SSE aligned placeholder for the XYZ centroid of a surface patch. L M N) are the coe cients of the rst (resp. It is called principal if F 0 and M 0, where E F G(resp. Principal curvatures (K) for each surface (s1 or s2) were calculated as a minimum and maximum at each correspondence particle with Eqs. A local parametrization xof a surface Sin R3 is called orthogonal provided F 0 (so x u and x v are orthogonal at each point).
SSE aligned eigenvectors placeholder for a covariance matrix.Ī pointer to the input dataset that contains the point normals of the XYZ dataset. Weingarten map, Gauss, mean and principal curvatures - 1 3.1. Placeholder for the 3x3 covariance matrix at each surface patch.Įigenvalues placeholder for a covariance matrix.
#Principal curvatures postview Patch
Perform Principal Components Analysis ( PCA) on the point normals of a surface patch in the tangent plane of the given point normal, and return the principal curvature (eigenvector of the max eigenvalue), along with both the max (pc1) and min (pc2) eigenvalues.Įstimate the principal curvature (eigenvector of the max eigenvalue), along with both the max (pc1) and min (pc2) eigenvalues for all points given in using the surface in setSearchSurface () and the spatial locator in setSearchMethod () ComputePointPrincipalCurvatures (const pcl::PointCloud &normals, int p_idx, const std::vector & indices, float &pcx, float &pcy, float &pcz, float &pc1, float &pc2)
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