Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thomas Kalbe"'
Publikováno v:
Visualization and Data Analysis
The reconstruction of a continuous function from discrete data is a basic task in many applications such as the visualization of 3D volumetric data sets. We use a local approximation method for quadratic C1 splines on uniform tetrahedrat partitions t
Publikováno v:
The Visual Computer. 27:473-483
We present a physically based interactive simulation technique for de formable objects. Our method models the geometry as well as the displacements using quadratic basis functions in Bernstein–Bezier form on a tetrahedral finite element mesh. The B
Autor:
Thomas Kalbe, Frank Zeilfelder
Publikováno v:
Computer Graphics Forum. 27:331-340
We develop an approach for hardware-accelerated, high-quality rendering of volume data using trivariate splines. The proposed quasi-interpolating schemes are realtime reconstructions. The low total degrees provide several advantages for our GPU imple
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642247842
SSVM
SSVM
We present an efficient implementation of volumetric nonlinear anisotropic image diffusion on modern programmable graphics processing units (GPUs). We avoid the computational bottleneck of a time consuming eigenvalue decomposition in ℝ3. Instead, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47a74df07f52b8649381badc0a40f6f5
https://doi.org/10.1007/978-3-642-24785-9_6
https://doi.org/10.1007/978-3-642-24785-9_6
Publikováno v:
Visualization and Data Analysis 2011.
Publikováno v:
Advances in Visual Computing ISBN: 9783642103308
ISVC (1)
ISVC (1)
Smooth trivariate splines on uniform tetrahedral partitions are well suited for high-quality visualization of isosurfaces from scalar volumetric data. We propose a novel rendering approach based on spline patches with low total degree, for which ray-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73eb0fea9c22d08bf5dd8437f0126194
https://doi.org/10.1007/978-3-642-10331-5_56
https://doi.org/10.1007/978-3-642-10331-5_56
Publikováno v:
PAMM. 12:737-738
We present an efficient implementation of volumetric anisotropic image diffusion on modern programmable graphics processing units (GPUs). We avoid the computational bottleneck of a time consuming eigenvalue decomposition in ℝ3. Instead, we use a pr