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Morphing for motion estimation

机译:变形以进行运动估计

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摘要

A new approach is presented for motion estimation and modeling.The proposed method morphs the final frame of a sequence of motion frames from the initial frame. The morphing parameters are estimated using the intermediate frames. The morphing algorithm uses the warping and cross-dissolve techniques used in the recent morphing algorithms.However, rather then using the displacement of line pairs, a set of control points is used. A new method is proposed for the identification pixels are identified and clustered. The cluster centers of the moving pixels are labeled as control points. The number of control points and the motion detection thresholds are identified during the morphing by minimizing the sum of square error between the actual and generated image. The experimental results are very promising and yield very high compression ratios.
机译:提出了一种运动估计和建模的新方法。该方法将运动帧序列的最终帧从初始帧变形。使用中间帧来估计变形参数。变形算法使用了最新变形算法中使用的变形和交叉溶解技术,但是,而不是使用线对的位移,而是使用了一组控制点。提出了一种新的识别像素聚类方法。运动像素的聚类中心被标记为控制点。通过最小化实际图像与生成图像之间的平方误差之和,可以在变形期间识别控制点的数量和运动检测阈值。实验结果是非常有希望的,并且产生非常高的压缩比。

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