摘要
常规三维人体动画视觉体验系统在视觉展示时,用户只能输入少量控制数据,无法融合大数据,为此设计基于机器学习的三维人体动画视觉体验系统。硬件设计中重点优化了三维扫描装置,其他硬件设备沿用常规系统设备。在硬件设计的基础上,重新确认三维人体位置、比例和转角信息,并引入机器学习算法将视觉体验数据与用户数据融合,完成视觉体验数据填充,对填充后的视觉感知对比度实施优化处理,从而实现软件设计。设计仿真模拟实验,针对不同数据输入下三维人体动画视觉体验系统的性能进行分析。实验结果表明,所设计系统能够融合的输入数据量较大,而常规系统只能容纳部分执行数据,证明所设计系统有效地解决了常规系统出现的问题。
As users can only input a small amount of control data during the visual display of conventional 3D human animation visual experience system,which cannot integrate big data,a 3D human animation visual experience system based on machine learning is designed.In the hardware design,the 3D scanning device is optimized emphatically,and the other conventional system equipments are still used.On the basis of the hardware design,the position,proportion,and corner information of 3D human body are reconfirmed,the machine learning algorithm is introduced to fuse the visual experience data with user data,the visual experience data filling is completed,and the contrast of visual perception after filling is optimized,so as to realize the software design.The simulation experiment is designed to analyze the performance of the 3D human animation visual experience systems with different data input.The experimental results show that the designed system can fuse a large amount of input data,while the conventional system can only accommodate part of the execution data,which proves that the designed system can effectively solve the problems of the conventional system.
作者
刘凯
LIU Kai(Nanjing Institute of Technology,Nanjing 211167,China)
出处
《现代电子技术》
2021年第8期173-176,共4页
Modern Electronics Technique
基金
国家自然科学基金项目(61401195)
江苏省教育厅项目(2018SJA0394)。
关键词
三维人体动画
视觉体验
机器学习
数据输入
系统设计
仿真实验
3D human animation
visual experience
machine learning
data input
system design
simulation experiment
