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[PDF][PDF] Particle-Based Transparent Rendering of Implicit Surfaces and its Application to Fused Visualization.
S Tanaka, K Hasegawa, Y Shimokubo… - EuroVis (Short …, 2012 - diglib.eg.org
We present particle-based surface rendering (PBSR) that realizes precise rendering of
transparent implicit surfaces and flexible fused visualization. The PBSR uses small opaque …
transparent implicit surfaces and flexible fused visualization. The PBSR uses small opaque …
Improvement of particle-based volume rendering for visualizing irregular volume data sets
We present a technique for previewing large-scale irregular volume datasets using an
improved particle-based volume rendering (PBVR) technique. Volume rendering of irregular …
improved particle-based volume rendering (PBVR) technique. Volume rendering of irregular …
Level-of-detail rendering of large-scale irregular volume datasets using particles
This paper describes a level-of-detail rendering technique for large-scale irregular volume
datasets. It is well known that the memory bandwidth consumed by visibility sorting becomes …
datasets. It is well known that the memory bandwidth consumed by visibility sorting becomes …
Particle-based transparent fused visualization applied to medical volume data
K HASEGAWA, S OJIMA, Y SHIMOKUBO… - … Journal of Modeling …, 2013 - World Scientific
This paper proposes a method to create 3D fusion images, such as volume–volume, volume–
surface, and surface–surface fusion. Our method is based on the particle-based rendering …
surface, and surface–surface fusion. Our method is based on the particle-based rendering …
Particle-based multiple irregular volume rendering on CUDA
D Zhongming, T Kawamura, N Sakamoto… - … Modelling Practice and …, 2010 - Elsevier
In this paper, we describe an improved particle-based volume rendering (PBVR) technique
for previewing a large irregular volume dataset using the CUDA architecture. This technique …
for previewing a large irregular volume dataset using the CUDA architecture. This technique …
Sorting-free pre-integrated projected tetrahedra
N Sakamoto, T Kawamura, H Kuwano… - Proceedings of the 2009 …, 2009 - dl.acm.org
In this paper, we present a sorting-free technique for volume rendering of an irregular
volume dataset. Although the importance of our particle-based volume rendering is widely …
volume dataset. Although the importance of our particle-based volume rendering is widely …
Grid-independent Metropolis sampling for volume visualization
S Tanaka, K Hasegawa, S Nakata… - … Journal of Modeling …, 2010 - World Scientific
We propose a method of sampling regular and irregular-grid volume data for visualization.
The method is based on the Metropolis algorithm that is a type of Monte Carlo technique …
The method is based on the Metropolis algorithm that is a type of Monte Carlo technique …
Fused visualization for large-scale time-varying volume data with adaptive particle-based rendering
Recently, there is a strong need for the fused visualization of different objects in many
simulation fields, especially for the medical domain (eg, the fusion of different organs). That …
simulation fields, especially for the medical domain (eg, the fusion of different organs). That …
Digital museums of cultural heritages in Kyoto: The Gion Festival in a virtual space
L Li, K Hasegawa, T Fukumori, W Wakita… - Human Interface and the …, 2014 - Springer
We introduce studies on digital museums of cultural and artistic resources that originate
primarily in Japan, conducted by Ritsumeikan University. These studies focus on digital …
primarily in Japan, conducted by Ritsumeikan University. These studies focus on digital …
[PDF][PDF] An exploration of multivariate time-varying volume datasets using volumetric parallel coordinates
S Yasuoka, N Sakamoto, K Koyamada - Proc. the 7th EUROSIM Congress on … - eurosim.info
In this paper, we propose “Volumetric Parallel Coordinates”(VPC) as a technique to explore
a multivariate time-varying volume dataset. Recently, this type of a large-scale dataset has …
a multivariate time-varying volume dataset. Recently, this type of a large-scale dataset has …