A fast half-pixel motion estimation algorithm is proposed after analyzing three different mathematical prediction models based on concave functions.
分析了三种不同的凹函数预测模型，提出了一种适合硬件实现的运动估计快速半像素级搜索算法。
A motion based segmentation scheme for image motion estimation is proposed using variable order parameterized models of image motion and robust regression.
借助于图像运动的变阶参数模型和鲁棒回归分析，提出一种基于运动分割的图像运动估计方法。
From this point, the algorithm is implemented by searching and constructing a background image efficiently. With regard to global motion models, four-parameter estimation model is adopted.
算法从全局运动估计的基础出发，利用背景宏块运动相似性的特点快速建立背景宏块集合并采用常用的四参数全局运动估计模型估计运动参数。
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