Abstract. We show that by extending the Laplacian formalism, which was first introduced in the Graphics community to regularize 3D meshes, we can turn the monocular 3D shape reconstruction of a deformable surface given correspondences with a reference image into a well-posed problem. Furthermore, this does not require any training data and eliminates the need to pre-align the reference shape with the one to be reconstructed, as was done in earlier methods.
REF introduced the Laplacian formalism in computer vision to regularize 3D meshes without requiring any training data.
Laplacian Meshes for Monocular 3D Shape Recovery
ECCV
Computer Science