Iterative Closest Point Method
by Per Bergström
13 Oct 2006
(Updated 26 Nov 2007)
ICP fit points in data to the points in model.
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| File Information |
| Description |
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 |
| MATLAB release |
MATLAB 6.0 (R12)
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| Updates |
| 17 Oct 2006 |
Have added a choice to use an other seach method, tes_flag=2 (see help icp). |
| 08 Nov 2006 |
Added weighted sum of squares minimization. |
| 21 Nov 2006 |
ICP can now handle point clouds whos principal components do not span the whole space. |
| 16 Jan 2007 |
Have added a new choice for tesselaton structure. |
| 18 Jan 2007 |
Have done the last update complete. |
| 08 Mar 2007 |
Have done some small changes! |
| 26 Nov 2007 |
Have added additional inputs to icp. |
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