WebGPU Matrix Math

This article is the 4th in a series of articles that will hopefully teach you about 3D math. Each one builds on the previous lesson so you may find them easiest to understand by reading them in order.

In the last 3 posts we went over how to translate, rotate, and scale vertex positions. Translation, rotation and scale are each considered a type of transformation. Each of these transformations required changes to the shader and each of the 3 transformations was order dependent.

In our previous example, we scaled, then rotated, then translated. If we applied those in a different order we’d get a different result.

For example here is a scale of 2, 1, rotation of 30 degrees, and translation of 100, 0.

And here is a translation of 100,0, rotation of 30 degrees and scale of 2, 1

The results are completely different. Even worse, if we needed the second example we’d have to write a different shader that applied the translation, rotation, and scale in our new desired order.

Well, some smart people way figured out that you can do all the same stuff with matrix math. For 2D we use a 3x3 matrix. A 3x3 matrix is like a grid with 9 boxes:

1	4	7
2	5	8
3	6	9

To do the math we multiply the position across the rows of the matrix and add up the results.

Our positions only have 2 values, x and y, but to do this math we need 3 values so we’ll use 1 for the third value.

In this case our result would be

newX = x * 1 + y * 4 + 1 * 7

newY = x * 2 + y * 5 + 1 * 8

newZ = x * 3 + y * 6 + 1 * 9

You’re probably looking at that and thinking “WHAT’S THE POINT?” Well, let’s assume we have a translation. We’ll call the amount we want to translate by tx and ty. Let’s make a matrix like this

1	0	tx
0	1	ty
0	0	1

And now check it out

newX = x * 1 + y * 0 + 1 * tx

newY = x * 0 + y * 1 + 1 * ty

newZ = x * 0 + y * 0 + 1 * 1

If you remember your algebra, we can delete any place that multiplies by zero. Multiplying by 1 effectively does nothing so let’s simplify to see what’s happening

newX = x

* 1

y * 0 + 1 *

newY =

x * 0 +

* 1

1 *

newZ =

x * 0 + y * 0 +

* 1

or more succinctly

newX = x + tx;
newY = y + ty;

And newZ we don’t really care about.

That looks surprisingly like the translation code from our translation example.

Similarly let’s do rotation. Like we pointed out in the rotation post we just need the sine and cosine of the angle at which we want to rotate, so

s = Math.sin(angleToRotateInRadians);
c = Math.cos(angleToRotateInRadians);

And we build a matrix like this

c	-s	0
s	c	0
0	0	1

Applying the matrix we get this

newX = x * c + y * -s + 1 * 0

newY = x * s + y * c + 1 * 0

newZ = x * 0 + y * 0 + 1 * 1

Blacking out all multiply by 0s and 1s we get

newX = x * c + y * -s

+ 1 * 0

newY = x * s + y * c

+ 1 * 0

newZ =

x * 0 + y * 0 +

* 1

And simplifying we get

newX = x * c - y * s;
newY = x * s + y * c;

Which is exactly what we had in our rotation example.

And lastly scale. We’ll call our 2 scale factors sx and sy

And we build a matrix like this

sx	0	0
0	sy	0
0	0	1

Applying the matrix we get this

newX = x * sx + y * 0 + 1 * 0

newY = x * 0 + y * sy + 1 * 0

newZ = x * 0 + y * 0 + 1 * 1

which is really

newX = x * sx

+ y * 0 + 1 * 0

newY =

x * 0 +

y * sy

+ 1 * 0

newZ =

x * 0 + y * 0 +

* 1

which simplified is

newX = x * sx;
newY = y * sy;

Which is the same as our scaling example.

Now I’m sure you might still be thinking “So what? What’s the point?” That seems like a lot of work just to do the same thing we were already doing.

