earticle

논문검색

Device and Module

Study on Photogrammetry Bridging Gap between Unstructured Data Images and Hologram Production

초록

영어

The entire process of modeling university buildings in 3D and visualizing holograms based on the data is covered in this study through photogrammetry technology using drones. After taking images of the school buildings from various angles using the DJI Mini 4 Pro drone, the high-resolution 3D model was constructed using Agisoft Metashape software. Afterward, the Unreal engine was used to extract multi-view images from various angles and output them in a three-dimensional form through the hologram printer. This study comprehensively covers all the steps from drone-based image collection, photogrammetry, 3D modeling, visualization, and hologram printing, and discusses in depth the impact of this technology on architecture and design. In particular, the innovative visualization technique combining drones and holograms has the potential to be utilized as an important tool not only in architectural visualization but also in education and training, design review, and industrial applications. Furthermore, this study suggests the expandability of this technology and explores directions in which it can be applied in various industrial fields.

목차

Abstract
1. Introduction
1.1 Research Background and Necessity
1.2 Research Purpose
1.3 Research Contribution
2. Background Theory
2.1 Overview of Photogrammetry Technology
2.2 Data collection using DJI Mini 4 Pro drone
2.3 3D Modeling Using Agisoft Metashape
2.4 Multi-Point Image Extraction Using Unreal Engine
2.5 Holographic Printing
3. Research Method (Methodology)
3.1 Data collection equipment and software
3.2 Shooting process
3.3 3D modeling on Agisoft Metashape
3.4 Multi-view image extraction with Unreal Engine
3.5 Hologram printing process
4. Results and Analysis
4.1 Accuracy of drone-based 3D modeling
4.2 Multiview Image Extraction Results with Unreal Engine
4.3 Hologram Output Results
5. Conclusion
5.1 Research Summary
5.2 Technical Contributions
5.3 Future research directions
Acknowledgement
References

저자정보

  • Jinwon Choi Doctoral student, Department of Immersive Content Convergence, Kwangwoon University, Seoul, South Korea
  • Tam Le Phuc Do Doctoral student, Department of Immersive Content Convergence, Kwangwoon University, Seoul, South Korea
  • Kangyo Lee Doctoral student, Department of Immersive Content Convergence, Kwangwoon University, Seoul, South Korea
  • Heejun Youn M.S, Department of Plasma Bio Display, Kwangwoon University, Seoul, South Korea
  • Soonchul Kwon Associate professor, Graduate School of Smart Convergence, Kwangwoon University, Seoul, South Korea
  • Seunghyun Lee Professor, Ingenium College Liberal Arts, Kwangwoon University, Seoul, South Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.