High-Definition 3D Reconstruction in Real-Time from a Moving Depth Sensor

This paper proposes a method to reconstruct 3D point clouds of a static scene in real-time by a moving depth sensor. Based on a base-line 3D reconstruction algorithm which fuses depth maps from the moving camera, a depth map enhancement module is embedded in the depth fusion stage to improve the level of details of reconstructed 3D models. Depth enhancements using the Sobel operator and the Laplacian operator are applied for speed and quality considerations. Experiments for real-time reconstruction of 3D scenes, especially the reconstruction of 3D human faces are provided to validate the proposed method. The reconstruction results are inspiring in their high definition compared with the original base-line algorithm.