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William A.P. Smith and Edwin R. Hancock Department of Computer Science, University of York, UK CVPR 2009 Reporter: Annie Lin.

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Presentation on theme: "William A.P. Smith and Edwin R. Hancock Department of Computer Science, University of York, UK CVPR 2009 Reporter: Annie Lin."— Presentation transcript:

1 William A.P. Smith and Edwin R. Hancock Department of Computer Science, University of York, UK CVPR 2009 Reporter: Annie Lin

2 1. A unified model of specular and diffuse reflectance from microfacet model by describing both components of reflectance In terms of Fresnel theory and the same model of surface roughness. --- Parameter estimations that all have physical meaning. 2. Reflectance from surfaces 1. Surface Roughness model 3. A unified model 1. Masking and shadowing of microfacets 2. Fresnel reflectance 4. Specular reflectance 5. Diffuse reflectance

3  If the illumination, viewer and normal direction vectors are specified in global coordinate

4  Slope area distribution  [7] Torrance and Sparrow  Represent the number of facets per unit surface roughness

5  The model requires only three physically meaningful parameters:  The refractive index of the surface ( )  The surface roughness ( )  The albedo of the surface ( )

6  Masking and shadowing of microfacets  [5] Oren and Nayar  Fresnel reflectance  Fresnel’s equation:  Compute the proportion of light that is secularly reflected form the surface and that which enters the surface and is subsequently diffusely reflected

7  Only those microfacets hose normal vectors lie within a solid angle dw ’ around the vector H, halfway between the light source and viewer, are capable of secularly reflecting light into the solid angle dw, around the view direction vector

8  Radiance from a Lambertian patch  Diffuse radiance from a rough surface composed of shiny microfacets  the remaining proportion of the incident light  Account shadowing of the light source and Fresnel transmission into the surface

9  Characteristics of the diffuse model

10  The combination model:

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