沃罗诺伊纹理着色器节点

沃罗诺伊纹理着色器节点。

The Voronoi Texture node evaluates a Worley Noise at the input texture coordinates.

输入选项

The inputs are dynamic, they become available if needed depending on the node properties.

矢量

Texture coordinate to evaluate the noise at; defaults to Generated texture coordinates if the socket is left unconnected.

W

Texture coordinate to evaluate the noise at.

缩放

Scale of the noise.

Smoothness

The smoothness of the noise.

Smoothness: 0.0.	Smoothness: 0.25.	Smoothness: 0.5.	Smoothness: 1.0.
Smoothness: 0.0.	Smoothness: 0.25.	Smoothness: 0.5.	Smoothness: 1.0.

Exponent

Exponent of the Minkowski distance metric.

Exponent: 0.5.

Exponent: 1.0.

Exponent: 2.0.

Exponent: 32.0.

Randomness

The randomness of the noise.

Randomness: 1.0.

Randomness: 0.5.

Randomness: 0.25.

Randomness: 0.0.

属性

Dimensions

The dimensions of the space to evaluate the noise in.

• 1D

  Evaluate the noise in 1D space at the input W.

  2D

  Evaluate the noise in 2D space at the input Vector. The Z component is ignored.

  3D

  Evaluate the noise in 3D space at the input Vector.

  4D

  Evaluate the noise in 4D space at the input Vector and the input W as the fourth dimension.

Higher dimensions corresponds to higher render time, so lower dimensions should be used unless higher dimensions are necessary.

Feature

The Voronoi feature that the node will compute and return.

• F1

  Compute and return the distance to the closest feature point as well as its position and color.

  Distance.

  Color.

  Position.

  F2

  Compute and return the distance to the second closest feature point as well as its position and color.

  Distance.

  Color.

  Position.

  Smooth F1

  Compute and return a smooth version of F1.

  Distance.

  Color.

  Position.

  Distance To Edge

  Compute and return the distance to the edges of the Voronoi cells.

  Distance.

  Distance < 0.05.

  N-Sphere Radius

  Compute and return the radius of the n-sphere inscribed in the Voronoi cells. In other words, it is half the distance between the closest feature point and the feature point closest to it.

  The n-sphere radius can be used to create tightly packed n-spheres.

  Node tree for the shader to the left.

间距度量

The distance metric used to compute the texture.

• Euclidean

  Use the Euclidean distance metric.

  曼哈顿点距

  Use the Manhattan distance metric.

  切比雪夫

  Use the Chebychev distance metric.

  闵可夫斯基

  Use the Minkowski distance metric. The Minkowski distance is a generalization of the aforementioned metrics with an Exponent as a parameter. Minkowski with an exponent of one is equivalent to the Manhattan distance metric. Minkowski with an exponent of two is equivalent to the Euclidean distance metric. Minkowski with an infinite exponent is equivalent to the Chebychev distance metric.

闵可夫斯基指数为0.5(闵可夫斯基 1/2)。

闵可夫斯基指数为1.0(曼哈顿点距)。

Minkowski Exponent: 2.0 (Euclidean).

Minkowski Exponent: 32.0 (approximation of Chebychev).

输出选项

距离

Distance.

颜色

Cell color. The color is arbitrary.

Position

Position of feature point.

W

Position of feature point.

Radius

N-Sphere radius.

举例

The difference between F1 and Smooth F1 can be used to create beveled Voronoi cells.

Creating a hammered metal shader using the Voronoi Texture node.