2018
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling
CVPR 2018poster
Geodesic distance matrices can reveal shape properties that are largely invariant to non-rigid deformations, and thus are often used to analyze and represent 3-D shapes. However, these matrices grow quadratically with the number of points. Thus for large point sets it is common to use a low-rank app…