RANSAC.sln
Ransac源代码/RANSAC.suo
Ransac源代码/RANSAC.vcxproj
Ransac源代码/RANSAC.vcxproj.filters
Ransac源代码/RANSAC.vcxproj.user
Ransac源代码/RansacExample.cpp
Ransac源代码/Readme
Ransac源代码/Unix_Makefile
Ransac源代码/说明.txt
Ransac源代码
Ransac源代码/Debug/CL.read.1.tlog
Ransac源代码/Debug/CL.write.1.tlog
Ransac源代码/Debug/LineParamEstimator.obj
Ransac源代码/Debug/link-cvtres.read.1.tlog
Ransac源代码/Debug/link-cvtres.write.1.tlog
Ransac源代码/Debug/link.26872-cvtres.read.1.tlog
Ransac源代码/Debug/link.26872-cvtres.write.1.tlog
Ransac源代码/Debug/link.26872.read.1.tlog
Ransac源代码/Debug/link.26872.write.1.tlog
Ransac源代码/Debug/link.command.1.tlog
Ransac源代码/Debug/link.read.1.tlog
Ransac源代码/Debug/link.write.1.tlog
Ransac源代码/Debug/mt.command.1.tlog
Ransac源代码/Debug/mt.read.1.tlog
Ransac源代码/Debug/mt.write.1.tlog
Ransac源代码/Debug/Point2D.obj
Ransac源代码/Debug/RANSAC.exe
Ransac源代码/Debug/RANSAC.exe.embed.manifest
Ransac源代码/Debug/RANSAC.exe.embed.manifest.res
Ransac源代码/Debug/RANSAC.exe.intermediate.manifest
Ransac源代码/Debug/RANSAC.ilk
Ransac源代码/Debug/RANSAC.lastbuildstate
Ransac源代码/Debug/RANSAC.log
Ransac源代码/Debug/RANSAC.pdb
Ransac源代码/Debug/RansacExample.obj
Ransac源代码/Debug/RANSAC_manifest.rc
Ransac源代码/Debug/rc.command.1.tlog
Ransac源代码/Debug/rc.read.1.tlog
Ransac源代码/Debug/rc.write.1.tlog
Ransac源代码/Debug/vc100.idb
Ransac源代码/Debug/vc100.pdb
Ransac源代码/Debug
Ransac源代码/ipch/ransac-37f50318/ransac-4466c7ae.ipch
Ransac源代码/ipch/ransac-37f50318
Ransac源代码/ipch
Ransac源代码/LineParamEstimator.cpp
Ransac源代码/LineParamEstimator.h
Ransac源代码/ParameterEsitmator.h
Ransac源代码/Point2D.cpp
Ransac源代码/Point2D.h
Ransac源代码/Ransac.h
Ransac源代码/RANSAC.sdf
Ransac源代码/RANSAC.sln
Ransac源代码/RANSAC.suo
Ransac源代码/RANSAC.vcxproj
Ransac源代码/RANSAC.vcxproj.filters
Ransac源代码/RANSAC.vcxproj.user
Ransac源代码/RansacExample.cpp
Ransac源代码/Readme
Ransac源代码/Unix_Makefile
Ransac源代码/说明.txt
Ransac源代码
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