Earticle

초록

영어

In order to reconstruct a 3D model in video sequences, to select key frames that are easy to estimate a geometric model is essential. This paper proposes a method to easily extract informative frames from a handheld video. The method combines selection criteria based on appropriate-baseline determination between frames, frame jumping for fast searching in the video, geometric robust information criterion (GRIC) scores for the frame-to-frame homography and fundamental matrix, and blurry-frame removal. Through experiments with videos taken in indoor space, the proposed method shows creating a more robust 3D point cloud than existing methods, even in the presence of motion blur and degenerate motions.

목차

Abstract
 1. Introduction
 2. Extraction of key frame to facilitate fundamental matrix estimation
 3. Quality evaluation of key frames
 4. Experiments
 5. Conclusion
 Acknowledgement
 References

키워드

저자

• Jongho Choi [ Department of Electronic Engineering, Kwangwoon University, Seoul, Korea ]
• Soonchul Kwon [ Graduate School of Information and Contents, Kwangwoon University, Seoul, Korea ]
• Kwangchul Son [ Graduate School of Information and Contents, Kwangwoon University, Seoul, Korea ]
• Jisang Yoo [ Department of Electronic Engineering, 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