![]() SSE aligned placeholder for the XYZ centroid of a surface patch. SSE aligned eigenvectors placeholder for a covariance matrix.Ī pointer to the input dataset that contains the point normals of the XYZ dataset. Placeholder for the 3x3 covariance matrix at each surface patch.Įigenvalues placeholder for a covariance matrix. Concerning the computations of the principal curvatures: it is in general a hard and impossible problem because it leads to computing eigenvalues of an endomorphism and roots of a polynomial, which we know is impossible in degree greater than 5. That is, principal curvatures have no intrinsic sign. 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 () Principal curvatures depend on a continuous choice of unit normal field changing the sign of the unit normal field changes the signs of the principal curvatures. 1-Princ curvature, The first principal curvature of the surface, No. ![]() ![]() ComputePointPrincipalCurvatures (const pcl::PointCloud &normals, int p_idx, const std::vector & indices, float &pcx, float &pcy, float &pcz, float &pc1, float &pc2) PostView defines the following list of standard data fields that can be added to a.
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