Research on real-scene 3D reconstruction algorithm combining NeRF with UAVs

Teng Zhu; Zhaozhong Gao; Chen Shen

doi:10.1117/12.3048480

12 November 2024 Research on real-scene 3D reconstruction algorithm combining NeRF with UAVs

Teng Zhu, Zhaozhong Gao, Chen Shen

Author Affiliations +

Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 133950W (2024) https://doi.org/10.1117/12.3048480
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China

Abstract

Three-dimensional (3D) reconstruction of real-world scenes is a crucial task in various fields such as virtual reality, computer graphics, and urban planning. With the advancement of technology, the combination of Neural Radiance Fields (NeRF) and Unmanned Aerial Vehicles (UAVs) has gained significant attention for efficient and accurate 3D reconstruction. This paper presents a comprehensive discussion on the technical pathway for integrating NeRF with UAVs to achieve real-scene 3D reconstruction. The proposed approach leverages the capabilities of deep learning, computer vision, and aerial robotics to produce detailed 3D models of real-world environments. Mathematical formulations and algorithms are presented to demonstrate the feasibility and effectiveness of the NeRF-UAV integration in 3D reconstruction.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Teng Zhu, Zhaozhong Gao, and Chen Shen "Research on real-scene 3D reconstruction algorithm combining NeRF with UAVs", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 133950W (12 November 2024); https://doi.org/10.1117/12.3048480

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KEYWORDS

3D modeling

Unmanned aerial vehicles

Reconstruction algorithms

Education and training

3D image reconstruction

Voxels

Virtual reality

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