Improved Method of Splash Fluid Simulation Based on ISPH

Author(s):  
Mingjing Ai ◽  
Feng Li ◽  
Aiyu Zheng
Author(s):  
JIAWEN WU ◽  
FENGQUAN ZHANG ◽  
XUKUN SHEN

In this paper, we present a method for fluid simulation based on smoothed particle hydrodynamic (SPH) with fast collision detection on boundaries on GPU. The major goal of our algorithm is to get a fast SPH simulation and rendering on GPU. Additionally, our algorithm has the following three features: At first, to make the SPH method GPU-friendly, we introduce a spatial hash method for neighbor search. After sorting the particles based on their grid index, neighbor search can be done quickly on GPU. Second, we propose a fast particle-boundary collision detection method. By precomputing the distance field of scene boundaries, collision detection's computing cost arrived as O(n), which is much faster than the traditional way. Third, we propose a pipeline with fine-detail surface reconstruction, and progressive photon mapping working on GPU. We experiment our algorithm on different situations and particle numbers of scenes, and find out that our method gets good results. Our experimental data shows that we can simulate 100K particles, and up to 1000K particles scene at a rate of approximately 2 times per second.


2021 ◽  
Author(s):  
Nobuhiko Mukai ◽  
Ren Morooka ◽  
Takuya Natsume ◽  
Youngha Chang

2014 ◽  
Vol 599-601 ◽  
pp. 807-813
Author(s):  
Zhi Xun Zhang ◽  
Juan Wang ◽  
Yong Dong Wang

Existing Adaboost methods for face detection based on particle swarm optimization (PSO) do not consider that PSO suffers from easily trapping in local optimum and slow convergence speed. This paper presents an improved Adaboost method for face detection to solve this problem. In this method, self-adaptive escape PSO (AEPSO) is introduced into conventional Adaboost face detection, meanwhile, Haar-Like rectangular features are represented by particles, so that features selection and classifiers construction could be resolved by using AEPSO. Results of simulation based on Matlab indicate the improved method obtains better detection performance.


2011 ◽  
Vol 268-270 ◽  
pp. 1326-1331
Author(s):  
Jian Ni ◽  
Xi Fei Wei

Fluid animation based on physical model has produced a number of new research achievements ,and it has also become a hot spot of research in the field of computer animation in recent years.This paper presents a survey on the development of fluid simulation animation based on physical model,with Summarizing all kinds of methods adopted in the research direction.The methods applied mainly include Euler method and Lagrangian method which are compared in this paper. Finally ,this paper introduces the direction of future research.


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