一种新的多阶段递归搜索快速块真运动估计方法

J. Húska, P. Kulla
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引用次数: 4

摘要

本文提出了一种新的基于块的快速运动估计算法。新算法基于著名的菱形搜索,结合了递归和多阶段技术。相对于其他现有的快速基于块的运动估计算法,它的主要优点是能够克服由光流方程产生的运动估计中的模糊性(孔径问题,恒定亮度区域的不确定流矢量)。由于我们的新搜索策略采用了相同物体投影对应的图像像素都具有相似运动的事实,因此消除了这些问题。该算法采用递归和多阶段相结合的技术,能够估计出消除混沌运动场的矢量运动场,逼近真实运动场。
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A New Recursive Search with Multi Stage Approach for Fast Block Based True Motion Estimation
In this paper a new fast block based motion estimation algorithm is presented. The new algorithm is based on well known diamond search with incorporated recursive and multi stage techniques. Its main benefit against other existing fast block based motion estimation algorithms is the ability to overcome the ambiguity in motion estimation (aperture problem, indeterminate flow vector in regions with constant brightness) that yield from optical flow equation. These problems are eliminated due to our new search strategy which employs fact that the image pixels corresponding to the same object projection all account similar movement. The algorithm with combined recursive and multi stage techniques is capable of estimating vector motion fields with eliminated chaotic motion fields and approaching true motion field.
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