RGB-D Camera-Based Scanner for Hand Measurement

Abstract

The application of additive manufacturing for production efficiency in industry is needed to produce a minimum cost burden, especially in the health sector. 3D scanning measurement using Intel RealSense camera with RGB-D camera type is used to measure the arm dimension of the patient to carry out the concept of additive manufacturing. This study was conducted based on anthropometric measurement data on a group of respondents who are samples of part of a population with certain conditions. In the upper limbs of humans, there are several points that become references in anthropometric measurements. The digital measurement tools used in this research are the Intel RealSense D435i RGB-D camera and the Intel RealSense SR300 coded light-based 3D system sense scanner. The results of the 3D scan are reconstructed with the stages of feature extraction, feature matching, registration, loop closure detection, pose graph optimization, and meshing. The results of 3D data processing conclude the camera that has an advantage in terms of good scanning results is the System Sense 3D Scanner with smaller error results compared to the Intel RealSense D435i depth camera.