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Motion-based grouping of optical flow fields: the extrapolation and subtraction technique

机译:基于运动的光流场分组:外推和减法技术

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The goal of three-dimensional (3-D) motion segmentation is to identify the image areas projected by different moving objects in 3-D space. However, many prevailing methods merely detected the discontinuity of optical flow field and usually considered these boundaries as that produced by different 3-D motions. In fact, the flow discontinuity can be generated either by two different 3-D motions or by the structural discontinuity on the same moving object. The wrong identification causes several problems in 3-D motion estimation. A simple method called the extrapolation and subtraction (ES) technique is proposed to solve these problems. The input image flow field is first partitioned into several functionally analytic regions. Each analytic region is assumed to be projected by a roughly planar patch moving in 3-D space. Based on the parameterization of these analytic flow fields, the ES technique provides a very simple and fast method to test the 3-D motion compatibility between two interested analytic flow fields.
机译:三维(3-D)运动分割的目标是识别3-D空间中不同运动对象投影的图像区域。但是,许多流行的方法仅检测到光流场的不连续性,通常将这些边界视为由不同3D运动产生的边界。实际上,流动不连续性可以由两个不同的3D运动或同一运动物体上的结构不连续性产生。错误的识别在3-D运动估计中引起若干问题。为解决这些问题,提出了一种称为外推和减法(ES)技术的简单方法。首先将输入图像流场划分为几个功能分析区域。假定每个分析区域由在3D空间中移动的大致平面的块投影。基于这些解析流场的参数化,ES技术提供了一种非常简单快速的方法来测试两个感兴趣的解析流场之间的3D运动兼容性。

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