A Simple 3D Scanning System of the Human Foot Using a Smartphone with a Depth Camera
A Simple 3D Scanning System of the Human Foot Using a Smartphone with a Depth Camera
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DOI：
10.15221/18.161
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发表时间：
2018-10
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影响因子：
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通讯作者：
Takumi Kobayashi;Naoto Ienaga;Yuta Sugiura;H. Saito;N. Miyata;M. Tada
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文献类型：
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作者：
Takumi Kobayashi;Naoto Ienaga;Yuta Sugiura;H. Saito;N. Miyata;M. Tada
近年来，网上购买衣服和鞋子变得越来越普遍。虽然这很方便，但很难选择正确的鞋码。虽然3D足部扫描仪可以精确地测量足部尺寸和形状，但这种昂贵且大型的设备通常不适合个人使用，并且需要一些简单且精确的3D足部测量方法。最近开发的具有深度相机的智能手机能够更容易地测量3D形状，本文描述了一种使用由这种相机从多个方向捕获的3D点云来测量脚形的方法。由于3D点云可能包含噪声或可能忽略脚的遮挡部分，因此我们建议使用由精确的3D形状扫描仪收集的3D脚形状数据集。我们展示了如何通过对该数据集进行主成分分析来生成可变形模型，从而最大限度地减少错误，以恢复整个足部的完整和高精度的3D轮廓。我们通过将如此产生的3D形状与由3D扫描仪测量的3D形状进行比较来测试这种方法。所提出的方法被发现扫描脚的形状，误差约为1.13毫米。实验证明，我们的工作的贡献是在引入基于主成分分析的3D脚的形状的可变形模型，使准确的形状模型可以从通过智能手机输入获得的噪声和闭塞的3D点云计算。
In recent years, online purchasing of clothes and shoes has become increasingly common. Although this is convenient, it can be difficult to choose the correct shoe size. While 3D foot scanners can accurately measure foot size and shape, this expensive and large scale equipment is not generally accessible for personal use, and there is a need for some simple and accurate means of measuring the foot in 3D. Recently developed smartphones with depth cameras enable easier measurement of 3D shapes, and this paper describes a method for measuring foot shape using a 3D point cloud captured from multiple directions by such a camera. As a 3D point cloud can potentially include noise or may omit occluded parts of the foot, we propose the use of a dataset of 3D foot shapes collected by a precise 3D shape scanner. We show how a deformable model can be generated by performing a principal component analysis on this dataset, minimizing error to recover a complete and high-accuracy 3D profile of the entire foot. We tested this method by comparing the 3D shape so produced to the 3D shape measured by the 3D scanner. The proposed method was found to scan foot shape with an error of about 1.13 mm. As demonstrated experimentally, the contribution of our work is in introducing the deformable model of 3D foot shapes based on principal component analysis, so that accurate shape models can be calculated from noisy and occluded 3D point clouds obtained via smartphone input.