Deformation Detection Method for Building Structures Based on Neural Radiance Fields

Author:

Chen Yanhang1ORCID,Zhang Xinfeng1ORCID,Zhu Jiakang1ORCID,Zhou Chenwei1ORCID,Li Gen2ORCID

Affiliation:

1. College of Information Engineering, Yangzhou University, China

2. Northwestern University, United States

Publisher

ACM

Reference18 articles.

1. Lovse J W, Teskey W F, Lachapelle G, Dynamic deformation monitoring of tall structure using GPS technology[J]. Journal of surveying engineering, 1995, 121(1): 35-40.

2. Liu Y F, Nie X, Fan J S, Image‐based crack assessment of bridge piers using unmanned aerial vehicles and three‐dimensional scene reconstruction[J]. Computer‐Aided Civil and Infrastructure Engineering, 2020, 35(5): 511-529.

3. Deformation Monitoring of a Building Structure Using a Motion Capture System

4. Mildenhall B, Srinivasan P P, Tancik M, Representing scenes as neural radiance fields for view synthesis., 2021, 65[J]. DOI: https://doi. org/10.1145/3503250, 99-106.

5. Chen H,Wang P, Wang F, Epro-pnp: Generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, 2781-2790.

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