摘要
为实现在VR环境下景点的全方面参观,提出一款基于VR技术的景观廊道三维可视化展示方法,以实现在虚拟环境中的景点参观。其中,VR环境下的用户行为选择PCA-LSTM网络进行分析。仿真结果表明,使用HSV颜色空间进行颜色空间的视觉编码能得到更加准确的分类结果;与其他模型网络相比,使用PCA-LSTM网络能够进行更加准确的用户行为分类,分类准确率达到了98%,证明了PCA-LSTM网络的优越性。以上实验结果验证本研究提出的基于VR环境的景观廊道三维展示方法的可行性,具有一定的实用价值。
In order to realize all-round visiting of scenic spots in VR environment, a 3 D visual display method of landscape corridor based on VR technology is proposed to realize visiting of scenic spots in virtual environment. Among them, the pca-lstm network is selected to analyze the user behavior in the VR environment. The simulation results show that using HSV color space for color space visual coding can get more accurate classification results;Compared with other model networks, pca-lstm network can classify user behavior more accurately, and the classification accuracy rate reaches 98%, which proves the superiority of pca-lstm network. The above experimental results verify the feasibility of the three-dimensional display method of the landscape corridor based on VR environment, which has certain practical value.
作者
肖学兵
XIAO Xuebing(Guanezhou Vocational Universit y of Science and Technology,Guanezhou 510550,China)
出处
《自动化与仪器仪表》
2022年第11期161-165,共5页
Automation & Instrumentation
基金
广东省教育研究院民办教育研究专项课题《乡村振兴战略背景下高职“非遗”技艺传承实践教学模式创新研究》(2021JD04)。
