Matching Items (2)
150427-Thumbnail Image.png
Description
The Dual Marching Tetrahedra algorithm is a generalization of the Dual Marching Cubes algorithm, used to build a boundary surface around points which have been assigned a particular scalar density value, such as the data produced by and Magnetic Resonance Imaging or Computed Tomography scanner. This boundary acts as a

The Dual Marching Tetrahedra algorithm is a generalization of the Dual Marching Cubes algorithm, used to build a boundary surface around points which have been assigned a particular scalar density value, such as the data produced by and Magnetic Resonance Imaging or Computed Tomography scanner. This boundary acts as a skin between points which are determined to be "inside" and "outside" of an object. However, the DMT is vague in regards to exactly where each vertex of the boundary should be placed, which will not necessarily produce smooth results. Mesh smoothing algorithms which ignore the DMT data structures may distort the output mesh so that it could incorrectly include or exclude density points. Thus, an algorithm is presented here which is designed to smooth the output mesh, while obeying the underlying data structures of the DMT algorithm.
ContributorsJohnson, Sean (Author) / Farin, Gerald (Thesis advisor) / Richa, Andrea (Committee member) / Nallure Balasubramanian, Vineeth (Committee member) / Arizona State University (Publisher)
Created2011
Description
This paper compares two approaches to implementing the Marching Cubes algorithm, a method of extracting a polygonal mesh from a 3D scalar field. One possible application of this algorithm is as a procedural terrain generation technique for use in video game development. The Marching Cubes algorithm is an easily parallelizable

This paper compares two approaches to implementing the Marching Cubes algorithm, a method of extracting a polygonal mesh from a 3D scalar field. One possible application of this algorithm is as a procedural terrain generation technique for use in video game development. The Marching Cubes algorithm is an easily parallelizable task, and as such benefits greatly from being executed on the GPU. The reason that the algorithm is so well suited for parallelization is that it breaks the problem of mesh generation into a large group of similar sub-problems that can be solved completely independently.
ContributorsLord, William (Author) / Kobayashi, Yoshihiro (Thesis director) / Hansford, Dianne (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / Computing and Informatics Program (Contributor)
Created2022-12