Research map / Learning theory and algorithms / Prediction and decision losses
Semidefinite Relaxations for Robust Multiview Triangulation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use fractional reprojection constraints instead of epipolar constraints | Robust multiview triangulation · Simulated experiments across noise and outlier levels | tight relaxation rate: 99.92% across all experiments | Helped |
| Use epipolar constraints rather than fractional reprojection constraints | Robust multiview triangulation · Low-noise simulated cases, 7 views and 3 outliers | tight relaxation rate: more than 90% when the noise is below σ≈40px | Mixed |
| Use fractional reprojection constraints rather than epipolar constraints | Robust multiview triangulation · Simulated experiments | computation time | Hurt |
| Use the robust relaxation with rounded-solution refinement instead of RANSAC | Triangulation with 25 views · Simulated experiments, non-tight cases | cases with lower robust cost: 32 relaxation better, 58 same solution, 29 RANSAC better | Mixed |
| Use the robust relaxation with rounded-solution refinement instead of RANSAC | Triangulation with 30 views · Simulated experiments, non-tight cases | cases with lower robust cost: 31 relaxation better, 84 same solution, 43 RANSAC better | Mixed |
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