| Title | Research on MR virtual scene location method based on image recognition |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Li, Taojin, Lei, Songgui, Wang, Wei, Wang, Qingli |
| Conference Name | 2020 International Conference on Information Science, Parallel and Distributed Systems (ISPDS) |
| Keywords | ACE, Gold, image recognition, mixed reality, pubcrawl, Resiliency, Scalability, signature based defense, Virtual scene registration, Vuforia |
| Abstract | In order to solve the problem of accurate positioning of mixed reality virtual scene in physical space, this paper, firstly, analyzes the positioning principle of mixed reality virtual scene. Secondly, based on the comparison among the three developer kits: ARToolKit, ARTag, and Vuforia and two image optimization algorithms: AHE and ACE, it makes sure to use Vuforia development tool to complete the signature-based tracking and registration task, and use ACE algorithm to optimize the signature-based image. It improves the efficiency, stability and accuracy of image recognition registration. Then the multi-target recognition and registration technology is used to realize the multi-location of virtual scene. Finally, Hololens glasses are used as the hardware carrier to verify the above method. The experimental results show that the above method not only realizes the precise location of MR virtual scene based on image recognition, but also ensures the absolute position of the virtual model in the real space, bringing users a more real virtual experience. Keywords-mixed reality, multi-person collaboration, virtual positioning, gesture interaction. |
| DOI | 10.1109/ISPDS51347.2020.00030 |
| Citation Key | li_research_2020 |
Research on MR virtual scene location method based on image recognition