Real time dense 3D object reconstruction using RGB D sensor
In this paper, we propose a new algorithm for dense 3D object reconstruction using a RGB D sensor at high rate. In order to obtain a dense shape recovery of a 3D object, an efficient merging of the current and incoming point clouds obtained with the Iterative Closest Point is suggested. As a result, incoming frames are aligned to the dense 3D model. The accuracy of the proposed 3D object reconstruction algorithm on real data is compared to that of the estate of the art reconstruction algorithms.
Optical Engineering Applications