Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares.
Barak SoberIngrid DaubechiesRobert RavierPublished in: CoRR (2020)
Keyphrases
- riemannian metric
- point cloud
- least squares
- fisher information
- vector space
- shape representation
- covariance matrices
- shape space
- infinite dimensional
- tensor field
- point sets
- structure from motion
- parameter space
- riemannian manifolds
- object appearance
- diffusion tensor
- covariance matrix
- optical flow
- moving objects
- computer vision
- geometric structure
- euclidean space
- positive definite
- shape model
- image processing