Parametric Surface Diffeomorphometry for Low Dimensional Embeddings of Dense Segmentations and Imagery.
Daniel Jacob TwardMichael I. MillerAlain TrouvéLaurent YounesPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2017)
Keyphrases
- low dimensional
- manifold learning
- high dimensional
- high dimensional data
- dimensionality reduction
- euclidean space
- principal component analysis
- data points
- dimension reduction
- feature space
- computer vision
- three dimensional
- medical images
- dense depth maps
- dense correspondence
- input space
- surface reconstruction
- parametric representation
- image data
- vector space
- high resolution
- geodesic distance
- low dimensional spaces
- image segmentation
- visual motion
- latent space
- d objects
- video sequences
- manual segmentation
- pattern recognition
- ground truth
- face recognition
- semi supervised
- face images