基于点云获取与推荐系统的虚拟家居系统

Virtual Home System Based on Point Cloud Acquisition and Recommendation System

在互联网经济蓬勃发展的同时,大众人群对家具饰品的购置也开始由线下转为线上,但随之而来的问题就是线上交易不具备实物预览功能,导致所购物品实用效果不佳,退货率较高的问题。而3D扫描技术的成熟与虚拟家居,VR看房等新兴产业的崛起给研究者一种新的思路以满足购物者对实际产品预览的需求。文章运用文献研究法,跨学科研究法与模拟法,给出了一种基于3D扫描技术生成模型技术与社交网络数据推荐系统的虚拟现实交易系统架构,实现大量商品数据的非人工生成与智能检索推荐,以在一定程度上消除购物疑虑,减少物流成本,促进服装电子商务的发展。

With the vigorous development of the Internet economy, the purchase of furniture accessories by the public began to change from offline to online, but the subsequent problem is that online transactions do not have the physical preview function, resulting in poor practical effect and high return rate. The maturity of 3D scanning technology and the rise of emerging industries such as virtual home and VR showings have given us a new idea to meet the needs of shoppers for actual product preview. Using the methods of literature research, interdisciplinary research and simulation, this paper presents a virtual reality transaction system architecture based on 3D scanning technology to generate model technology and social network data recommendation system, and achieves the non-manual generation and intelligent retrieval recommendation of a large number of commodity data, in order to eliminate shopping doubts, reduce logistics costs, and promote the development of clothing e-commerce to a certain extent.