3D Pose Estimation Using Low Resolution Time-of-Flight(ToF) Cameras

摘要

Time-of-Flight(ToF) cameras developed rapidly in recent years, but its low resolution limits its application. In this paper, we propose a new method to estimate the object's 3D pose using a single ToF camera. We use the Iterative Closest Points(ICP) algorithm based on the Normal Aligned Radial Feature(NARF) to achieve the pose estimation of the target. The experimental results show that this method can accurately estimate the 3D pose of an object using a low-resolution ToF camera.