3D foot scanning using multiple RealSense cameras
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3D foot scanning using multiple RealSense cameras Munan Yuan 1,2 & Xiaofeng Li 1,2 & Jinlin Xu 1,2 & Chaochuan Jia 3 & Xiru Li 1,2 Received: 19 December 2018 / Revised: 26 May 2020 / Accepted: 9 September 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
3D scanning of the foot is of great significance for footwear customization, intelligent shoe size recommendation and foot disease diagnosis. In this paper, we propose a 3D foot scanning system that consists of four Intel RealSense cameras and one host PC and scans both feet simultaneously. A novel calibration method that is based on a Tower-type block was proposed for calculating the extrinsic parameters of multiple RGB-Depth cameras. The Tower-type block was designed to realize the automatic execution of the multicamera calibration process and reduce the operational complexity. This paper introduced the complete procedure of the system, including partial view scanning, point cloud filtering, registration, and non-visible area filling, reconstruction and foot measurement. The presented experimental results demonstrated that the proposed methods were efficient and versatile approaches for 3D foot scanning. Keywords 3D scanning . Calibration . Reconstruction . RealSense
1 Introduction In the traditional footwear industry, shoes are categorized according to length and width to fit the population. People generally select shoes only depend on their foot sizes even with some discomfort, which causes hidden dangers of foot disease [21, 33]. The customized shoe last with traditional manual methods have time-consuming and complex processes [15, 34]. With the development of optical measurement technology, binocular vision, phase measurement, digital holography and structured light methods develop as the major machine measurement for mass shoe customization. These optical methods measure foot parameters with a complex and expensive way [14, 19, 20]. Nowadays, 3D geometry models of real-world objects have * Munan Yuan [email protected]
1
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
2
University of Science and Technology of China, Hefei 230026, China
3
Shandong University of Science and Technology, Qingdao 266590, China
Multimedia Tools and Applications
been employed to collect anthropometric data for many application scenarios [23, 24]. There are several pioneering works, which focusing on interesting foot scene reconstruction from 3D scanner, have been studied extensively in computer graphics [9, 31]. Important researches have been obtained that are reliable to extract foot dimensions, compared with traditional methods [12, 26, 27]. 3D foot scanner has become a hot topic, which is of great significance for mass footwear customization, intelligent shoe size recommendation and foot disease diagnosis [22, 27, 28]. With the development of optical measurement technology, 3D foot scanners that use various technologies have been developed for obtaining the 3D shapes of feet [13, 18]. Som
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