More experiments are required to identify the best

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Unformatted text preview: l_Value(0.5); GT_Feature(387), GT_Feature_Type(plane), CofG (-51.3, -602.1, 659.6), Tol_Datum(), Tol_Value(0.5) Points Cloud Data Segmentation: the points cloud data segmentation is performed with an algorithm based on the computation of local curvature and slope on a set of cross sections extracted from the overall cloud (more details about the method can be found in [Germani et al., 2004]). The cross sections used for the segmentation of the points cloud data of our reference example are shown in figure 6. GT Features-Clouds Mapping: the mapping between GT features and the subclouds is performed on the basis of the computation of the minimum distance between the center of gravity of the feature and the center of gravity of the bounding box of all the compatible sub-clouds. At the end of this process only the sub-clouds related to GT features are considered for virtual inspection. Figure 6 shows the identified sub-clouds for our example. Figure 6; cross sections on the points cloud data a...
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This note was uploaded on 08/03/2010 for the course DD 1234 taught by Professor Zczxc during the Spring '10 term at Magnolia Bible.

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