We present an importance sampling method for the bidirectional scattering distribution function (bsdf) of hair. Our method is based on the multi-lobe hair scattering model presented by Sadeghi et al. . We reduce Noise by drawing samples from a distribution that approximates the bsdf well. Our algorithm is efficient and Easy to implement, since the sampling process requires only the evaluation of a few analytic functions, with no Significant memory overhead or need for precomputation. We tested our method in a research raytracer and a Production renderer based on micropolygon rasterization. We show significant improvements for rendering direct Illumination using multiple importance sampling and for rendering indirect illumination using path tracing. © 2012 The Author(s).

Ishair: Importance sampling for hair scattering / Jiawei, Ou; Xie, Feng; Krishnamachari, Parashar; Pellacini, Fabio. - In: COMPUTER GRAPHICS FORUM. - ISSN 0167-7055. - 31:4(2012), pp. 1537-1545. [10.1111/j.1467-8659.2012.03150.x]

Ishair: Importance sampling for hair scattering

PELLACINI, FABIO
2012-01-01

Abstract

We present an importance sampling method for the bidirectional scattering distribution function (bsdf) of hair. Our method is based on the multi-lobe hair scattering model presented by Sadeghi et al. . We reduce Noise by drawing samples from a distribution that approximates the bsdf well. Our algorithm is efficient and Easy to implement, since the sampling process requires only the evaluation of a few analytic functions, with no Significant memory overhead or need for precomputation. We tested our method in a research raytracer and a Production renderer based on micropolygon rasterization. We show significant improvements for rendering direct Illumination using multiple importance sampling and for rendering indirect illumination using path tracing. © 2012 The Author(s).
2012
31
4
1537
1545
Ishair: Importance sampling for hair scattering / Jiawei, Ou; Xie, Feng; Krishnamachari, Parashar; Pellacini, Fabio. - In: COMPUTER GRAPHICS FORUM. - ISSN 0167-7055. - 31:4(2012), pp. 1537-1545. [10.1111/j.1467-8659.2012.03150.x]
Jiawei, Ou; Xie, Feng; Krishnamachari, Parashar; Pellacini, Fabio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1299592
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