Design and Research of Artwork Interactive Exhibition System Based on Multi-Source Data Analysis and Augmented Reality Technology

The current system has problems such as low efficiency of data processing, lack of smooth user experience and poor combination of display content and interactive technology, etc. There is a pressing need to optimize the integration of data analysis and augmented reality technology to improve the interactivity and visual appeal of exhibitions. This paper introduces and validates a combined prediction model based on multi-source data from the Internet. When using speeded-up robust features (SURF)-64 with a threshold of 500, the number of feature matches is 800, and the matching time is 162.85 ms. At a threshold of 1000, the number of matches drops to 510, and the time decreases to 96.54 ms. For SURF-128, the corresponding matches were 763 and 496, with times of 208.63 ms and 134.21 ms. This indicates that increasing the threshold not only reduces the number of matches but also shortens the matching time, likely due to fewer feature points simplifying the matching process.

@article{Chen2024,
  title     = {Design and Research of Artwork Interactive Exhibition System Based on Multi-Source Data Analysis and Augmented Reality Technology},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {11},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Xiao Chen and Qibin Wang},
  doi       = {10.14569/IJACSA.2024.01511105},
  url       = {https://doi.org/10.14569/IJACSA.2024.01511105}
}