Deep Distance Metric Learning for Similarity Preserving Embedding of Point Clouds.
Ahmed AbouelazmIgor VozniakNils LippPavel AstreikaChristian MüllerPublished in: VISIGRAPP (4: VISAPP) (2023)
Keyphrases
- point cloud
- distance metric learning
- distance metric
- nonlinear dimensionality reduction
- metric learning
- surface reconstruction
- image classification
- distance function
- euclidean distance
- structure from motion
- distance measure
- point sets
- dimensionality reduction
- semi supervised
- geodesic distance
- manifold learning
- triangular mesh
- gender classification
- semidefinite programming
- nearest neighbor classification
- similarity measure
- low dimensional
- data points
- high dimensional data
- locally linear embedding
- three dimensional
- dimension reduction
- point correspondences
- vector space
- missing data
- image features
- dynamic programming