首页> 外文会议>International Mobile, Intelligent, and Ubiquitous Computing Conference >Generating 3D Model for Human Body Shapes from 2D images using Deep Learning
【24h】

Generating 3D Model for Human Body Shapes from 2D images using Deep Learning

机译:使用深度学习从2D图像生成人体形状的3D模型

获取原文

摘要

Online shopping started to grow all over the world in the last decade, predominantly in the last year due to COVID19. As a result of the lockdown and because many people did not want to take the risk of visiting stores not to be infected, customers direct their full attention to online shopping. That affected both customers and stores’ owners since customers always spend a long time trying to pick the right size and fail most of the time causing high percentage of returns which affects stores’ sales. In this paper part of the solution is introduced by collecting 5 anthropometric parameters from the user and the rest is predicted using an imputation strategy. Feature selection techniques are also applied and a 3D model for the human body is presented to the user on a mobile application.
机译:在过去十年中,在线购物开始在世界各地壮大,主要是由于Covid19的去年。 由于锁定而且由于许多人不想冒险冒险的风险不感染,客户会直接关注网上购物。 这影响了客户和商店的所有者,因为客户总是花很长时间试图挑选正确的尺寸,并且大部分时间都会导致影响商店销售的高百分比。 在本文中,通过从用户收集5个人测量参数来引入解决方案的一部分,并且使用归纳策略预测其余部分。 还应用特征选择技术,并且对移动应用程序向用户呈现人体的3D模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号