This is where the magic comes in. It turns out we can multiply matrices together and apply all the transformations at once. Let’s assume we have a function, m3.multiply, that takes two matrices, multiplies them and returns the result.

const mat3 = {
  multiply: function(a, b) {
    const a00 = a[0 * 3 + 0];
    const a01 = a[0 * 3 + 1];
    const a02 = a[0 * 3 + 2];
    const a10 = a[1 * 3 + 0];
    const a11 = a[1 * 3 + 1];
    const a12 = a[1 * 3 + 2];
    const a20 = a[2 * 3 + 0];
    const a21 = a[2 * 3 + 1];
    const a22 = a[2 * 3 + 2];
    const b00 = b[0 * 3 + 0];
    const b01 = b[0 * 3 + 1];
    const b02 = b[0 * 3 + 2];
    const b10 = b[1 * 3 + 0];
    const b11 = b[1 * 3 + 1];
    const b12 = b[1 * 3 + 2];
    const b20 = b[2 * 3 + 0];
    const b21 = b[2 * 3 + 1];
    const b22 = b[2 * 3 + 2];

    return [
      b00 * a00 + b01 * a10 + b02 * a20,
      b00 * a01 + b01 * a11 + b02 * a21,
      b00 * a02 + b01 * a12 + b02 * a22,
      b10 * a00 + b11 * a10 + b12 * a20,
      b10 * a01 + b11 * a11 + b12 * a21,
      b10 * a02 + b11 * a12 + b12 * a22,
      b20 * a00 + b21 * a10 + b22 * a20,
      b20 * a01 + b21 * a11 + b22 * a21,
      b20 * a02 + b21 * a12 + b22 * a22,
    ];
  }
}

To make things clearer let’s make functions to build matrices for translation, rotation and scale.

const mat3 = {
  multiply(a, b) {
    ...
  },
  translation([tx, ty]) {
    return [
      1, 0, 0,
      0, 1, 0,
      tx, ty, 1,
    ];
  },

  rotation(angleInRadians) {
    const c = Math.cos(angleInRadians);
    const s = Math.sin(angleInRadians);
    return [
      c, s, 0,
      -s, c, 0,
      0, 0, 1,
    ];
  },

  scaling([sx, sy]) {
    return [
      sx, 0, 0,
      0, sy, 0,
      0, 0, 1,
    ];
  },
};

Now let’s change our shader to use a matrix

struct Uniforms {
  color: vec4f,
  resolution: vec2f,
-  translation: vec2f,
-  rotation: vec2f,
-  scale: vec2f,
+  matrix: mat3x3f,
};

...

@vertex fn vs(vert: Vertex) -> VSOutput {
  var vsOut: VSOutput;

-  // Scale the position
-  let scaledPosition = vert.position * uni.scale;
-
-  // Rotate the position
-  let rotatedPosition = vec2f(
-    scaledPosition.x * uni.rotation.x - scaledPosition.y * uni.rotation.y,
-    scaledPosition.x * uni.rotation.y + scaledPosition.y * uni.rotation.x
-  );
-
-  // Add in the translation
-  let position = rotatedPosition + uni.translation;
+  // Multiply by a matrix
+  let position = (uni.matrix * vec3f(vert.position, 1)).xy;

  ...

As you can see above we passed in 1 for z. Multiplied the position by the matrix, then just kept x and y from the result.

Again we need to update our uniform buffer size and offsets

-  // color, resolution, translation, rotation, scale
-  const uniformBufferSize = (4 + 2 + 2 + 2 + 2) * 4;
+  // color, resolution, padding, matrix
+  const uniformBufferSize = (4 + 2 + 2 + 12) * 4;
  const uniformBuffer = device.createBuffer({
    label: 'uniforms',
    size: uniformBufferSize,
    usage: GPUBufferUsage.UNIFORM | GPUBufferUsage.COPY_DST,
  });

  const uniformValues = new Float32Array(uniformBufferSize / 4);

