光学精密工程2011，Vol.19Issue(8)：1964-1972,9.DOI:10.3788/OPE.20111908.1964
高精度实时全帧频SURF电子稳像方法
Real-time full-frame digital image stabilization system by SURF
摘要
Abstract
To overcome the undesirable shakes or jiggles of a camera and to implement the image stabilization in real time,a real-time full-frame video stabilization system based on the Speeded Up Robust Features (SURF) was proposed. Firstly,the SURF was employed to extract feature points,and the correspondence between the current and reference frame was established to get high precision local motion vector estimation. Secondly, by determining the reference frame update strategy, the smoothed interframe global motion vector was obtained. Finally, the corresponding pixels of the reference frame was filled with a stablized frame to compensate the unstable motion and to output an stablized full-frame video. Experimental results show that the real-time full-frame video stabilization system using SURF algorithm can provide the high accuracy (lower than 1 pixel) and short processing time (less than 30 ms). Moreover,it has a higher robustness on serious motion-blur and better image quality.关键词
电子稳像/全帧频/SURF算法/运动估计/运动滤波/亚像素Key words
digital image stabilization/ full-frame/ SURF algorithm/ motion estimation/ motion filter/ sub-pixel分类
信息技术与安全科学引用本文复制引用
张坤,许廷发,王平,冯亮..高精度实时全帧频SURF电子稳像方法[J].光学精密工程,2011,19(8):1964-1972,9.基金项目
国家自然科学基金重点项目(科学仪器专项)(No.61027002) （科学仪器专项）
国家973重点基础研究发展计划资助项目(No.2009CB72400603) （No.2009CB72400603）
国家自然科学基金资助项目(No.60972100) （No.60972100）
