A New Method for Projective Reconstruction
一种新的射影重建方法

A new method to recover projective reconstruction from multiple uncalibrated images is presented in this paper.Unlike the existing method,our algorithm proposes to estimate the projective reconstruction by minimizing the 2-D reprojection error,and it takes a linear iterative procedure in calculation with SVD(Singular Value Decomposition) as a main tool,consequently avoids the complex non-linear optimized process.In addition,no initial phase is needed to start the algorithm,and it can deal with the missing data in images and critical camera motion.Several experiments on simulated and real image data show that the proposed method is more accurate,robust and fast.