Reconstruction of Visual Appeal and Renewal of Dynamic Environments: Computational Methods and Innovative Strategies in the Future-oriented Digital Transformation of Heritage Museums

In the context of the digital economy driven by the Internet of Everything, the dissemination of cultural heritage is facing the challenge of transitioning from traditional to digital media.The study develops an introduction to the visual SLAM system, models the binocular camera configuration and the indoor and outdoor dense 3D reconstruction process, and designs a complete set of algorithms based on the calibration of the actual binocular camera, image correction, binocular stereo matching algorithm (S-ELAS), and real-time dense point cloud 3D reconstruction.Based on the real laboratory scene, the original ELAS algorithm is compared with the improved method for experiments, and the results show that the mean value of the deviation of the optimized S-ELAS algorithm is -0.046m, and the algorithm accuracy is remarkable.Then a virtual cultural relics museum based on the combination of visual S-ELAM system and VR technology is designed to realize close interaction with S-ELAS stereo matching algorithm.In order to test the performance of the designed cultural relics museum system, the users are firstly acclimatized, and then the screened users are tested to experience the virtual museum system, and the MOS scores are made after the test.The MOS scores show that the virtual cultural relics museum system has better interactivity and experience.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-16
DOI
https://doi.org/10.61091/jcmcc127a-356
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00
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article

Reconstruction of Visual Appeal and Renewal of Dynamic Environments: Computational Methods and Innovative Strategies in the Future-oriented Digital Transformation of Heritage Museums

Journal of Combinatorial Mathematics and Combinatorial Computing
3D Surveying and Cultural Heritage
article

Reconstruction of Visual Appeal and Renewal of Dynamic Environments: Computational Methods and Innovative Strategies in the Future-oriented Digital Transformation of Heritage Museums

article en

Abstract

In the context of the digital economy driven by the Internet of Everything, the dissemination of cultural heritage is facing the challenge of transitioning from traditional to digital media.The study develops an introduction to the visual SLAM system, models the binocular camera configuration and the indoor and outdoor dense 3D reconstruction process, and designs a complete set of algorithms based on the calibration of the actual binocular camera, image correction, binocular stereo matching algorithm (S-ELAS), and real-time dense point cloud 3D reconstruction.Based on the real laboratory scene, the original ELAS algorithm is compared with the improved method for experiments, and the results show that the mean value of the deviation of the optimized S-ELAS algorithm is -0.046m, and the algorithm accuracy is remarkable.Then a virtual cultural relics museum based on the combination of visual S-ELAM system and VR technology is designed to realize close interaction with S-ELAS stereo matching algorithm.In order to test the performance of the designed cultural relics museum system, the users are firstly acclimatized, and then the screened users are tested to experience the virtual museum system, and the MOS scores are made after the test.The MOS scores show that the virtual cultural relics museum system has better interactivity and experience.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Sustainable cities and communities
Openalex Percentile: Top 86%
3D Surveying and Cultural Heritage
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Reconstruction of Visual Appeal and Renewal of Dynamic Environments: Computational Methods and Innovative Strategies in the Future-oriented Digital Transformation of Heritage Museums · Journal of Combinatorial Mathematics and Combinatorial Computing (2025) | TGRS Research Map | TGRS