To recover the position of occlusion ,an occlusion recovery method based on orthogonal complement subspace is presented .Two images are combined into a group and the occlusions in the group are removed .Then ,the position of occlusion is linearly obtained ,based on the fact that the sum of orthogonal complement subspaces spanned by all the image groups equals to the one spanned by the 3D space structure points .Being linearly ,the method for occlusion recovery overcomes the shortcoming that some existing iteration methods need a good original value .At the same time ,all the images and all the image points are treated uni-formly .The experiments with both simulate and real data show that the method is efficient ,robust and has small re-projection errors .%为了有效地恢复遮挡点的位置，提出了一种基于正交补空间的遮挡点恢复方法，该方法将图像两两组合，并删除同组中的遮挡点，利用删除遮挡点后的图像组生成的正交补空间之和等于三维空间结构点生成的正交补空间的特性，线性地求解出遮挡点的真实位置。由于该方法的求解是线性的，克服了现有迭代方法需要初值的缺点；同时，该方法将所有的图像及可见图像点都平等地看待。模拟实验和真实实验结果表明，该方法具有鲁棒性好及误差小等优点。
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