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基于大型数字媒体的三维虚拟动态重现设计 被引量:1

Design of 3D virtual dynamic reconstruction based on large⁃scale digital media
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摘要 针对传统的三维虚拟动态重现方法效果不佳的问题,提出基于大型数字媒体的三维虚拟动态重现设计。运用相关理论处理三维虚拟动态图像,再运用大型数字媒体中的Grab Cut算法求解高斯混合模型表达式。在实现能量模型构建后,引入归一化直方图,计算像素点前景概率和背景概率。在完成上述计算过程后,根据三维虚拟动态重现流程得到Bin值,实现三维虚拟动态重现。由此,完成基于大型数字媒体的三维虚拟动态重现方法的设计。最后,创建实验环境,按照实验流程,完成对比实验。实验应用公式计算两种方法重现结果的准确率、召回率和F-measure值。实验结果表明,所提方法相比传统方法准确率高5.264%、召回率高2.054%、F-measure值高3.652%。说明所提方法符合设计需求。 A design of 3D virtual dynamic reconstruction based on large⁃scale digital media is proposed to improve the effect of the traditional 3D virtual dynamic reconstruction method.The correlation theory is used to process the 3D virtual dynamic image,and then the Grab Cut algorithm in the large⁃scale digital media is utilized to solve the Gaussian mixture model expression.The energy model is built,after which the normalized histogram is introduced to calculate the foreground probability and background probability of pixels.After completing the above calculation process,the Bin values are obtained according to the 3D virtual dynamic reconstruction process,and the 3D virtual dynamic reconstruction is realized.Therefore,the design of 3D virtual dynamic reproduction method based on large⁃scale digital media is completed.The experimental environment was created and the comparative experiment was completed according to the experimental process.The accuracy,recall and F⁃measure value of the reconstruction results of the two methods were calculated by the formula.The experimental results show that the accuracy,recall and F⁃measure of the designed reconstruction method are 5.264%,2.054%and 3.652%higher than those of the traditional methods.It shows that the porposed method meets the design requirements.
作者 万陆洋 WAN Luyang(Zhengzhou University of Technology,Zhengzhou 450044,China)
出处 《现代电子技术》 北大核心 2020年第16期66-68,72,共4页 Modern Electronics Technique
基金 河南省自然科学基金重点项目(162300410338)。
关键词 大型数字媒体 三维虚拟图像 动态重现 图像处理 能量模型构建 对比验证 large⁃scale digital media 3D virtual image dynamic reconstruction image processing energy model construction comparison validation
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