视频中流体的实时重建

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
Hongyan Quan, M. Yu, Xiao Song, Yan Gao
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引用次数: 2

摘要

提出了一种实时重建自然场景中流体的新方法。该方法采用图像分析与晶格玻尔兹曼方法相结合的方法。首先采用LK (Lucas-Kanade)方法计算密集光流,然后采用LBM方法得到中心粒子的合力作为初始结果。对速度矢量场进行回填后,采用K-means聚类得到若干类,在每一类中利用瑞利分布拟合流体高度场。最后,得到流体的重构结果。并对实验中流体高度场的计算结果进行了验证。进一步的实验表明,该方法是一种有效的流体实时重构方法,可用于自然景观流体的研究,具有较高的效率和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
REAL TIME RECONSTRUCTION OF FLUID IN VIDEO
This paper puts forward a new method of realtime reconstruction of fluid in natural scene. It takes the measure of combination of image analysis and LBM (Lattice Boltzmann Methods). First, employs LK (Lucas–Kanade) method to calculate the dense optical flow, and then takes LBM to obtain the joint force of central particles for the initial result. After backfilling the velocity vectors field, it adopts the K-means cluster to obtain several classes, in each class, it takes advantage of the Rayleigh distribution to fit the height field of fluid. Finally, the reconstruction result of fluid is obtained. In addition, it demonstrates the results of the height field of fluid in the experiment. Further experiments shows that it is a valid method of fluid reconstruction with real time and can be used in the study of natural landscape fluid with efficiency and feasibility.
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来源期刊
CiteScore
2.50
自引率
16.70%
发文量
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