“…In our situation, it gives a connection with the 'five-point algorithm' for computing essential matrices. The proposition is computationally inefficient as-is for that purpose, but see [23] for a more efficient algorithm that would exploit our matrix formulas for Ch(E C ). Implementing the algorithms in [23] for our matrices is one avenue for future work.…”
Section: Explicit Matrices Computing the Chow Form Of E Cmentioning
confidence: 99%
“…The proposition is computationally inefficient as-is for that purpose, but see [23] for a more efficient algorithm that would exploit our matrix formulas for Ch(E C ). Implementing the algorithms in [23] for our matrices is one avenue for future work. Proposition 4.6.…”
The Chow form of the essential variety in computer vision is calculated. Our derivation uses secant varieties, Ulrich sheaves and representation theory. Numerical experiments show that our formula can detect noisy point correspondences
“…In our situation, it gives a connection with the 'five-point algorithm' for computing essential matrices. The proposition is computationally inefficient as-is for that purpose, but see [23] for a more efficient algorithm that would exploit our matrix formulas for Ch(E C ). Implementing the algorithms in [23] for our matrices is one avenue for future work.…”
Section: Explicit Matrices Computing the Chow Form Of E Cmentioning
confidence: 99%
“…The proposition is computationally inefficient as-is for that purpose, but see [23] for a more efficient algorithm that would exploit our matrix formulas for Ch(E C ). Implementing the algorithms in [23] for our matrices is one avenue for future work. Proposition 4.6.…”
The Chow form of the essential variety in computer vision is calculated. Our derivation uses secant varieties, Ulrich sheaves and representation theory. Numerical experiments show that our formula can detect noisy point correspondences
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