Herholz et al., 2018 - Google Patents
A Unified Manifold Framework for Efficient BRDF Sampling based on Parametric Mixture Models.Herholz et al., 2018
View PDF- Document ID
- 9815244961493329533
- Author
- Herholz S
- Elek O
- Schindel J
- Krivánek J
- Lensch H
- Publication year
- Publication venue
- EGSR (EI&I)
External Links
Snippet
Virtually all existing analytic BRDF models are built from multiple functional components (eg, Fresnel term, normal distribution function, etc.). This makes accurate importance sampling of the full model challenging, and so current solutions only cover a subset of the model's …
- 238000005070 sampling 0 title abstract description 18
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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