From the zones of influence of skeleton branch points to meaningful object parts

Authors:
L. Serino;C. Arcelli;G. Sanniti di Baja
Affiliations:
Institute of Cybernetics "E. Caianiello", CNR, Naples, Italy;Institute of Cybernetics "E. Caianiello", CNR, Naples, Italy;Institute of Cybernetics "E. Caianiello", CNR, Naples, Italy
Venue:
DGCI'13 Proceedings of the 17th IAPR international conference on Discrete Geometry for Computer Imagery
Year:
2013

Citing 8
Cited 0

On digital distance transforms in three dimensions

Computer Vision and Image Understanding
Synthesising Objects and Scenes Using the Reverse Distance Transformation in 2D and 3D

ICIAP '95 Proceedings of the 8th International Conference on Image Analysis and Processing
Simultaneous shape decomposition and skeletonization

Proceedings of the 2006 ACM symposium on Solid and physical modeling
Skeleton-based Hierarchical Shape Segmentation

SMI '07 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2007
Object Decomposition Via Curvilinear Skeleton Partition

ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Distance-Driven Skeletonization in Voxel Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Using the skeleton for 3D object decomposition

SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Voxel-based shape decomposition for feature-preserving 3D thumbnail creation

Journal of Visual Communication and Image Representation

Quantified Score

Hi-index	0.00

Visualization

Abstract

A 3D object decomposition method is presented, which is based on the decomposition of the linear skeleton guided by the zones of influence. These are the connected components of voxels obtained by applying the reverse distance transformation to the branch points of the skeleton. Their role is to group sufficiently close branch points and to detect perceptually meaningful skeleton branches that are in a one-to-one relation with the object parts.