Planar-SfM aggregates homography-based pose estimates from planes using spectral graph embedding to recover camera poses where traditional epipolar SfM fails.
Acta Numerica26, 305–364 (2017)
2 Pith papers cite this work. Polarity classification is still indexing.
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ProBA replaces rigid point tracks with a probabilistic pose graph and 3D Gaussian landmarks, optimizing via negative log-likelihood with the Bhattacharyya coefficient to expand the basin of attraction in prior-free SfM.
citing papers explorer
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Planar-SfM: Camera Pose Estimation via Homography Graph Embeddings
Planar-SfM aggregates homography-based pose estimates from planes using spectral graph embedding to recover camera poses where traditional epipolar SfM fails.
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ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient
ProBA replaces rigid point tracks with a probabilistic pose graph and 3D Gaussian landmarks, optimizing via negative log-likelihood with the Bhattacharyya coefficient to expand the basin of attraction in prior-free SfM.