| Title | A 3D Reconstruction Method for Augmented Reality Sandbox Based on Depth Sensor |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Wang, Xindan, Chen, Qu, Li, Zhi |
| Conference Name | 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA) |
| Keywords | 3D reconstruction, augmented reality, Augmented Reality Sandbox, Collaboration, composability, Conferences, Data models, depth sensor, Europe, Microsoft Kinect, Policy Based Governance, pubcrawl, Sandboxing, Solid modeling, Technological innovation, terrain reconstruction, Three-dimensional displays, visualization |
| Abstract | This paper builds an Augmented Reality Sandbox (AR Sandbox) system based on augmented reality technology, and performs a 3D reconstruction for the sandbox terrain using the depth sensor Microsoft Kinect in the AR Sandbox, as an entry point to pave the way for later development of related metaverse applications, such as the metaverse architecting and visual interactive modeling. The innovation of this paper is that for the AR Sandbox scene, a 3D reconstruction method based on depth sensor is proposed, which can automatically cut off the edge of the sandbox table in Kinect field of view, and accurately and completely reconstruct the sandbox terrain in Matlab. |
| DOI | 10.1109/ICIBA52610.2021.9687867 |
| Citation Key | wang_3d_2021 |
A 3D Reconstruction Method for Augmented Reality Sandbox Based on Depth Sensor