Sparse approximation of 3D meshes using the spectral geometry of the Hamiltonian operator
The discrete Laplace operator is ubiquitous in spectral shape analysis, since its
eigenfunctions are provably optimal in representing smooth functions defined on the surface …
eigenfunctions are provably optimal in representing smooth functions defined on the surface …
Orthogonally Constrained Sparse Approximations with Applications to Geometry Processing
SA Liddell - 2019 - etheses.whiterose.ac.uk
Compressed manifold modes are solutions to an optimisation problem involving the $\ell_1
$ norm and the orthogonality condition $ X^ TMX= I $. Such functions can be used in …
$ norm and the orthogonality condition $ X^ TMX= I $. Such functions can be used in …