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APPARATUS AND METHOD FOR ESTIMATING FUNDAMENTAL MATRIX USING ROBUST CORRESPONDENCE POINT

机译:利用鲁棒对应点估计基本矩阵的装置和方法

摘要

An apparatus and a method for estimating a fundamental matrix using a robust corresponding point are provided to estimate an optimum fundamental matrix with high precision, thereby improving reliability in various fields such as multi-view image generation, camera calibration and three dimensional image reconfiguration performed from a stereo image. A feature point extracting unit(120) extracts feature points by measuring a variation amount of brightness of an image. A candidate point selecting unit(130) selects candidate points, where a score by an autocorrelation function satisfies a predetermined range, from the feature points. A candidate sorting unit(140) calculates a median vector of a motion vector for candidate points within each area after dividing each image into four, and removes candidate points deviated from a predetermined threshold value for a size and a direction of the median vector. A fundamental matrix selecting unit(150) partitions each image into 8x8 areas, selects 8 areas from the partitioned areas, selects total 8 couples of corresponding points by arbitrarily extracting one corresponding point within each of the selected areas, and calculates a fundamental matrix from the selected corresponding point. After forming epipolar geometry for the calculated fundamental matrix, the fundamental matrix selecting unit selects a fundamental matrix where a distance error between an epipolar plane component and the corresponding point is the minimum.
机译:提供了一种用于使用鲁棒的对应点来估计基本矩阵的设备和方法,以高精度地估计最优基本矩阵,从而提高了在诸如多视图图像生成,相机校准和从三维扫描仪进行的三维图像重构等各个领域中的可靠性。立体图像。特征点提取单元(120)通过测量图像的亮度的变化量来提取特征点。候选点选择单元(130)从特征点中选择通过自相关函数得到的分数满足预定范围的候选点。候选排序单元(140)在将每个图像划分为四个之后,计算每个区域内的候选点的运动矢量的中值矢量,并且针对中值矢量的大小和方向去除与预定阈值偏离的候选点。基本矩阵选择单元(150)将每个图像划分为8×8个区域,从划分的区域中选择8个区域,通过在每个选择的区域中任意提取一个对应点来选择总共8对对应点,并从该区域中计算基本矩阵。选择相应的点。在形成用于所计算的基本矩阵的对极几何形状之后,基本矩阵选择单元选择其中对极平面分量与对应点之间的距离误差最小的基本矩阵。

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