Abstract: One novel slicing triangulation algorithm was proposed
which dose not need manual intervention and can triangulate both overlapping and non-overlapping points cloud highly efficiently. The algorithm contains two main stages: points cloud preprocessing and triangulation. In preprocessing phase
the information of KNN、vector and shape index are extracted from points’ location information; In triangulation stage
if one new basis point is picked out
one new patch will be created based on the orientation angle between the basis point and each other unprocessed point
then the patch is projected onto the basis point’s tangent plane and triangulated
after verifying triangles in 3D space
the triangulation results of the patch are saved. Final triangulation results are output until there is no new basis point available. The experiment results confirm the proposed algorithm is effective and highly-efficient.
关键词
曲面重建,法线矢量,K邻域,三角化,方向角
Keywords
surface reconstruction normal vector k-nearest neighbors triangulation orientation angle