Iterative Closest Point Method
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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
Free download from Shareware Connection - ICP fit points in data to the points in model
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 27-06-2013 | Rating: 0 | Title: Iterative Closest Point Method
Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/12627/1/icp.zip
Iterative Closest Point Method, C++ - ICP - Iterative Closest Point algorithm, c++ implementation. Handles only points in R^3
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