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Bidirectional reflectance distribution function
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The bidirectional reflectance distribution function (BRDF; ) is a 4-dimensional function that defines how light is reflected at an opaque surface. The function takes an incoming light direction, , and outgoing direction, , both defined with respect to the surface normal , and returns the ratio of reflected radiance exiting along to the irradiance incident on the surface from direction . Note that each direction is itself parameterized by azimuth angle and elevation , therefore the BRDF as a whole is 4-dimensional.

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Encyclopedia
The bidirectional reflectance distribution function (BRDF; ) is a 4-dimensional function that defines how light is reflected at an opaque surface. The function takes an incoming light direction, , and outgoing direction, , both defined with respect to the surface normal , and returns the ratio of reflected radiance exiting along to the irradiance incident on the surface from direction . Note that each direction is itself parameterized by azimuth angle and elevation , therefore the BRDF as a whole is 4-dimensional. The BRDF has units sr-1, with steradians (sr) being a unit of solid angle.
Definition The BRDF was first defined by Edward Nicodemus in the mid-sixties. The modern definition is:
where is the radiance, is the irradiance, and is the angle made between and the surface normal, .
Physically based BRDFs Physically based BRDFs have additional properties, including,
- obeying Helmholtz reciprocity: .
- conserving energy:
Applications
The BRDF is a fundamental radiometric concept, and accordingly is used in computer graphics for photorealistic rendering of synthetic scenes (see the Rendering equation), as well as in computer vision for many inverse problems such as object recognition.
Models
BRDFs can be measured directly from real objects using calibrated cameras and lightsources; however, many phenomenological and analytic models have been proposed including the Lambertian reflectance model frequently assumed in computer graphics. Some useful features of recent models include:
- accommodating anisotropic reflection
- editable using a small number of intuitive parameters
- accounting for Fresnel effects at grazing angles
- being well-suited to Monte Carlo methods.
Some examples
- Lambertian model, representing perfectly diffuse (matte) surfaces by a constant BRDF.
- Phong reflectance model, a phenomenological model akin to plastic-like specularity.
- Blinn-Phong model, resembling Phong, but allowing for certain quantities to be interpolated, reducing computational overhead.
- Torrance-Sparrow model, a general model representing surfaces as distributions of perfectly-specular microfacets.
- Cook-Torrance model, a specular-microfacet model (Torrance-Sparrow) accounting for wavelength and thus color shifting.
- Ward's anisotropic model, a specular-microfacet model with a elliptical-Gaussian distribution function dependent on surface tangent orientation (in addition to surface normal).
- Oren–Nayar model, a "directed-diffuse" microfacet model, with perfectly-diffuse (rather than specular) microfacets.
- Ashikhmin-Shirley model, allowing for anisotropic reflectance, along with a diffuse substrate under a specular surface.
- HTSG (He,Torrance,Sillion,Greenberg), a comprehensive physically-based model.
- Fitted Lafortune model, a generalization of Phong with multiple specular lobes, and intended for parametric fits of measured data.
Acquisition
Traditionally, BRDF measurements were taken for a specific lighting and viewing direction at a time using gonioreflectometers. Unfortunately, using such a device to densely measure the BRDF is very time consuming. One of the first improvements on these techniques used a half-silvered mirror and a digital camera to take many BRDF samples of a planar target at once. Since this work, many researchers have developed other devices for efficiently acquiring BRDFs from real world samples, and it remains an active area of research.
See also
Further reading
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