Calibration of Multiple Depth Sensor Network Using Reflective Pattern on Spheres: Theory and Experiments

Abstract

SUMMARYThe usage of depth data from time-of-flight or any equivalent devices overcomes visual challenges presented under low illumination. For integrating such data from multiple sources, the paper proposes a novel tool for the calibration of sensors. The proposed tool consists of retro-reflective stripped spheres. To correctly estimate these spheres, the paper investigates the performance of spherical estimations from either infrared or depth data. The relationship between sensors is determined by calculating the poses between the calibration tool and each sensor. The paper evaluates and compares the proposed approach against other state-of-the-art approaches in terms of shape reconstruction and spatial consistency.