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Computer Vision, Graphics, and Image Processing
Axial representations of shape
Computer Vision, Graphics, and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Continuous skeleton computation by Voronoi diagram
CVGIP: Image Understanding
A 3D fully parallel thinning algorithm for generating medial faces
Pattern Recognition Letters
Medial axis transform to boundary representation conversion
Medial axis transform to boundary representation conversion
A fully parallel 3D thinning algorithm and its applications
Computer Vision and Image Understanding
Shape Representation Using a Generalized Potential Field Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Continuous Skeletons from Digitized Images
Journal of the ACM (JACM)
Robot Motion Planning
An Algorithm for the Medial Axis Transform of 3D Polyhedral Solids
IEEE Transactions on Visualization and Computer Graphics
Shape Description By Medial Surface Construction
IEEE Transactions on Visualization and Computer Graphics
Voronoi Diagrams of Set-Theoretic solid Models
IEEE Computer Graphics and Applications
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Web-Based 3D Geometry Model Retrieval
World Wide Web
Simultaneous shape decomposition and skeletonization
Proceedings of the 2006 ACM symposium on Solid and physical modeling
Curve-Skeleton Properties, Applications, and Algorithms
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stratified helix information of medial-axis-points matching for 3D model retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval
Skeleton extraction by mesh contraction
ACM SIGGRAPH 2008 papers
Computing the curve-skeletons of images
International Journal of Computer Mathematics
Technical section: A potential-based generalized cylinder representation
Computers and Graphics
Computation of the shock scaffold for unorganized point clouds in 3D
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Curve-skeletons based on the fat graph approximation
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Efficient retrieval of 3d models based on integer medial axis skeleton
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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
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Computer-Aided Design
L1-medial skeleton of point cloud
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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The medial axis transform (MAT) is a skeletal representation of an object which has been shown to be useful in interrogation, animation, finite element mesh generation, path planning, and feature recognition. In this paper, the potential-based skeletonization approach for 2D MAT [1], which identifies object skeleton as potential valleys using a Newtonian potential model in place of the distance function, is generalized to three dimensions. The generalized potential functions given in [2], which decay faster with distance than the Newtonian potential, is used for the 3D case. The efficiency of the proposed approach results from the fact that these functions and their gradients can be obtained in closed forms for polyhedral surfaces. According to the simulation results, the skeletons obtained with the proposed approach are closely related to the corresponding MAT skeletons. While the medial axis (surface) is 2D in general for a 3D object, the potential valleys, being one-dimensional, form a more realistic skeleton. Other desirable attributes of the algorithm include stability against perturbations of the object boundary, the flexibility to obtain partial skeleton directly, and low time complexity.