Fundamental Matrix Estimation Based On A Generalized Eigenvalue Problem
A new method for estimating the fundamental matrix is proposed. Using eigenvectors corresponding to the two smallest eigenvalues obtained by the orthogonal least-squares technique, we construct a 3 × 3 generalized eigenvalue problem. Its solution gives not only the fundamental matrix but also the corresponding epipoles. The new method performs well as compared with several existing linear methods.
KeywordsLinear Method Small Eigenvalue Real Eigenvalue Fundamental Matrix Synthetic Image
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