Abstract
Foot measurement is necessary for personalized customization. Nowadays, people usually obtain their foot size by using a ruler or foot scanner. However, there are some disadvantages to this, namely, large measurement error and variance when using rulers, and high price and poor convenience when using a foot scanner. To tackle these problems, we obtain foot parameters by 3D foot reconstruction based on mobile phone photography. Firstly, foot images are taken by a mobile phone. Secondly, the SFM (Structure-from-Motion) algorithm is used to acquire the corresponding parameters and then to calculate the camera position to construct the sparse model. Thirdly, the PMVS (Patch-based Multi View System) is adopted to build a dense model. Finally, the Meshlab is used to process and measure the foot model. The result shows that the experimental error of the 3D foot reconstruction method is around 1 mm, which is tolerable for applications such as shoe tree customization. The experiment proves that the method can construct the 3D foot model efficiently and easily. This technology has broad application prospects in the fields of shoe size recommendation, high-end customized shoes and medical correction.
Highlights
In the era of Industry 4.0, consumers are paying more and more attention to the demand for personalized products
To tackle the problems of large measurement error manual measurement and the poor convenience of foot scanners, this paper proposes a 3D model reconstruction method based on mobile phone photographs
The experimental error of foot length and foot width of the 3D foot reconstruction method used in this paper is 1.09 mm and 1.07 mm, respectively
Summary
In the era of Industry 4.0, consumers are paying more and more attention to the demand for personalized products. Users hope to obtain a 3D foot model in a convenient way without leaving home. To achieve this goal, the first step is to achieve fast and automatic measurement of foot parameters. To tackle the problems of large measurement error manual measurement and the poor convenience of foot scanners, this paper proposes a 3D model reconstruction method based on mobile phone photographs. The experimental error of the 3D foot reconstruction method is around 1mm compared with the manual measurement, which is close to the scanning result of the foot scanner and is tolerable for applications such as shoe tree customization. The follow-up structure of the paper is as follows—Section 2 introduces the existing techniques and methods of 3D reconstruction; Section 3 describes the principle and algorithm flow of the 3D model reconstruction of the foot based on mobile phone photography; Section 4 provides experimental results and analysis; Section 5 summarizes the full text and analyzes future development trends
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