simICP.match
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Description
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Match two point clouds. |
| Lua synopsis |
float[] m=simICP.match(int model_handle, int template_handle, float outlier_treshold=-1)
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| Lua parameters |
model_handle (int): handle to model point cloud (model will be the static part)
template_handle (int): handle to template point cloud (template will be the part to register to the model)
outlier_treshold (float, default: -1): outlier treshold (-1 = no treshold)
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| Lua return values |
m (table of float): transformation matrix (12 elements) |
| Python synopsis |
list m=simICP.match(int model_handle, int template_handle, float outlier_treshold=-1)
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See also
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simICP.matchToShape
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Description
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Match point clouds to shape. |
| Lua synopsis |
float[] m=simICP.matchToShape(int model_handle, int template_handle, float outlier_treshold=-1)
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| Lua parameters |
model_handle (int): handle to model shape (model will be the static part)
template_handle (int): handle to template point cloud (template will be the part to register to the model)
outlier_treshold (float, default: -1): outlier treshold (-1 = no treshold)
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| Lua return values |
m (table of float): transformation matrix (12 elements) |
| Python synopsis |
list m=simICP.matchToShape(int model_handle, int template_handle, float outlier_treshold=-1)
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See also
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