全局运动估计是计算机视觉、视频处理等领域广泛采用的手段之一.为了降低全局运动估计计算复杂度,提出一种基于像素梯度的全局运动估计方法.就运动模型而言,采用了复杂性与准确性较好均衡的六参数仿射模型.为了提高计算速度,采用了两层金字塔进行多分辨率计算,而且在每层迭代计算中都抽取梯度较大的特征点进行计算,同时结合了高斯-牛顿优化计算方法.实验验证了提出的全局运动估计算法的计算效率和精度.
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