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Related nodes. Attributes.
The Vector Product utility node lets you multiply a vector
by another vector in several different ways. The Vector Product
node has three parts; two input attributes, an operator that is
applied to the two input attributes, and an output attribute for
holding the result of the operation.
This node uses standard vector/matrix mathematics. Say we have two
input vectors, (a,b,c) and (d,e,f), and we are calculating the
output vector (x, y, z). The calculations are
defined as follows:
The Dot Product
is useful for comparing the direction of two vectors.
If you turn on "Normalize Output", the Dot Product is actually
the cosine of the angle between the two vectors. A value of 1.0
means the vectors point the same way. A value of 0 means that
they are at right angles to each other. And a value of -1 means
that the vectors point in opposite directions.
Dot Product is defined as follows:
Dot Product = (a*d) + (b*e) + (c*f)
A dot product is a single value, so all three output values
x, y and z will be set to the same thing.
The Cross Product of two vectors gives you a new vector. This
new vector is guaranteed to be perpendicular (i.e. at
right angles to) both of the input vectors.
Cross Product is defined as follows:
x = (b*f)-(c*e)
y = (c*d)-(a*f)
z = (a*e)-(b*d)
Note: If you just want to do simple component-by-component
combinations of your vectors (i.e., x = a*d, y=b*e, z=c*f)
then you should use the Multiply Divide utility node instead
of the Vector Product utility node.
The Vector Matrix Product is useful for taking a vector
in one coordinate space and moving it to another. For example,
if you have a vector in camera coordinate space, you can multiply
it by the Xform Matrix attribute of the camera. That will give
you a new vector in world coordinate space.
Similarly, the Point Matrix Product is useful for taking
a point in one coordinate space and moving it to another. For
example, if you have a point in camera coordinate space, you can multiply
it by the Xform Matrix attribute of the camera. That will give
you a new point in world coordinate space.
Given an input vector (a, b, c) and an input matrix:
A B C D
E F G H
I J K L
M N O P
Then Vector Matrix Product is defined as follows:
x = (a*A) + (b*B) + (c*C)
y = (a*E) + (b*F) + (c*G)
z = (a*I) + (b*J) + (c*K)
And the Point Matrix Product is defined as follows:
x = (a*A) + (b*B) + (c*C) + D
y = (a*E) + (b*F) + (c*G) + H
z = (a*I) + (b*J) + (c*K) + L
In the table below, important attributes have their names listed
in bold in the description column.
This node is MP safe
Node name | Parents | Classification | MFn type | Compatible function sets |
---|
vectorProduct | dependNode
| utility/general | kVectorProduct | kBase kNamedObject kDependencyNode kVectorProduct |
Related nodes
plusMinusAverage, reverse, chooser, choice, blend, blendTwoAttr, blendWeighted, blendDevice
Attributes (15)
input1, input1X, input1Y, input1Z, input2, input2X, input2Y, input2Z, matrix, normalizeOutput, operation, output, outputX, outputY, outputZ
Long name (short name) | Type | Default | Flags |
---|
|
operation
(op )
| enum | 1 | |
|
|
input1
(i1 )
| float3 | 0.0, 0.0, 0.0 | |
|
|
|
|
|
input2
(i2 )
| float3 | 0.0, 0.0, 0.0 | |
|
|
|
|
|
matrix
(m )
| fltMatrix | identity | |
|
|
normalizeOutput
(no )
| bool | false | |
|
|
output
(o )
| float3 | 1.0, 0.0, 0.0 | |
|
| outputX
(ox )
| float | 0.0 | | |
|
| outputY
(oy )
| float | 0.0 | | |
|
| outputZ
(oz )
| float | 0.0 | | |
|