  // offsets to the various uniform values in float32 indices
  const kColorOffset = 0;
  const kResolutionOffset = 4;
  const kMatrixOffset = 8;

  const colorValue = uniformValues.subarray(kColorOffset, kColorOffset + 4);
  const resolutionValue = uniformValues.subarray(kResolutionOffset, kResolutionOffset + 2);
-  const translationValue = uniformValues.subarray(kTranslationOffset, kTranslationOffset + 2);
-  const rotationValue = uniformValues.subarray(kRotationOffset, kRotationOffset + 2);
-  const scaleValue = uniformValues.subarray(kScaleOffset, kScaleOffset + 2);
+  const matrixValue = uniformValues.subarray(kMatrixOffset, kMatrixOffset + 12);

And finally we need to do some matrix math at render time

  function render() {
    ...
+    const translationMatrix = mat3.translation(settings.translation);
+    const rotationMatrix = mat3.rotation(settings.rotation);
+    const scaleMatrix = mat3.scaling(settings.scale);
+
+    let matrix = mat3.multiply(translationMatrix, rotationMatrix);
+    matrix = mat3.multiply(matrix, scaleMatrix);

    // Set the uniform values in our JavaScript side Float32Array
    resolutionValue.set([canvas.width, canvas.height]);
-    translationValue.set(settings.translation);
-    rotationValue.set([
-        Math.cos(settings.rotation),
-        Math.sin(settings.rotation),
-    ]);
-    scaleValue.set(settings.scale);
+    matrixValue.set([
+      ...matrix.slice(0, 3), 0,
+      ...matrix.slice(3, 6), 0,
+      ...matrix.slice(6, 9), 0,
+    ]);

Here’s it is using our new code. The sliders are the same, translation, rotation and scale. But the way they get used in the shader is much simpler.

click here to open in a separate window

Columns are Rows

In the description of how a matrix works we talked about multiplying by columns. As one example we showed this matrix as an example of a translation matrix.

1	0	tx
0	1	ty
0	0	1

But when we actually built the matrix in code we did this

  translation([tx, ty]) {
    return [
      1, 0, 0,
      0, 1, 0,
      tx, ty, 1,
    ];
  },

The tx, ty, 1 part is in the bottom row, not the last column.

  translation([tx, ty]) {
    return [
      1, 0, 0,   // <-- 1st column
      0, 1, 0,   // <-- 2nd column
      tx, ty, 1, // <-- 3rd column
    ];
  },

The way some graphics gurus resolve this is they call these columns. Sadly, it’s just something you have to get used to. Math books and math articles on the net will show matrices like the diagram above where tx, ty, 1 are in the last column but when we put them in code, at least in WebGPU, we specify them as above.

Matrix Math is Flexible

Still, you might be asking, so what? That doesn’t seem like much of a benefit. The benefit is, now, if we want to change the order of operations, we don’t have to write a new shader. We can just change the math in JavaScript

-    let matrix = mat3.multiply(translationMatrix, rotationMatrix);
-    matrix = mat3.multiply(matrix, scaleMatrix);
+    let matrix = mat3.multiply(scaleMatrix, rotationMatrix);
+    matrix = mat3.multiply(matrix, translationMatrix);

Above we switched from applying translation→rotation→scale to scale→rotation→translation

click here to open in a separate window

Play with the sliders and you’ll see the react differently now what we’re composing the matrices in a different order. For example, translation is happening after rotation

translation→rotation→scale

scale→rotation→translation

The one on the left could be described as a scaled and rotated F, translated left and right. Where as the one on the right could better be described as the translation itself has been rotated and scaled. The movement is not left↔right, it’s diagonal. The further, the F on th right not moving nearly as far because the translate itself has been scaled.

This flexibility is why matrix math is a core component of all most all computer graphics.

Being able to apply matrices like this is especially important for hierarchical animation like arms and legs on a body, moons around a planet around a sun, or branches on a tree. For a simple example of hierarchical matrix application lets draw the ‘F’ five times, but each time lets start with the matrix from the previous ‘F’.

