Interactive Rendering of Caustics using Dimension Reduction for Manifold Next-Event Estimation.
Ana Granizo-HidalgoNicolas HolzschuchPublished in: Proc. ACM Comput. Graph. Interact. Tech. (2024)
Keyphrases
- dimension reduction
- manifold learning
- low dimensional
- high dimensional
- manifold embedding
- computer graphics
- principal component analysis
- feature space
- high dimensional data
- nonlinear manifold
- generative topographic mapping
- global illumination
- high dimensional problems
- intrinsic dimension
- feature selection
- dimensionality reduction
- random projections
- linear discriminant analysis
- feature extraction
- manifold learning algorithm
- singular value decomposition
- photorealistic
- lower dimensional
- dimension reduction methods
- photorealistic rendering
- cluster analysis
- unsupervised learning
- preprocessing
- high dimensionality
- data sets
- density estimation
- intrinsic dimensionality
- d scene
- image processing
- computer vision
- machine learning
- data mining
- neural network