Earticle

초록

영어

In the field of computer vision and photogrammetry, it is constantly necessary to online or real-time acquire the camera parameters through self-calibration. This paper presents a method about self-calibration of camera with rotary motion based on SIFT feature matching. The proposed approach first shoots more than three images of the same scene by rotating the camera and keeping its position and internal parameters unchanging. After SIFT feature extraction and sequentially cycled matching for all images, the optimal reference image and effective images are determined by virtue of the algorithm on pose estimation. According to the coordinates of matched SIFT features, all 2D projection transformation matrices which transforms the reference into other effective images are calculated. With these matrices, relevant linear equations are established and the internal matrix of camera is solved. The proposed method can be online applied to quickly, accurately and stably obtain internal parameters of camera. Real data has been used to test the proposed approach, and very good results have been achieved.

목차

Abstract
 1. Introduction
 2. The Proposed Approach on Camera Self-Calibration
  2.1. Shooting the Images of Self-Calibration
  2.2. SIFT Feature Extraction
  2.3. SIFT Feature Matching
  2.4. Determine the Optimal Reference Image and Effective Images
  2.5. Calculating 2D Projection Transformation
  2.6. Computing Internal Reference Matrix K of Camera
 3. The Algorithm on Pose Estimation between Two Images
 4. Experimental results
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Canlin Li [ School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China ]
• Fubao Zhu [ School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China ]
• Ni Yao [ School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605