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Using local convexities as anchor points for 3D curve skeletonization

Conference Paper
Publication Date:
2016
abstract:
A new algorithm is introduced to compute the curve skeleton of 3D objects by using the notion of local convexity. The centers of maximal balls detected on the distance transform of the object are filtered to select as anchor points only those located on sharp local convexities of the object's boundary. Then, the skeleton is obtained by means of topology preserving removal operations. Pruning is finally accomplished to remove from the skeleton scarcely significant peripheral branches.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
3D object; local convexity; curve skeleton; pruning
List of contributors:
SANNITI DI BAJA, Gabriella; Serino, Luca
Authors of the University:
SERINO LUCA
Handle:
https://iris.cnr.it/handle/20.500.14243/322219
Book title:
Proceedings of 23rd International Conference on Pattern Recognition, ICPR 2016
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