Rendering fur with three dimensional textures
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Light scattering from human hair fibers
ACM SIGGRAPH 2003 Papers
Simulating multiple scattering in hair using a photon mapping approach
ACM SIGGRAPH 2006 Papers
A Survey on Hair Modeling: Styling, Simulation, and Rendering
IEEE Transactions on Visualization and Computer Graphics
Light Scattering from Filaments
IEEE Transactions on Visualization and Computer Graphics
Dual scattering approximation for fast multiple scattering in hair
ACM SIGGRAPH 2008 papers
A practical approach for photometric acquisition of hair color
ACM SIGGRAPH Asia 2009 papers
An artist friendly hair shading system
ACM SIGGRAPH 2010 papers
ACM SIGGRAPH ASIA 2010 Sketches
A Simplified Plane-Parallel Scattering Model and Its Application to Hair Rendering
PACIFIC_GRAPHICS '10 Proceedings of the 2010 18th Pacific Conference on Computer Graphics and Applications
A spectral BSSRDF for shading human skin
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Interactive hair rendering and appearance editing under environment lighting
Proceedings of the 2011 SIGGRAPH Asia Conference
ISHair: Importance Sampling for Hair Scattering
Computer Graphics Forum
Importance sampling for physically-based hair fiber models
SIGGRAPH Asia 2013 Technical Briefs
| Hi-index | 0.00 |
We present a reflectance model for dielectric cylinders with rough surfaces such as human hair fibers. Our model is energy conserving and can evaluate arbitrarily many orders of internal reflection. Accounting for compression and contraction of specular cones produces a new longitudinal scattering function which is non-Gaussian and includes an off-specular peak. Accounting for roughness in the azimuthal direction leads to an integral across the hair fiber which is efficiently evaluated using a Gaussian quadrature. Solving cubic equations is avoided, caustics are included in the model in a consistent fashion, and more accurate colors are predicted by considering many internal pathways.