A Simple Geometrical-Based Calibration Technique for 3D Scanners with Rotating Platform

Abstract

Active three-dimensional (3D) scanning techniques usually create 3D models of real scenes by using known light patterns reflected by surfaces and captured by cameras. Each scanning technique has its own implementation issues, which can impact on its complexity, processing time and data precision. This paper proposes a simple geometrical-based calibration technique for 3D scanners with rotating platform. As we focus on low-cost and accessibility, the scanning system was implemented using offthe-shelf components. Also its structure was designed to be 3D printed. Two objects are scanned and their point clouds are used to assess the system performance. Results show that the proposed model presents a good trade-off between accuracy and implementation complexity with an average accuracy error equals to 0.196 mm and a mean squared error (MSE) smaller than 4.65%.