3D foot scanning using multiple RealSense cameras

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 multi-camera 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.

Automated summary

This paper introduces a 3D foot scanning system composed of four Intel RealSense cameras, with a novel calibration method based on a Tower-type block for multiple camera calibration. The complete procedure of the system, including point cloud filtering, registration, reconstruction, and foot measurement, is presented. Experimental results demonstrate the efficiency and versatility of the proposed methods for 3D foot scanning.