<p>With advancements in technology, virtual restoration of garden heritage has gained significant attention, yet the restoration of stone settings remains underexplored. Stone setting, small and naturally flexible, are vital elements in Chinese classical gardens. This paper introduces a comprehensive method for their virtual restoration, encompassing evidence verification, data acquisition, model creation, evaluation, and utilization of results. The approach aims to achieve high-precision restoration of complex stone settings using 3D digital technology. Applied to the Lingfeng stone in Wenyuan Pavilion of Yuanmingyuan, the method involves 3D digitization for existing parts and photo perspective reversion, grid positioning, and informed speculation for missing sections. The model’s accuracy is scientifically assessed, and the restoration results are effectively utilized. This case study confirms the method’s efficacy in high-precision virtual restoration, supporting the preservation and promotion of stone elements in classical gardens and enhancing the dissemination of garden heritage restoration achievements.</p>

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A high precision virtual restoration method for stone setting exemplified by Lingfeng Stone

  • Xiaoxiao He,
  • Yuqing Xiao,
  • Shizhen Jia,
  • Zhiguo Zhang,
  • Xinchen Li,
  • Cuiyu Ouyang,
  • Ruipeng Lin,
  • Ke Qin

摘要

With advancements in technology, virtual restoration of garden heritage has gained significant attention, yet the restoration of stone settings remains underexplored. Stone setting, small and naturally flexible, are vital elements in Chinese classical gardens. This paper introduces a comprehensive method for their virtual restoration, encompassing evidence verification, data acquisition, model creation, evaluation, and utilization of results. The approach aims to achieve high-precision restoration of complex stone settings using 3D digital technology. Applied to the Lingfeng stone in Wenyuan Pavilion of Yuanmingyuan, the method involves 3D digitization for existing parts and photo perspective reversion, grid positioning, and informed speculation for missing sections. The model’s accuracy is scientifically assessed, and the restoration results are effectively utilized. This case study confirms the method’s efficacy in high-precision virtual restoration, supporting the preservation and promotion of stone elements in classical gardens and enhancing the dissemination of garden heritage restoration achievements.