TriP uses triangle geometry to infer and synchronize edge scales in the log domain for robust translation averaging that recovers camera locations even under structured corruptions.
Global motion estimation from point matches
2 Pith papers cite this work. Polarity classification is still indexing.
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NS-RGS uses Newton-Schulz iterations to avoid costly matrix decompositions in Riemannian optimization for orthogonal group synchronization, proving linear convergence with spectral initialization and showing 2x practical speedup.
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TriP: A Triangle Puzzle Approach to Robust Translation Averaging
TriP uses triangle geometry to infer and synchronize edge scales in the log domain for robust translation averaging that recovers camera locations even under structured corruptions.
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NS-RGS: Newton-Schulz based Riemannian gradient method for orthogonal group synchronization
NS-RGS uses Newton-Schulz iterations to avoid costly matrix decompositions in Riemannian optimization for orthogonal group synchronization, proving linear convergence with spectral initialization and showing 2x practical speedup.