Earticle

초록

영어

Fast and robust images matching are of vital importance in low-altitude photogrammetric process. Among the most popular features of images matching are currently SIFT and Harris etc. For time-critical applications such as disaster monitoring, the SIFT features extraction are too slow, and the location accuracy of SIFT and Harris is insufficient in photogrammetric process. In this paper, we present a sub-Harris operator coupled with SIFT for fast images matching in low-altitude photogrammetry. Firstly, the original stereopair is down-sampled to small scaling images, in which rough relative orientation is computed by the corresponding points obtained from SIFT matching. Then sub-pixel level precise Harris corners are extracted within original scale images. Finally, the corresponding points are found in the sets of sub-Harris corners consistent with epipolar geometry obtained from rough images matching. Experimental results show that the proposed method can achieve more excellent performances in accuracy than SIFT and Harris operator based method in the relative orientation, and significantly improve the computational efficiency compared with SIFT.

목차

Abstract
 1. Introduction
 2. Rough Images Matching
 3. Sub-Harris Operator
 4. Descriptor and Matching
 5. Experiments
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Haiqing He [ Faculty of Geomatics, East China Institute of Technology, Nanchang, China ] Corresponding author
• Xiaoyong Chen [ Faculty of Geomatics, East China Institute of Technology, Nanchang, China ]
• Bo Liu [ Faculty of Geomatics, East China Institute of Technology, Nanchang, China ]
• Zhiyong Lv [ School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 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