StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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10 lines
383 B
10 lines
383 B
float beckmannDistribution(float x, float roughness) {
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float NdotH = max(x, 0.0001);
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float cos2Alpha = NdotH * NdotH;
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float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;
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float roughness2 = roughness * roughness;
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float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;
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return exp(tan2Alpha / roughness2) / denom;
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}
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#pragma glslify: export(beckmannDistribution) |