摘要
提出了一种基于Huber函数的序列图像位移场估计算法。与光流法不同的是 ,它能直接计算位移场 ,还能在一定程度上减轻对于变化剧烈的“运动边界”过渡平滑的问题。该算法采用共轭梯度法优化能量方程 ,并利用小波分解进行分级计算 ,能快速可靠地得到稳定的位移场。实验表明 ,对有较大弹性形变的图像 ,与块匹配法相比 。
An algorithm based on Huber function to estimate displacement field is presented. Different from the optical flow, the method directly detects displacement field between two frames in a sequence. Using Huber function, the method can alleviate the oversmooth problem at the “motion edge”. To get the displacement field, the conjugated gradient method is used to minimize the energy function. In order to save the computational consumption, the hierarchical strategy based on wavelet transforms is taken. The experiment shows that the average residual error using the method is smaller than using block matching method for the large scale elastic deformed image.
出处
《高技术通讯》
CAS
CSCD
2001年第1期38-42,共5页
Chinese High Technology Letters
基金
国家自然科学基金(69931010)
中国比利时国际合作(国科外字[1997]234号)资助项目
