3D spatial reconstruction and communication from vision field

Vision field describes the real world visual information by summarizing the seven-dimensional plenoptic function into three domains: view, light, time, from which a better understanding of previous 3D capture and reconstruction systems can be provided. In this paper, we first show how to reconstruct 3D spatial information from all the three attributes of the vision field, namely full-space vision field reconstruction. Then, based on Laplacian iterative geometry prediction, a 3D mesh coding algorithm with cascaded quantization is presented to facilitate the communication of the reconstructed 3D models from vision field. At last, experimental results of both the 3D spatial reconstruction and the 3D mesh coding are demonstrated.