2010 | OriginalPaper | Chapter
Element-Wise Factorization for N-View Projective Reconstruction
Authors : Yuchao Dai, Hongdong Li, Mingyi He
Published in: Computer Vision – ECCV 2010
Publisher: Springer Berlin Heidelberg
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Sturm-Triggs iteration is a standard method for solving the
projective factorization
problem. Like other iterative algorithms, this method suffers from some common drawbacks such as requiring a good initialization, the iteration may not converge or only converge to a local minimum, etc. None of the published works can offer any sort of global optimality guarantee to the problem. In this paper, an optimal solution to projective factorization for structure and motion is presented, based on the same principle of low-rank factorization. Instead of formulating the problem as
matrix factorization
, we recast it as
element-wise factorization
, leading to a convenient and efficient semi-definite program formulation. Our method is thus
global
, where no initial point is needed, and a globally-optimal solution can be found (up to some relaxation gap). Unlike traditional projective factorization, our method can handle real-world difficult cases like missing data or outliers easily, and all in a unified manner. Extensive experiments on both synthetic and real image data show comparable or superior results compared with existing methods.