An adaptive local-PCA method estimates point-cloud principal curvatures by selecting scales via explained-variance ratios, with strong synthetic-surface recovery and qualitative single-cell differentiation insights.
Ball pivoting algorithm and discrete gaussian curvature: A direct way to curved nanographene circularly polarized luminescence spectral simulation,
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Principal Curvatures Estimation with Applications to Single Cell Data
An adaptive local-PCA method estimates point-cloud principal curvatures by selecting scales via explained-variance ratios, with strong synthetic-surface recovery and qualitative single-cell differentiation insights.