Skeleton extraction by mesh contraction
ACM SIGGRAPH 2008 papers
Generation of Unit-Width Curve Skeletons Based on Valence Driven Spatial Median (VDSM)
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Local Orthogonal Cutting Method for Computing Medial Curves and Its Biomedical Applications
SIAM Journal on Scientific Computing
A mobile environment for sketching-based skeleton generation
World Wide Web
Skeleton path based approach for nonrigid 3D shape analysis and retrieval
IWCIA'11 Proceedings of the 14th international conference on Combinatorial image analysis
Image skeletonization based on curve skeleton extraction
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Curve-skeletons based on the fat graph approximation
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Voxel-based shape decomposition for feature-preserving 3D thumbnail creation
Journal of Visual Communication and Image Representation
Efficient 3d curve skeleton extraction from large objects
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A novel skeletonization and animation approach for point models
Transactions on Edutainment VII
Robust curve skeleton extraction for vascular structures
Graphical Models
Skeleton extraction for tree models
Mathematical and Computer Modelling: An International Journal
Centroidal Voronoi Tessellation of Line Segments and Graphs
Computer Graphics Forum
Extracting curve-skeletons from digital shapes using occluding contours
The Visual Computer: International Journal of Computer Graphics
A new relative chain code in 3D
Pattern Recognition
Technical note: Kinematic skeleton extraction from 3D articulated models
Computer-Aided Design
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A curve skeleton is a compact representation of 3D objects and has numerous applications. It can be used to describe an object隆娄s geometry and topology. In this paper, we introduce a novel approach for computing curve skeletons for volumetric representations of the input models. Our algorithm consists of three major steps: 1) using iterative least squares optimization to shrink models and, at the same time, preserving their geometries and topologies; 2) extracting curve skeletons through the thinning algorithm; and 3) pruning unnecessary branches based on shrinking ratios. The proposed method is less sensitive to noise on the surface of models and can generate smoother skeletons. In addition, our shrinking algorithm requires little computation, since the optimization system can be factorized and stored in the pre-computational step. We demonstrate several extracted skeletons that help evaluate our algorithm. We also experimentally compare the proposed method with other well-known methods. Experimental results show advantages when using our method over other techniques.