TY -的A2 -李,元盟——范,晶晶PY - 2022 DA - 2022/06/01 TI -实时模拟方法基于深剥离的火焰动画算法和纹理映射的SP - 2580575六世- 2022 AB -逐步集成计算机在人们的工作和生活,它不再是一个遥不可及的目标,用科技的力量来模拟各种物质的状态。在未来,虚拟仿真建模技术将变得越来越高端的改进的需要。然而,如今,在生成实时图像动画有很多问题。传统的仿真方法,巨大的计算和实际的渲染已经成为技术瓶颈。这个主题以火焰的一代动画作为一个例子来说明。的基础上深度剥离算法和纹理映射方法,不仅介绍了粒子系统建模,而且也为研究一个新的计算方程改进。研究结果显示如下。(1)该方法构建的模型具有优越的性能,大大提高;迭代后,误差值低至0.03和精度值高达98%。(2)500年以后模拟,有399种静态和动态火焰698种,分别; it takes 24.01 s and 98.21 s to generate 500 incomplete animations. (3) Compared with the particle system and deep learning model for flame animation recognition and detection, the highest false alarm rate of this model is 4.6%, and the lowest is 0.9%, and the experimental effect is stable; the highest recognition of flame animation can reach 99.2%, and the lowest is 98.5%. (4) Generally speaking, experts and ordinary people have a high evaluation on the effect of this model; except for the first group, the scores are all over 80%, and the highest score can reach 85.936%. Finally, the experimental results are good, which proves the effectiveness and feasibility of this method, which has certain research contribution value. However, for the follow-up work, the algorithm and model have room for further improvement. SN - 1687-725X UR - https://doi.org/10.1155/2022/2580575 DO - 10.1155/2022/2580575 JF - Journal of Sensors PB - Hindawi KW - ER -