AI RESEARCH
ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient
arXiv CS.CV
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ArXi:2505.20858v2 Announce Type: replace Classical Bundle Adjustment (BA) is fundamentally limited by its reliance on precise metric initialization and prior camera intrinsics. While modern dense matchers offer high-fidelity correspondences, traditional Structure-from-Motion (SfM) pipelines struggle to leverage them, as rigid track-building heuristics fail in the presence of their inherent noise.