DynaWeightPnP: Toward global real-time 3D-2D solver in PnP without correspondences

arXiv:2409.18457 · cs.CV, cs.RO · Submitted 2024-09-27 · Read on arXiv

cs.CV, cs.RO

Submitted: 2024-09-27

Updated: 2026-09-17

Terminology

• Accuracy — 21× in this paper · explained in 1 episode
• Alignment — 20× in this paper · explained in 1 episode
• Core — 6× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Hilbert Space — 4× in this paper · explained in 2 episodes
• Dynamic Weighting — 3× in this paper · explained in 3 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Point Clouds — 3× in this paper · explained in 2 episodes
• Reproducing Kernel Hilbert Space — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Gaussian Mixture Model — 2× in this paper
• Iterative Reweighted Least Squares — 2× in this paper
• Objective Function — 2× in this paper · explained in 2 episodes
• Projection Residual — 2× in this paper
• Robot Operating System — 2× in this paper
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment Methods — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Computed Tomography Angiography — 1× in this paper
• Continuous Visual Odometry — 1× in this paper
• Digitally Subtracted Angiograms — 1× in this paper
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Expectation Maximization — 1× in this paper
• Gaussian Mixture Model (GMM) — 1× in this paper · explained in 2 episodes
• Iterative Closest Point — 1× in this paper
• Local Optimization — 1× in this paper · explained in 2 episodes
• Median Target Registration Error — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Q-learning — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Reproducing Kernel Hilbert Space (RKHS) — 1× in this paper · explained in 3 episodes

Sources

• RKHS-BA: A Robust Correspondence-Free Multi-View Registration Framework with Semantic Point Clouds

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