摘要
针对载体姿态变化引起的相机旋转运动,提出一种基于相关滤波的高速图像旋转运动估计算法(GPCF)。在灰度投影法的基础上,该算法采用相关滤波代替互相关运算进行角度估计。通过构建循环移位矩阵,扩充负样本数量,有效提高旋转运动估计的精度和鲁棒性。构建噪信比公式,以定量分析噪声对旋转运动估计算法的影响程度。理论分析和实验结果均表明,GPCF能够实时估计图像序列旋转角度,且精度和稳定性相比灰度投影法具有较大提升。
This study proposes a highspeed image rotation estimation algorithm based on correlation filtering(GPCF)to estimate the camera rotation caused by carrier pose variations.The proposed algorithm uses correlation filtering rather than the correlation operation used in the gray projection method for rotation estimation.The accuracy and robustness of the algorithm are greatly enhanced by introducing a circular shift matrix to increase the number of negative samples.Additionally,a noisetosignal ratio formula is established to quantify the impact of noise on the rotation estimation.Compared to the gray projection method,both theoretical analysis and experiments reveal that the GPCF can estimate the rotation of image sequences in real time with greater accuracy and reliability.
作者
杨赟辉
朱鸿泰
程虎
刘丹
Yang Yunhui;Zhu Hongtai;Cheng Hu*;Liu Dan(China Key System&Integrated Circuit Co.,Ltd.,Wuxi 214072,Jiangsu,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2023年第10期259-264,共6页
Laser & Optoelectronics Progress
关键词
图像处理
旋转运动估计
灰度投影法
互相关
相关滤波
image processing
rotation estimation
gray projection method
correlation operation
correlation filtering
