中国邮电高校学报(英文) ›› 2023, Vol. 30 ›› Issue (5): 11-31.doi: 10. 19682 / j. cnki. 1005-8885. 2023. 0012

所属专题: Special Topic on Digital Human

• Special Topic : Digital Human • 上一篇    下一篇

3D reconstruction algorithm for movable cultural relics based on salient region optimization

王文灏1,赵海英2   

  1. 1. 北京信息科技大学
    2. 北京邮电大学
  • 收稿日期:2023-07-22 修回日期:2023-09-12 出版日期:2023-10-31 发布日期:2023-10-30
  • 通讯作者: 赵海英 E-mail:hxg510487306@qq.com
  • 基金资助:
    the National Key Research and Development Project (2021YFF0901700).

3D reconstruction algorithm for movable cultural relics based on salient region optimization

  1. 1. School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100192, China 2. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2023-07-22 Revised:2023-09-12 Online:2023-10-31 Published:2023-10-30
  • Supported by:

    the National Key Research and Development Project (2021YFF0901700).

摘要:

   How to protect cultural retics is of great significance to the transmission and dissemination of history and culture. Digital 3-dimensional (3D) modeling of cultural relics is an effective way to preserve them. The efficiency and complexity of cultural relic model reconstruction algorithms are significant challenges due to redundant data. To tackle the above issue, a 3D reconstruction algorithm, named COLMAP + LSH, was proposed for movable cultural relics based on salient region optimization. COLMAP + LSH algorithm introduces saliency region detection and locality-sensetive Hashing (LSH) to achieve efficient, accurate, and robust digital 3D modeling of cultural relics. Specifically, 400 cultural model data were collected through offline and online collection. COLMAP + LSH algorithm detects the salient region interactively and reduces the number of images in the salient region by feature diffusion. Additionally, COLMAP + LSH algorithm utilizes LSH to calculate the image selection scores and employs the image selection scores to reduce the redundant image. The experiments on the self-constructed cultural relics dataset show that COLMAP + LSH algorithm can efficiently achieve image feature diffusion and ensure the quality of artifact reconstruction while selecting most of the redundant image data.

关键词: 文物数字化|三维重建|显著区域检测|局部敏感哈希。

Abstract:

   How to protect cultural retics is of great significance to the transmission and dissemination of history and culture. Digital 3-dimensional (3D) modeling of cultural relics is an effective way to preserve them. The efficiency and complexity of cultural relic model reconstruction algorithms are significant challenges due to redundant data. To tackle the above issue, a 3D reconstruction algorithm, named COLMAP + LSH, was proposed for movable cultural relics based on salient region optimization. COLMAP + LSH algorithm introduces saliency region detection and locality-sensetive Hashing (LSH) to achieve efficient, accurate, and robust digital 3D modeling of cultural relics. Specifically, 400 cultural model data were collected through offline and online collection. COLMAP + LSH algorithm detects the salient region interactively and reduces the number of images in the salient region by feature diffusion. Additionally, COLMAP + LSH algorithm utilizes LSH to calculate the image selection scores and employs the image selection scores to reduce the redundant image. The experiments on the self-constructed cultural relics dataset show that COLMAP + LSH algorithm can efficiently achieve image feature diffusion and ensure the quality of artifact reconstruction while selecting most of the redundant image data.

Key words:

digitization of cultural relics, 3-dimensional (3D) reconstruction, saliency region detection, locality-sensetive Hashing (LSH)