Author: Takashi Kanai

Out-of-Core Framework for QEM-based Mesh Simplification

In mesh simplification, in-core based methods using Quadric Error Metric (QEM), which apply a sequence of edge-collapse operations, can generate high-quality meshes while preserving shape features. However, these methods cannot be applied to huge meshes with more than 100 million faces, because they … Continue reading “Out-of-Core Framework for QEM-based Mesh Simplification”

Controlling the Shape and Motion of Plumes in Explosion Simulations

We propose a fluid simulation method with controlling the shape and motion of rising fire and smoke, called plumes, in the incompressible phase of explosion phenomenon. With our method, plumes are generated based on physical phenomenon called entrainment, which strongly characterizes plume behaviors … Continue reading “Controlling the Shape and Motion of Plumes in Explosion Simulations”

GPU-based Adaptive Surface Reconstruction for Real-time SPH Fluids

We propose a GPU-based adaptive surface reconstruction algorithm for Smoothed-Particle Hydrodynamics (SPH) fluids. The adaptive surface is reconstructed from 3-level grids as proposed by [Akinci13]. The novel part of our algorithm is a pattern based approach for crack filling, which is recognized as … Continue reading “GPU-based Adaptive Surface Reconstruction for Real-time SPH Fluids”

A Robust and Centered Curve Skeleton Extraction from 3D Point Cloud

A curve skeleton of a 3D object is one of the most important structures of the object, which is extremely useful for many computer graphics applications involving in shape analysis. Much research has focused on volumetric and polygonal mesh models. However, only a few have been paid attention to poi … Continue reading “A Robust and Centered Curve Skeleton Extraction from 3D Point Cloud”