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Efficient Solvers for Minimal Problems by Syzygy-Based Reduction

CVPR 2017 · Learning theory and algorithms › Combinatorial and search optimization · approach: Structure and complexity of constraint reasoning · 142 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use syzygy-based reduction to form the elimination templateAutomatic polynomial solver generator · Minimal problems in geometric computer visiontemplate size: 411 × 489 -> 40 × 57Helped
Use syzygy-based reductionAutomatic polynomial solver generator · TDOA offset rank 3, 6,8 ptstemplate size: 1359 × 754 -> 356 × 345Helped
Use syzygy-based reductionAutomatic polynomial solver generator · Dual-Receiver TDOA 5pttemplate size: 2, 625 × 2, 352 -> 455 × 768Helped
Use syzygy-based reductionAutomatic polynomial solver generator · Optimal PnPtemplate size: 120 × 120 -> 88 × 115Helped
Use syzygy-based reductionAutomatic polynomial solver generator · Stitching + constant focal length + radial distortion, 3pttemplate size: 54 × 77 -> 48 × 66Helped
Use non-unit quaternions for the rotation-only stage (ablation)Three-view solver with known rotation axis · One point and two linesruntime: 1, 306 × 1, 261; 0.57s -> 12 × 20; 0.3msHelped
Eliminate translations using the point depths (ablation)Three-view solver with known rotation axis · One point and two linestemplate size: 1, 306 × 1, 261 -> 652 × 462Helped
Use non-unit rather than unit quaternions (ablation)Three-view solver with known rotation axis · One point and two linestemplate size: 96 × 88 -> 12 × 20Helped
Partially reduce the template using combinations of four equations (ablation)Nine-lines solver · Nine lines in three viewstemplate size: 20, 273 × 14, 281 -> 16, 278 × 13, 735Helped
Use syzygy-based reductionAutomatic polynomial solver generator · Minimal problems in geometric computer visiontemplate size: Table 1Mixed

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