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.