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Describe: 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
File list(time 2007090916)(Click to check if it's the file you need, and recomment it at the bottom):
Iterative Closest Point Method .txt
Iterative Closest Point Method .txt
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