Comparison of 3D Reconstruction between Neural Radiance Fields and Structure-from-Motion-Based Photogrammetry from 360° Videos-Reference-Cited by-同舟云学术

Comparison of 3D Reconstruction between Neural Radiance Fields and Structure-from-Motion-Based Photogrammetry from 360° Videos

Published:2024-01-25 Issue: Volume:1101 Page:429-436
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Gupta Mohit¹²³,Borrmann Andre¹²³,Czerniawski Thomas¹²³

Affiliation:

1. Sustainable School of Engineering and the Built Environment, Arizona State Univ..

2. Dept. of Civil, Geo, and Environmental Engineering, Technical Univ. of Munich.

3. Sustainable School of Engineering and the Built Environment, Arizona State Univ.Email:

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485224.052

Reference13 articles.

1. Bansal, R., G. Raj, and T. Choudhury. 2016. “Blur Image Detection Using Laplacian Operator and Open-CV.” In 2016 International Conference System Modeling & Advancement in Research Trends (SMART), 63–67. https://doi.org/10.1109/SYSMART.2016.7894491.

2. Use of BIM and Visual Data Collected by UAS and 360° Camera for Construction Progress Monitoring;Barbosa A. S.;IOP Conference Series: Earth and Environmental Science,2022

3. Improving Progress Monitoring by Fusing Point Clouds, Semantic Data and Computer Vision;Braun A.;Automation in Construction,2020

4. A Comparison between 3d Reconstruction Using Nerf Neural Networks and Mvs Algorithms on Cultural Heritage Images;Condorelli F.;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2021

5. Debevec P. E. C. J. Taylor and J. Malik. n.d. “Modeling and Rendering Architecture from Photographs: A Hybrid Geometry- and Image-Based Approach.” Conference Proceedings.