Design of Outdoor Space Based on Human-machine Interaction and Deep Learning

被引:0
|
作者
Li, Ju [1 ]
Pan, Jieqing [2 ]
Zhou, Ganmiao [2 ]
机构
[1] Software Engineering Institute of Guangzhou, Guangzhou,510990, China
[2] Guangdong Communications Polytechnicy, Guangzhou,510650, China
来源
关键词
Audition - Clustering algorithms - Computer aided design - Deep learning - Learning systems;
D O I
10.14733/cadaps.2024.S7.88-103
中图分类号
学科分类号
摘要
In essence, human-machine interaction (HMI) is the expansion of human wisdom and skills. It uses computers to simulate human senses such as vision, hearing and touch, and realizes efficient natural HMI between visitors and exhibits through 3D HMI technology. As the media of information integration, outdoor interactive space has achieved better display effect through cutting-edge interactive technology in its design process. Aiming at the complex outdoor scene, this article proposes a computer-aided design (CAD) method of outdoor space based on HMI and deep learning (DL). The laser point cloud mapped into a two-dimensional horizontal grid is divided into vertical units and horizontal units by using an adaptive variable threshold clustering algorithm, and the suspended environment characteristics in a 3D scene are effectively expressed. The results and data analysis prove the effectiveness and practicability of the outdoor space CAD method in this article. © 2024 U-turn Press LLC.
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页码:88 / 103
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