VIDEO STABILIZATION FOR A HAND-HELD CAMERA BASED ON 3D MOTION MODEL

被引：14
|
作者：
Wang, J. M. [1 ]
Chou, H. P. [3 ]
Chen, S. W. [2 ]
Fuh, C. S. [1 ]
机构：
[1] Natl Taiwan Univ, Comp Sci & Informat Engn, Taipei, Taiwan
[2] Natl Taiwan Normal Univ, Comp Sci & Informat Engn, Taipei, Taiwan
[3] Chung Hua Univ, Informat Management, Taipei, Taiwan
来源：
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年
关键词：
SIFT detection; RKHS graph matching; 3D motion; Motion taxonomy; Full-frame process; DIGITAL IMAGE STABILIZATION;
D O I：
10.1109/ICIP.2009.5413831
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：3477 / +
页数：2
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