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Research map / 3D vision / Depth and stereo

Revisiting the P3P Problem

CVPR 2023 · 3D vision › Depth and stereo · approach: Camera model and calibration for SfM · 30 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the conic-intersection solver with configuration-aware root selection and line recoveryP3P solving · Synthetic data, 10^7 trialsgood solution trials: 9999989 -> 10000000Helped
Use the conic-intersection solver with configuration-aware root selection and line recoveryP3P solving · Synthetic data, 10^7 trialsincorrect solutions: 2 -> 0Helped
Use the proposed solver instead of the Persson et al. solverP3P solving · Synthetic data, 10^7 trialsmean runtime: 260.6 -> 225.8Helped
Use the proposed solver instead of the Ke et al. solverP3P solving · Synthetic data, 10^7 trialsincorrect solutions: 375209 -> 0Helped
Use the proposed solver instead of the Kneip et al. solverP3P solving · Synthetic data, 10^7 trialsincorrect solutions: 7328099 -> 0Helped
Add Gauss-Newton root polishingNakano P3P solver · Synthetic noise-free data, 100,000 runsmax rotation and translation error: 0.002 -> 1.8e-5Helped
Add Gauss-Newton root polishingNakano P3P solver · Synthetic data, 10^7 trialsincorrect solutions: 7408 -> 544Helped
Add Gauss-Newton root polishingNakano P3P solver · Synthetic data, 10^7 trialsmean runtime: 591.3 -> 702.0Hurt

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