Computing Shape DNA using the closest point method

We demonstrate an application of the closest point method where the truncated spectrum of the Laplace–Beltrami operator of an object is used to identify the object. The effectiveness of the method is analyzed as well as the default algorithm, `eigs’, in MATLAB which computes the eigenvalues of a given matrix. We also cluster “similar” objects via multi-dimensional scaling algorithm and empirically measure its effectiveness.