Video stabilization for a hand-held camera based on 3D motion model

J. M. Wang, H. P. Chou, Sei-Wang Chen, C. S. Fuh

研究成果: 書貢獻/報告類型會議貢獻

21 引文 斯高帕斯(Scopus)

摘要

In this paper, a video stabilization technique is presented. There are four steps in the proposed approach. We begin with extracting feature points from the input image using the Lowe SIFT (Scale Invariant Feature Transform) point detection technique. This set of feature points is then matched against the set of feature points detected in the previous image using the Wyk et al. RKHS (Reproducing Kernel Hilbert Space) graph matching technique. We can calculate the camera motion between the two images with the aid of a 3D motion model. Expected and unexpected components are separated using a motion taxonomy method. Finally, a full-frame technique to fill up blank image areas is applied to the transformed image.

原文英語
主出版物標題2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
發行者IEEE Computer Society
頁面3477-3480
頁數4
ISBN(列印)9781424456543
DOIs
出版狀態已發佈 - 2009 一月 1
事件2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, 埃及
持續時間: 2009 十一月 72009 十一月 10

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
ISSN(列印)1522-4880

其他

其他2009 IEEE International Conference on Image Processing, ICIP 2009
國家埃及
城市Cairo
期間09/11/709/11/10

    指紋

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

引用此

Wang, J. M., Chou, H. P., Chen, S-W., & Fuh, C. S. (2009). Video stabilization for a hand-held camera based on 3D motion model. 於 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (頁 3477-3480). [5413831] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5413831