Research map / Point clouds / Registration and matching
A Quantum Computational Approach to Correspondence Problems on Point Sets
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Increase point-linking region from K=10 to K=50 (ablation) | QA point set alignment · Fish, random initial misalignments | e_{2D}: 0.026 -> 0.3 | Hurt |
| Increase point-linking region from K=10 to K=50 (ablation) | QA point set alignment · Fish, random initial misalignments | e_R: 0.062 -> 0.764 | Hurt |
| Use globally multiply-linked alignment (K=91) (ablation) | QA point set alignment · Fish | alignment quality | Hurt |
| Add uniformly distributed template noise at small K (ablation) | QA point set alignment · Fish, noisy template | e_{2D} | No clear effect |
| Add uniformly distributed template noise (ablation) | QA point set alignment · Fish, noisy template | e_{2D} | Hurt |
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