人体模型三维重建方法及其在时尚电子商务中的应用综述

Ivaylo Vladimirov, Desislava Nikolova, Zornitsa Terneva
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引用次数: 3

摘要

在这篇科学论文中,概述了用于从行动中的人的2D视频重建3D人体模型的不同方法和算法。这些方法适用于日益增长的电子商务业务。由于全球变暖和冠状病毒大流行的新挑战,服装行业必须做出许多发展,以使分支机构更加可持续和环保。在这个全球化的时代,许多品牌在国际上生产和销售他们的产品,并使用长途运输来分发和交付给他们的商店和客户。在网上购物时,人们很担心衣服“尺码不对”或“商品不对”。为了解决这个问题,公司为客户提供退货的机会,但这本身就是一个问题,因为这增加了他们的碳足迹,并造成了不必要的污染。一种可能的解决方案可能来自计算机视觉应用程序的使用——开发一种用于估计尺寸或虚拟试穿衣服的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview of Methods for 3D Reconstruction of Human Models with Applications in Fashion E-Commerce
In this scientific paper, an overview of different methodologies and algorithms used for the reconstruction of 3D human models from 2D videos of people in action is presented. These methods could be applicable in the growing e-commerce business. Due to emerging challenges of global warming and the coronavirus pandemic, many developments in the apparel industry must be made in order to make the branch more sustainable and eco-friendly. In this time of globalisation, many brands produce and sell their items internationally and use long-distance shipping to distribute and deliver to their shops and clients. With online shopping, there is a big concern with clothing being the “wrong size” or “wrong item”. To tackle this problem companies, offer their clients the opportunity to return ill-fitting items, but that is a problem in itself, because it increases their carbon footprint and it creates unnecessary pollution. A possible solution may come from the use of a computer vision application - the development of a system for size estimation or trying on clothes virtually.
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