grass_impostor_base
A grass_impostor_base material is used for impostors. It can be applied to grass objects.
This article is deprecated and will be updated in further UNIGINE updates.
Impostor-trees
States
Rendering passes and options available for the material.
Materials editor, States tab.
Options
- Animation - procedural animation.
- Color noise - spatial color noise based on 2D texture.
- Ambient light - disable world light pass.
Textures
Textures available for the material. All of the textures fields have set default textures, which can be replaced by your own ones. Availability of some textures depends on the set Statesvalues.
Materials editor, Textures tab.
Base
Additional
- Spatial noise - spatial color noise texture.
A Spatial noise additional texture is present only if Color noise option is enabled.
Parameters
Parameters available for the material. All of the parameters have set default values, which can be replaced by your own ones. Availability of some parameters depends on the set Statesfield values.
Materials editor, Parameters tab.
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Transform
Texture transformation parameters:
- Impostor - impostor texture coordinates transformation.
Auxiliary
Auxiliary rendering pass parameters.
- Color - auxiliary rendering pass constant color
Auxiliary parameters are present only if Auxiliary rendering pass is set as Default.
Animation
Animation parameters:
- Stem noise - spatial noise scale.
- Stem offset - animation offset amplitude height scale.
- Stem radius - animation rotation amplitude scale.
- Stem scale - animation time scale.
Base
Base parameters:
- Shadow - shadow offset.
- Alpha - grass alpha channel scale.
Ambient
Environment texture parameters:
- Environment - environment texture lighting scale.
Shading
Shading parameters:
- Translucency - translucence of the material
- Diffuse - diffuse texture scale.
- Specular - specular texture power.
- Glossiness - specular texture scale.
Noise
Noise parameters:
- Transform - spatial noise texture coordinates transformation
- Scale - spatial noise texture color transformation
Last update: 03.07.2017
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