To reconstruct 3D object from images

a stratified linear iterative method for 3D reconstruction is presented

which can uniformly deal with all the images and image points.It relies on the facts that the rows in the matrix including all the image points span the same linear subspace as the rows in the matrix including space points and that any basis of the subspace can be regarded as projective reconstruction.The projective reconstruction is obtained based on linear iteration.The self-calibration is accomplished based on the constraint of the camera intrinsic matrix and the projection reconstruction is upgraded to Euclid reconstruction.The simulation and real experiments show that the method is robust and has good property of convergence and small re-projection errors.