Dual contouring of hermite data

By Tao Ju, Frank Losasso, Scott Schaefer, Joe D. Warren. ACM Transactions on Graphics, 2002

855 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design

View Paper: https://www.semanticscholar.org/paper/23d67521848ca436ab9ec1b89bca6d35bc885d26

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

1. Thomas J. R. Hughes
2. Ronald Fedkiw
3. Frank Losasso
4. Stanley J. Osher
5. Yuri Bazilevs
6. Frédéric Gibou
7. Yongjie Jessica Zhang
8. Daniel Cohen-Or

In Computer Graphics and Computer-Aided Design

1. Thomas J. R. Hughes
2. Ronald Fedkiw
3. Frank Losasso
4. Yuri Bazilevs
5. Stanley J. Osher
6. Frédéric Gibou
7. Daniel Cohen-Or
8. Yongjie Jessica Zhang

Citations in the corpus

• Robust repair of polygonal models (2004, methodology): “2001] and Dual Contouring method [Ju et al. 2002]).”
• Robust moving least-squares fitting with sharp features (2005, background): “Recent advances in contouring techniques reconstruct sharp features [Ju et al. 2002; Kobbelt et al. 2001; Varadhan et al. 2003].”
• A survey of the marching cubes algorithm (2006, neutral): “[151].”
• Global, Dense Multiscale Reconstruction for a Billion Points (2015, methodology): “Second, the problem size requires a minimization algorithm that makes best use of the available memory and computing resources.”
• MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures (2022, methodology): “We instantiate V by creating one vertex per voxel, and T by creating one quadrangle (two triangles) per grid edge connecting the vertices of the four adjacent voxels, akin to Dual Contouring [10, 22].”
• Fusion of depth maps with multiple scales (2011, methodology): “Dual methods pose less restrictions but require hermite data [Ju et al. 2002] or can introduce topological artifacts [Schaefer and Warren 2005].”
• Patient-Specific Vascular NURBS Modeling for Isogeometric Analysis of Blood Flow (2007, methodology): “Isocontouring and Geometry Editing: There are two main isocontouring methods from imaging data: Primal Contouring (or Marching Cubes [36]) and Dual Contouring [34].”
• Spatially adaptive techniques for level set methods and incompressible flow (2006, methodology): “[49] introduced a tree traversal algorithm that efficiently enumerates every minimal edge in an octree using a number of recursive functions.”
• Simulating water and smoke with an octree data structure (2004, background): “The representation of implicit surfaces on octree data structures has a long history in the marching cubes community, see the recent papers of [Ju et al. 2002; Ohtake et al. 2003] and the references therein.”
• 3D distance fields: a survey of techniques and applications (2006, methodology): “[57], the method has been extended further to adaptive grids where precise edge intersections and normals are known.”
• Recent Advances in Remeshing of Surfaces (2008, neutral): “Another feature-preserving approach was proposed in [36].”