Abstract
Region segmentation involves in breaking a polygonal mesh into 'meaningful' patches with characteristic geometrical property respectively. Considering the characteristics of nonuniformity, sparseness and known facet normal for STL model from CAD system, an efficient approach for region segmentation is put forward. The algorithm contains two steps: extracting region boundaries and segmenting regional meshes. Region boundaries are classified into sharp feature edge and non-sharp feature edge. The former is detected based on dihedral edge angle angle between facets, while the latter is identified by analysing intrinsic region properties of triangular facets distribution without curvature estimation. By means of unidirectional increment of feature edges, continuous region boundaries are generated. Finally, we withdraw meaningful patches from STL model based on advancing front algorithm depending on the boundaries. Examples are given to show the feature edges detection, boundaries generation and region segmentation based on the boundaries.
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