A new matrix-inversion-free solver reconstructs hidden-variable determinant polynomials for minimal problems using IFFT interpolation from samples and recovers solutions via rank-1 submatrices and Cramer's rule.
Visual odom- etry [tutorial].IEEE robotics & automation magazine, 18(4): 80–92
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Solving Minimal Problems Without Matrix Inversion Using FFT-Based Interpolation
A new matrix-inversion-free solver reconstructs hidden-variable determinant polynomials for minimal problems using IFFT interpolation from samples and recovers solutions via rank-1 submatrices and Cramer's rule.