A heat flow based relaxation scheme for n dimensional discrete hyper surfaces. (April 2018)
- Record Type:
- Journal Article
- Title:
- A heat flow based relaxation scheme for n dimensional discrete hyper surfaces. (April 2018)
- Main Title:
- A heat flow based relaxation scheme for n dimensional discrete hyper surfaces
- Authors:
- Livesu, Marco
- Abstract:
- Highlights: A diffusion based operator for discrete hyper-surfaces. Independent on the specific discretization choice. Independent from the dimensionality of the dataset. Fast and easy to use (no complex parameter tuning). Graphical abstract: Abstract: We consider the problem of relaxing a discrete ( n − 1 ) dimensional hyper surface defining the boundary between two adjacent n dimensional regions in a discrete segmentation. This problem often occurs in computer graphics and vision, where objects are represented by discrete entities such as pixel/voxel grids or polygonal/polyhedral meshes, and the resulting boundaries often expose a typical jagged behavior. We propose a relaxation scheme that replaces the original boundary with a smoother version of it, defined as the level set of a continuous function. The problem has already been considered in recent years, but current methods are specifically designed to relax curves on triangulated discrete 2-manifolds embedded in R 3, and do not clearly scale to multiple discrete representations or to higher dimensions. Our biggest contribution is a smoothing operator entirely based on three canonical differential operators: namely the Laplacian, gradient and divergence. These operators are ubiquitous in applied mathematics, are available for a variety of discretization choices, and exist in any dimension. To the best of the author's knowledge, this is the first intrinsically dimension-independent method, and can be used to relax curvesHighlights: A diffusion based operator for discrete hyper-surfaces. Independent on the specific discretization choice. Independent from the dimensionality of the dataset. Fast and easy to use (no complex parameter tuning). Graphical abstract: Abstract: We consider the problem of relaxing a discrete ( n − 1 ) dimensional hyper surface defining the boundary between two adjacent n dimensional regions in a discrete segmentation. This problem often occurs in computer graphics and vision, where objects are represented by discrete entities such as pixel/voxel grids or polygonal/polyhedral meshes, and the resulting boundaries often expose a typical jagged behavior. We propose a relaxation scheme that replaces the original boundary with a smoother version of it, defined as the level set of a continuous function. The problem has already been considered in recent years, but current methods are specifically designed to relax curves on triangulated discrete 2-manifolds embedded in R 3, and do not clearly scale to multiple discrete representations or to higher dimensions. Our biggest contribution is a smoothing operator entirely based on three canonical differential operators: namely the Laplacian, gradient and divergence. These operators are ubiquitous in applied mathematics, are available for a variety of discretization choices, and exist in any dimension. To the best of the author's knowledge, this is the first intrinsically dimension-independent method, and can be used to relax curves on 2-manifolds, surfaces in R 3, or even hyper-surfaces in R n . We demonstrate our method on a variety of discrete entities, spanning from triangular, quadrilateral and polygonal surfaces, to solid tetrahedral meshes. … (more)
- Is Part Of:
- Computers & graphics. Volume 71(2018)
- Journal:
- Computers & graphics
- Issue:
- Volume 71(2018)
- Issue Display:
- Volume 71, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 71
- Issue:
- 2018
- Issue Sort Value:
- 2018-0071-2018-0000
- Page Start:
- 124
- Page End:
- 131
- Publication Date:
- 2018-04
- Subjects:
- Diffusion -- Smoothing -- Implicit hyper surfaces -- Heat flow
Computer graphics -- Periodicals
006.6 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.cag.2018.01.004 ↗
- Languages:
- English
- ISSNs:
- 0097-8493
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.700000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6118.xml