Title :
Three-dimensional skeleton extraction by point set contraction
Author :
Giannitrapani, Riccardo ; Murino, Vittorio
Author_Institution :
Dipartimento di Matematica e Inf., Udine Univ., Italy
fDate :
6/21/1905 12:00:00 AM
Abstract :
In this paper, a skeleton extraction method for unstructured three-dimensional data is presented. The algorithm is based on a point set contraction procedure and is proved to be robust to noise and coarse resolution of original data. Preliminary experiments performed on both synthetic and real data are provided, showing the goodness of the proposed method
Keywords :
feature extraction; image thinning; point set contraction; skeleton extraction; unstructured three-dimensional data; Acoustic pulses; Cameras; Data mining; Layout; Noise robustness; Noise shaping; Shape; Signal processing; Skeleton; Underwater acoustics;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.821692
