@inproceedings{4c5112c6398045eaa28bd954a7ad0e5f,
title = "MR sand table: Mixing real-time video streaming in physical models",
abstract = "A novel prototype of MR (Mixed Reality) Sand Table is presented in this paper, that fuses multiple real-time video streaming into a physically united view. The main processes include geometric calibration and alignment, image blending and the final projection. Firstly we proposed a two-step MR alignment scheme which estimates the transform matrix between input video streaming and the sand table for coarse alignment, and deforms the input frame using moving least squares for accurate alignment. To overcome the video border distinction problem, we make a border-adaptive image stitching with brightness diffusion to merge the overlapping area. With the projection, the video area can be mixed into the sand table in real-time to provide a live physical mixed reality model. We build a prototype to demonstrate the effectiveness of the proposed method. This design could also be easily extended to large size with help of multiple projectors. The system proposed in this paper supports multiple user interaction in a broad area of applications such as surveillance, demonstration, action preview and discussion assistances.",
keywords = "Mixed Reality, Sand Table, Spatial Augmented Reality, Video Streaming",
author = "Zhong Zhou and Zhiyi Bian and Zheng Zhuo",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 19th IEEE Virtual Reality, VR 2017 ; Conference date: 18-03-2017 Through 22-03-2017",
year = "2017",
month = apr,
day = "4",
doi = "10.1109/VR.2017.7892265",
language = "英语",
series = "Proceedings - IEEE Virtual Reality",
publisher = "IEEE Computer Society",
pages = "239--240",
booktitle = "2017 IEEE Virtual Reality, VR 2017 - Proceedings",
address = "美国",
}