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IterativeClosestPointMethod
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
(ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model- matrix with model points,
data- matrix with data points,
OUTPUT:
R- rotation matrix and
T- translation vector accordingly
so
newdata = R*data+ T .
newdata are transformed data points to fit model
see help icp for more information
)
- 2007-09-09 16:06:34下载
- 积分：1
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MPLAB-X-IDE-User-Guide
MPLAB X IDE User Guide，China Version
- 2013-08-22 09:10:18下载
- 积分：1
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secondexalign
该算法用于实现静基座二位置捷联惯导初始对准(The algorithm used to implement static base two position SINS initial alignment)
- 2012-11-03 10:05:13下载
- 积分：1
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PIDsim26012018
machine arm PID Iterative learning control(machine arm PID Iterative learning control)
- 2020-06-19 14:14:38下载
- 积分：1
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SVMprogramme
说明： 以股票交易为例，用SVM网络回归预测，内有说明(SVM network regression prediction, with instructions)
- 2019-06-11 14:08:13下载
- 积分：1
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hungary
说明： 程序实现了匈牙利算法应用于指派问题，输入指派成本矩阵C，给出最小成本及使得成本最小的最优指派(Input the assignment cost matrix C, the program will obtain the least cost and the optimal assignment vector.)
- 2020-04-28 16:55:30下载
- 积分：1
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MATLAB50examples
matlab 50个练习的好例子,包括常见的算法和数学公式,方便学习(matlab 50 months of good practice examples, including the common algorithms and mathematical formulas to facilitate the learning)
- 2008-04-21 15:30:55下载
- 积分：1
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chazhinihe
说明： 一个利用MATLAB来进行数值的差值和拟合的经典程序，希望能对大家有帮助。(Using MATLAB to carry out a numerical difference and fitting the classic procedure, hoping to be helpful.)
- 2010-04-06 08:50:29下载
- 积分：1
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RMatlab
To call R from within Matlab, you will need to have R compiled as a
shared library. This needs to be done when compiling R from source
(or via one of the binary distributions that have support for this.)
Download the R source from cran.r-project.org.
- 2014-08-08 16:47:25下载
- 积分：1
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HoweBinarization
it is meant for binarization of text documents
- 2014-08-10 10:50:28下载
- 积分：1
