The power crust, unions of balls, and the medial axis transform
By Nina Amenta, Sunghee Choi, R. Kolluri. Computational geometry, 2001
631 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/889df121b5be58ef9aee772f3854fd422daf6511
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Daniel Cohen-Or
- Thomas A. Funkhouser
- Ariel Shamir
- Ayellet Tal
- Sagi Katz
- Lior Shapira
- Hao Zhang
- Ronen Basri
In Computer Graphics and Computer-Aided Design
- Daniel Cohen-Or
- Thomas A. Funkhouser
- Ariel Shamir
- Hugues Hoppe
- Hao Zhang
- Ayellet Tal
- Sagi Katz
- Ronen Basri
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Daniel Cohen-Or
- Xiaogang Wang
- Dacheng Tao
- Jitendra Malik
- Andrew Zisserman
- Trevor Darrell
Citations in the corpus
- An image-based modeling framework for patient-specific computational hemodynamics (2008, background): “The envelope of all maximal inscribed spheres is the boundary surface of the object itself, therefore the (oriented) boundary surface and its medial axis are dual representations of the same shape [1].”
- Skeleton based shape matching and retrieval (2003, neutral): “For 3D objects a medial surface is computed (see [21, 9]).”
- Parallel Poisson Surface Reconstruction (2009, methodology): “Computational Geometry: Computational geometry based methods use geometric structures such as the Delaunay triangulation, alpha shapes or the Voronoi diagram [4–9] to partition space based on the input samples.”
- Digital Topology and Geometry in Medical Imaging: A Survey (2015, methodology): “agrams to compute Voronoi skeletons [138], [278], [279], where”
- A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms (2009, methodology): “A classical approximation method for discrete surfaces relies on the concept of Voronoi diagram, defined as follows [24], [25].”
- Direct visibility of point sets (2007, methodology): “…compute visibility of a point cloud is to reconstruct the surface [Hoppe et al. 1992; Bernardini et al. 1999; Curless and Levoy 1996; Carr et al. 2001; Amenta et al. 2001; Amenta et al. 2002; Amenta and Kil 2004; Fleishman et al. 2005] and determine visibility on the reconstructed triangular mesh.”
- Consistent mesh partitioning and skeletonisation using the shape diameter function (2008, background): “However, computing the medial axis and the MAT of a surface mesh can be an expensive process, and the medial axis itself is difficult to handle [1, 9].”