To recover the position of occlusion,an occlusion recovery method based on projective constraints under orthographic projection is presented.Utilizing the property that both the row and the column space of image matrix are projective subspaces,the method applies Singular Value Decomposition(SVD) to get the image matrix's row and column metric constraints,and replaces occlusion solution by iteratively solving the minimum of a quadratic function.The experiments with both simulated and real data show that the proposed method has the advantages of fast convergence speed and small error.%为了恢复图像中的遮挡点,本文在相机为正投影模型下,提出了一种投影约束的遮挡点恢复方法.该方法利用图像矩阵的行空间和列空间都是三维子空间的特性,通过用矩阵奇异值分解分别得到图像矩阵行和列投影满足的约束条件,将遮挡点的求解转化为迭代求解二次型的极值问题.仿真实验和真实实验结果表明,本文方法具有收敛速度快,恢复精度高等优点.
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