<p>The display of the Song Mausoleum Site aims to present the historical and cultural connotations of the Song Mausoleum to tourists through various forms. Traditional virtual reality display methods often fail to recreate the historical scenes of the Song Mausoleum realistically and lack interactivity and immersion. Therefore, this study designed an immersive display system for the Song Mausoleum site that combines artificial intelligence, utilizing a display mode that alternates between virtual reality technology and the real environment. At the same time, an improved iterative nearest point algorithm based on block iteration was introduced to achieve high-precision registration. The experimental results showed that the average registration time of the improved algorithm was only 28.38&#xa0;s, and its registration accuracy was as high as 97.16%. The average registration time of the traditional iterative nearest point algorithm was as high as 102.08&#xa0;s, and its registration accuracy was reduced to 66.16%. Moreover, the experimenters who used virtual reality technology to alternate with the real environment exhibited the best viewing time and satisfaction results. The average exhibition time was 28.94&#xa0;min, with an average satisfaction score of 98.84 points, significantly better than the other two exhibition modes. This indicates that the proposed depth image registration method, virtual reality technology and immersive Song Mausoleum site display mode have significant advantages and practical applicability, providing reliable technical support for the protection and display of modern ancient sites.</p>

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Enhancing the immersive display of the Song Mausoleum site: integrating AI-driven virtual reality and high-precision depth image registration

  • Xiaohui Chu,
  • Hu Chen

摘要

The display of the Song Mausoleum Site aims to present the historical and cultural connotations of the Song Mausoleum to tourists through various forms. Traditional virtual reality display methods often fail to recreate the historical scenes of the Song Mausoleum realistically and lack interactivity and immersion. Therefore, this study designed an immersive display system for the Song Mausoleum site that combines artificial intelligence, utilizing a display mode that alternates between virtual reality technology and the real environment. At the same time, an improved iterative nearest point algorithm based on block iteration was introduced to achieve high-precision registration. The experimental results showed that the average registration time of the improved algorithm was only 28.38 s, and its registration accuracy was as high as 97.16%. The average registration time of the traditional iterative nearest point algorithm was as high as 102.08 s, and its registration accuracy was reduced to 66.16%. Moreover, the experimenters who used virtual reality technology to alternate with the real environment exhibited the best viewing time and satisfaction results. The average exhibition time was 28.94 min, with an average satisfaction score of 98.84 points, significantly better than the other two exhibition modes. This indicates that the proposed depth image registration method, virtual reality technology and immersive Song Mausoleum site display mode have significant advantages and practical applicability, providing reliable technical support for the protection and display of modern ancient sites.