Using Dimensionality Reduction to Create New Materials from Tabular BRDFs.
Mislene Da Silva NunesGastão Florêncio Miranda Jr.Beatriz Trinchao AndradePublished in: SIBGRAPI (2017)
Keyphrases
- dimensionality reduction
- spatially varying
- light source
- high dimensional
- principal component analysis
- feature extraction
- feature selection
- structure preserving
- data representation
- high dimensional data
- pattern recognition
- pattern recognition and machine learning
- photometric stereo
- high dimensionality
- linear discriminant analysis
- kernel pca
- nonlinear dimensionality reduction
- learning materials
- principal components
- low dimensional
- data points
- surface reconstruction
- discriminant analysis
- computer graphics
- locally linear embedding
- viewpoint
- image sequences