Earticle

초록

영어

Recent development in virtual and augmented reality increases the demand for content in many different fields. One of the fast ways to create content for VR is 3D modeling of real objects. In this paper we propose a system to reconstruct three-dimensional models of real objects from the set of two-dimensional images under the assumption that the subject does not has distinct features. We explicitly consider an object that is made of one or more surfaces and radiant constant energy isotropically. We design a low cost portable multi camera rig system that is capable of capturing images simultaneously from all cameras. In order to evaluate the performance of the proposed system, comparison is made between 3D model and a CAD model. A simple algorithm is also proposed to acquire original texture or color of the subject. Using best pattern found after the experiments, 3D model of the Pyeongchang Olympic Mascot “Soohorang” is created to use as VR content

목차

Abstract
 1. Introduction
 2. Related Work
 3. Proposed System
 4. Methodology
  4.1 Feature detection using SIFT
  4.2 SfM - Feature matching and Bundle Adjustment
  4.3 Dense point cloud reconstruction
  4.4 Mesh reconstruction
  4.5 Mesh simplification
  4.6 Texture replacement
 5. Comparison and Evaluation
 6. Result and Discussion
 7. Making of VR Contents
 8. Conclusion
 Acknowledgement
 References

키워드

저자

• Jahanzeb Hafeez [ Graduate School of Information Contents, Kwangwoon University, Seoul, Korea ]
• Seunghyun Lee [ Graduate School of Information Contents, Kwangwoon University, Seoul, Korea ]
• Soonchul Kwon [ Graduate School of Information Contents, Kwangwoon University, Seoul, Korea ]
• Alaric Hamacher [ Graduate School of Information Contents, Kwangwoon University, Seoul, 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