Earticle

초록

영어

With the development of 3D graphics software and the speed of computer hardware, it is an era that can be realistically expressed not only in movie visual effects but also in console games. In the production of such realistic 3D models, 3D scans are increasingly used because they can obtain hyper-realistic results with relatively little effort. Among the various 3D scanning methods, photogrammetry can be used only with a camera. Therefore, no additional hardware is required, so its demand is rapidly increasing. Most 3D artists shoot as many images as possible with a video camera, etc., and then calculate using all of those images. Therefore, the photogrammetry method is recognized as a task that requires a lot of memory and long hardware operation. However, research on how to obtain precise results with 3D photogrammetry scans is insufficient, and a large number of photos is being utilized, which leads to increased production time and data capacity and decreased productivity. In this study, point cloud data generated according to changes in the number and resolution of photographic images were produced, and an experiment was conducted to compare them with original data. Then, the precision was measured using the average distance value and standard deviation of each vertex of the point cloud. By comparing and analyzing the difference in the precision of the 3D photogrammetry scans according to the number and resolution of images, this paper presents a direction for obtaining the most precise and effective results to 3D artists.

목차

Abstract
1. INTRODUCTION
2. THEORETICAL BACKGROUND
2.1 Photogrammetry
3. EXPERIMENT
3.1 Comparison Method of the 3D Model Reconstruction According to the Number of Images
3.2 Reconstructed Point Cloud Comparison
3.3 3D Model Reconstruction Comparison Method According to the Image Resolution
4. EXPERIMENTAL RESULTS
5. CONCLUSIONS
REFERENCES

키워드

저자

• JaeWook Park [ Doctoral candidate, Department of Plasma Bio Display, Kwangwoon University, Seoul 01897, Korea ]
• YunJung Kim [ Assistant Professor, School of SW Advanced Convergence Technology, Inha University, Incheon 22212, Korea ]
• Lyoung Hui Kim [ Assistant Professor, Department of Visual Design, Seoul Institute of the Arts, Gyeonggi-do 15263, Korea ]
• SoonChul Kwon [ Associate professor, Graduate School of Smart Convergence, Kwangwoon University, Seoul 01897, Korea ]
• SeungHyun Lee [ professor, Ingenium College, Kwangwoon University, Seoul 01897, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380