The Design of Virtual Exhibition and Interactive Teaching Mode of Cave Art Supported by Augmented Reality Technology

Authors

  • Junlei Li School of Education, Longdong University, Qingyang, Gansu, 745000, China

DOI:

https://doi.org/10.70917/ijcisim-2025-0202

Keywords:

ORM-SLAM improvement algorithm; cave art virtual exhibition; interactive teaching; spatial mapping; augmented reality

Abstract

The increasing development and maturity of augmented reality technology has injected new vitality into the model updating of digital display and educational inheritance of grotto art. In this paper, ORB algorithm is selected as the benchmark algorithm for image recognition of digital display of art works. Aiming at the low matching efficiency of the original ORM-SLAM algorithm and the redundant volume of the algorithm, the adaptive histogram equalization algorithm is used to preprocess the target image to form an improved ORM-SLAM algorithm that can efficiently track the matching of key points. Combined with the grotto artwork model matching method, the grotto artwork model based on augmented reality technology is constructed. The Hololens device is used as the realization carrier to design the realization scheme of virtual exhibition of cave art works under space mapping. Accordingly, the practical strategy of grotto art works in interactive teaching mode is proposed, under the guidance of this strategy, the mean value of the performance rating of the experimental subjects' grotto art works is 85.57, which is rated as excellent. The experimental results show that the interactive teaching mode under the virtual exhibition program in this paper can comprehensively display the contents and connotations of the cave art works, and effectively promote the enhancement of students' artistic literacy.

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Published

2025-12-17

How to Cite

Junlei Li. (2025). The Design of Virtual Exhibition and Interactive Teaching Mode of Cave Art Supported by Augmented Reality Technology. International Journal of Computer Information Systems and Industrial Management Applications, 17, 16. https://doi.org/10.70917/ijcisim-2025-0202

Issue

Section

Original Articles