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# 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

Free download from Shareware Connection - ICP fit points in data to the points in model

Publisher: Per BergstrdoTAm | License: Freeware | Price: 0.00
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

Iterative Closest Point Method, C++ - ICP - Iterative Closest Point algorithm, c++ implementation. Handles only points in R^3

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Shareware Connection periodically updates pricing and software information of 'Iterative Closest Point Method' from company source 'Per BergstrdoTAm' , so some information may be slightly out-of-date. You should confirm all information before relying on it. Software piracy is theft,  Using 'Iterative Closest Point Method' crack, password, serial numbers, registration codes, key generators is illegal and prevent future development of Iterative Closest Point Method.

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