Browse > Article
http://dx.doi.org/10.5302/J.ICROS.2010.16.11.1053

Euler Angle-Based Global Motion Estimation Model for Digital Image Stabilization  

Kwak, Hwy-Kuen (Chungnam National University)
Lyou, Joon (Chungnam National University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.16, no.11, 2010 , pp. 1053-1059 More about this Journal
Abstract
This paper treats the DIS (Digital Image Stabilization) problem subject to base motions such as translation, rotation and zoom. For the local motion estimation from a raw image, the Harris corner detection algorithm is exploited to extract feature points, and comparing those of consecutive images, the zoom ratio (scale factor) is computed. For the global motion estimation, an equivalent model is derived to account for a 3-dimensional composite motion from which the center point and Euler angle can be determined. Finally, the motion compensation follows. To show the effectiveness of the present DIS scheme, experimental results for synthetic images are illustrated.
Keywords
DIS; arbitrary base motion; euler angle; harris corner; zoom ratio;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 1
연도 인용수 순위
1 L. Xu and X. Lin, “Digital image stabilization based on circular block matching,” IEEE Trans. on Consumer Electronics, vol. 52. no. 2, pp. 566-574, May 2006.   DOI
2 C. Morimoto and R. Cellappa, “Fast electronic digital image stabilization for off-road navigation,” Real-Time Imaging, vol. 2, pp. 285-296, Apr. 1996.   DOI
3 C. Morimoto and R. Cellappa, “Evaluation of image stabilization algorithms,” IEEE Conference on Acoustics, Speech and Signal Processing, vol. 5, pp. 2789-2792, May 1999.   DOI
4 K. Uonori, A. Morimura, and H. Ishii, “Electonic image stabilization system for video cameras and VCRs,” Journal of the Society of Motion Picture Television Engineers, vol 101, pp. 66-75, Oct. 1992.
5 D. Li and Y. Kimhui, “A fuzzy K-nearest-neighbor algorithm to blind image deconvolution,” IEEE International Conference n Systems, Man and Cybernetics, vol. 3, pp. 2049-1054, Oct. 2003.
6 J. Y. Chang, W. F. Hu, M. H. Cheng, and G. S. Chang, “Digital image translational and rotational motion stabilization using optical flow technique,” IEEE Trans. on Consumer Electronics, vol. 48, no. 1, pp. 108-115, Feb. 2002.   DOI
7 H. D. Seok and J. Lyou, “A stabilization method for rotated and translated images,” Journal of Control, Automation, and System Engineers, vol. 12, no. 8, pp. 810-817, Aug. 2006.   DOI
8 G. Jian, H. XinHan, and P. Gang, “A feature detection method based on Harris corner and difference of Gaussian,” Pattern recognition and artificial intelligence, vol. 21, no. 2, pp. 171-176, Dec. 2008.