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What is percentage closer filtering?
Percentage closer filtering is used to deter- mine the proportion of z values in the region of the depth map that are closer to the light than the surface. This gives the proportion of the surface in shadow over the region. This proportion is then used to attenuate the intensity of the light.
What is PCF shadow?
Percentage Closer Filtering (PCF) is a common sampling/filtering technique to get rid of hard blocky shadow edges. It could be seen as a shadow-space antialiasing post process. Therefore the shadow value will be interpolated between the 4 related texels from the shadow map.
What is shadow filtering?
Instead of taking a single sample the shadow map is sampled multiple times in a small radius around the original sample position. The results of these shadow tests are averaged, which means that a pixel can be partially shadowed. Note. Shadow filtering is applied by the ShadowMaskRenderer (see also Shadow Masks).
What is shadow map filtering?
Shadow mapping is the method of choice for creating shadows in high-end rendering for motion pictures and television. High-end rendering software solves the aliasing problem by using a technique called percentage-closer filtering.
What is depth map shadow?
Depth map shadows A depth map is an data file that contains the depth data rendered from a light’s point of view. Each pixel in the depth map represents the distance from the light to the nearest shadow casting surface in a specific direction.
What is variance shadow mapping?
Variance shadow maps (VSM) replace the standard shadow map query with an analysis of the distribution of depth values. VSM employs variance and Chebyshev’s inequality to determine the amount of shadowing over an arbitrary filter kernel.
What is shadow modeling?
A shadow model is a non-editable model derived from existing models by model-to-model transformations. It is incrementally maintained while editing the input model. Transformations are described in a special language designed to support incremental updates of the output model.