Architectural Interior Design and Space Layout Optimization Method Based on VR and 5G Technology

页面布局 计算机科学 室内设计 平面布置图 领域(数学) 空格(标点符号) 多元化(营销策略) 平面图(考古学) 建筑工程 绘图 工程制图 计算机图形学(图像) 工程类 业务 营销 考古 广告 操作系统 纯数学 历史 数学
作者
Yang Wu
出处
期刊:Journal of Sensors [Hindawi Limited]
卷期号:2022: 1-10 被引量:8
标识
DOI:10.1155/2022/7396816
摘要

With the continuous optimization of the living environment, people’s requirements for its comfort and cultural taste are also constantly improving, and their understanding and requirements for the appearance and style of the building and the layout of the building space have been further deepened, thus forming a situation of diversification and diversification of the style and form of the architectural appearance and interior design. There are a lot of layout problems in modern engineering and real life, and the indoor space layout is a very important branch. The indoor space layout focuses on the indoor scenes that people rely on for production and life. At the same time, indoor scene models are gradually applied to more and more fields. The urgent need for indoor scene modeling has also led to relevant research on indoor space layout. Because of its wide application prospects and great commercial value, indoor space layout has become an important research topic in the field of computer graphics and computer vision. As the computer-aided design is widely used in the field of intelligent design, indoor space layout has also become an important research field. Focusing on the automatic design and optimization of indoor space layout, this paper proposes an optimization method based on design constraints for the automatic generation of a layout plan based on the given layout boundary or layout space. The room units in the interior space layout are represented by polygons composed of multiple rectangles, and the constraints and rules in the layout design are transformed into constraints on related rectangles. Experimental results show that our scene redirection method is effective. Comparing with the results of uniform scaling further proves the effectiveness of our redirection algorithm.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ding应助LeeChanmn采纳,获得10
刚刚
1秒前
老王完成签到,获得积分10
2秒前
手撕蛋发布了新的文献求助10
2秒前
3秒前
gxl完成签到,获得积分10
4秒前
6秒前
木辛艺发布了新的文献求助10
6秒前
科研通AI2S应助优雅草丛采纳,获得10
7秒前
7秒前
7秒前
yy完成签到,获得积分10
8秒前
8秒前
阳哥完成签到,获得积分10
9秒前
9秒前
10秒前
RicardoZhou完成签到,获得积分10
10秒前
J.发布了新的文献求助10
11秒前
12秒前
阳哥发布了新的文献求助10
12秒前
壁虎君发布了新的文献求助10
13秒前
科研通AI2S应助jimskylxk采纳,获得10
13秒前
13秒前
科目三应助wuli采纳,获得10
13秒前
傻傻的夜柳应助刘松采纳,获得10
14秒前
寒冷书包发布了新的文献求助10
14秒前
yy发布了新的文献求助10
16秒前
16秒前
17秒前
17秒前
飞快的万声完成签到,获得积分10
17秒前
18秒前
加菲丰丰应助木辛艺采纳,获得30
18秒前
19秒前
孤独的狼完成签到,获得积分10
20秒前
共享精神应助虚心的冷雪采纳,获得10
20秒前
20秒前
21秒前
21秒前
21秒前
高分求助中
Востребованный временем 2500
Les Mantodea de Guyane 1000
Very-high-order BVD Schemes Using β-variable THINC Method 950
Field Guide to Insects of South Africa 660
The Three Stars Each: The Astrolabes and Related Texts 500
The Collected Works of Jeremy Bentham: Rights, Representation, and Reform: Nonsense upon Stilts and Other Writings on the French Revolution 320
Machine Learning in Chemistry 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3386569
求助须知:如何正确求助?哪些是违规求助? 2999668
关于积分的说明 8786168
捐赠科研通 2685344
什么是DOI,文献DOI怎么找? 1470946
科研通“疑难数据库(出版商)”最低求助积分说明 680031
邀请新用户注册赠送积分活动 672656