SBIR Phase I: Virtual Footwear Fitting System

小型企业创新研究(SBIR)第一阶段项目的更广泛影响/商业潜力是解决与在线订购服装和鞋子相关的最常见问题之一，即无法知道物品将如何适应。正在开发的技术是一种利用用户自己的脚部几何形状的虚拟鞋类试穿系统(VFFS)。虚拟试穿体验将根据不同鞋型的舒适度和支撑度给出尺码建议。这将降低在线鞋类零售商35%的退货率，从而减少他们仅在美国估计的15亿美元的年度损失。减少与在线订购相关的风险因素将有助于人们充分受益于在线零售商的便利性和大量选择。回报率的降低将减少约3000万年回报率的碳足迹。VFFS将面向大众，并将为计算机辅助设计、有限元分析和计算机视觉等3D建模领域创造巨大的曝光率。智能手机的3D扫描有着无穷无尽的应用，而虚拟试衣技术将有助于使计算机视觉原理更适合这些应用。虚拟试衣为大规模定制打开了大门，这是鞋类和服装的未来。这项技术将帮助我们的社会更接近一个为我们量身定做、方便和负担得起的世界。该项目专注于开发一个虚拟鞋类试穿系统，以降低在线零售的退货率。该系统由足部扫描仪、鞋部扫描仪和试穿算法三部分组成。网购者将使用他们的智能手机扫描他们的脚，并获得3D模型。针对这一特定应用，正在开发一种摄影测量算法。它利用脚部特征识别和智能手机加速输出，在不同的图像捕获环境中构建精度为1 mm的3D模型。一种自适应内体积(AIV)扫描仪正在开发中，它可以扫描鞋子的内部体积，并与外部扫描相结合，以提供具有0.5 mm精度和材料硬度的3D鞋子模型。试穿算法将比较脚部和鞋子扫描，以执行全面的试穿分析，为在线购物者提供一种方法，以了解他们需要的鞋子尺寸，以及他们潜在购买的舒适度。到本项目结束时，将开发出一个基本的虚拟试衣平台。它将允许用户用iPhone扫描他或她的脚，并根据舒适度、支撑度和合脚偏好，获得他或她个人选择的±0.5码范围内的特定鞋子的尺码建议。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is in addressing one of the most common problems associated with ordering clothing and shoes online, which is the inability to know how things will fit. The technology being developed is a virtual footwear fitting system (VFFS) utilizing a user's own foot geometry. The virtual fitting experience will give size recommendations based on comfort levels and support levels for different shoe models. This will reduce the 35% return rate of online footwear retailers and thereby reduce their estimated $1.5 billion in annual losses in the US alone. Reducing the risk factor associated with online ordering will help people benefit fully from the convenience and large selection of online retailers. The reduction in return rate will reduce the carbon footprint of some 30 million annual returns. The VFFS will be available to the masses and will create a large exposure for 3D modeling fields such as computer aided design, finite element analysis and computer vision. 3D scanning with smartphones has endless applications, and the virtual fitting technology will help make computer vision principles more adapted for those applications. Virtual fitting opens the doors for mass customization, which is the future of footwear and garments. The technology will help bring our society closer to a world where things are tailored for us, convenient and affordable.This project focuses on the development of a virtual footwear fitting system to reduce the return rate of online retail. The system consists of a foot scanner, shoe scanner and fitting algorithm. Online shoppers will use their smartphones to scan their feet and obtain a 3D model. A photogrammetry algorithm is being developed for this specific application. It utilizes feature recognition of the foot along with smartphone acceleration outputs to construct a 3D model with 1 mm accuracy in different image capturing environments. An adaptive inner volume (AIV) scanner is being developed to scan the inner volume of shoes that is combined with an outer scan to give a 3D shoe model with 0.5 mm accuracy along with material stiffness. The fitting algorithm will compare foot and shoe scans to perform a comprehensive fitting analysis giving online shoppers a way to know what shoe size they need and how comfortable their potential purchase will be. By the end of this project, a basic virtual fitting platform will be developed. It will allow a user to scan his or her foot with an iPhone and obtain a size recommendation for a specific shoe within ±0.5 size of his or her personal choice based on comfort levels, support levels and fit preferences.