To do this we need 5 uniform buffers, 5 uniform values, and 5 bindGroups

+  const numObjects = 5;
+  const objectInfos = [];
+  for (let i = 0; i < numObjects; ++i) {
    // color, resolution, padding, matrix
    const uniformBufferSize = (4 + 2 + 2 + 12) * 4;
    const uniformBuffer = device.createBuffer({
      label: 'uniforms',
      size: uniformBufferSize,
      usage: GPUBufferUsage.UNIFORM | GPUBufferUsage.COPY_DST,
    });

    const uniformValues = new Float32Array(uniformBufferSize / 4);

    // offsets to the various uniform values in float32 indices
    const kColorOffset = 0;
    const kResolutionOffset = 4;
    const kMatrixOffset = 8;

    const colorValue = uniformValues.subarray(kColorOffset, kColorOffset + 4);
    const resolutionValue = uniformValues.subarray(kResolutionOffset, kResolutionOffset + 2);
    const matrixValue = uniformValues.subarray(kMatrixOffset, kMatrixOffset + 12);

    // The color will not change so let's set it once at init time
    colorValue.set([Math.random(), Math.random(), Math.random(), 1]);

    const bindGroup = device.createBindGroup({
      label: 'bind group for object',
      layout: pipeline.getBindGroupLayout(0),
      entries: [
        { binding: 0, resource: { buffer: uniformBuffer }},
      ],
    });

+    objectInfos.push({
+      uniformBuffer,
+      uniformValues,
+      resolutionValue,
+      matrixValue,
+      bindGroup,
+    });
+  }

At render time we loop through the them and multiply the previous matrix by our translation, rotation, and scale matrices.

function render() {
  ...

  const translationMatrix = mat3.translation(settings.translation);
  const rotationMatrix = mat3.rotation(settings.rotation);
  const scaleMatrix = mat3.scaling(settings.scale);

-  let matrix = mat3.multiply(translationMatrix, rotationMatrix);
-  matrix = mat3.multiply(matrix, scaleMatrix);

+  // Starting Matrix.
+  let matrix = mat3.identity();
+
+  for (const {
+    uniformBuffer,
+    uniformValues,
+    resolutionValue,
+    matrixValue,
+    bindGroup,
+  } of objectInfos) {
+    matrix = mat3.multiply(matrix, translationMatrix)
+    matrix = mat3.multiply(matrix, rotationMatrix);
+    matrix = mat3.multiply(matrix, scaleMatrix);

    // Set the uniform values in our JavaScript side Float32Array
    resolutionValue.set([canvas.width, canvas.height]);
    matrixValue.set([
      ...matrix.slice(0, 3), 0,
      ...matrix.slice(3, 6), 0,
      ...matrix.slice(6, 9), 0,
    ]);

    // upload the uniform values to the uniform buffer
    device.queue.writeBuffer(uniformBuffer, 0, uniformValues);

    pass.setBindGroup(0, bindGroup);
    pass.drawIndexed(numVertices);
+  }

  pass.end();

To make this work we introduced the function, mat3.identity, that makes an identity matrix. An identity matrix is a matrix that effectively represents 1.0 so that if you multiply by the identity nothing happens. Just like

X * 1 = X

so too

matrixX * identity = matrixX

Here’s the code to make an identity matrix.

const mat3 = {
  ...
  identity() {
    return [
      1, 0, 0,
      0, 1, 0,
      0, 0, 1,
    ];
  },

  ...

Here’s the five Fs.

click here to open in a separate window

Drag the sliders and see how each subsequent ‘F’ is drawn relative to the previous ‘F’'s size and orientation. This is how an arm on a CG human works where the rotation of the arm affects the forearm, and the rotation of the forearm affects than hand, and the rotation of the hand affects the fingers, etc…

Changing the Center of Rotation or Scaling

Let’s see one more example. In every example so far, our ‘F’ rotates around its top left corner (well except for the example were we reversed the order above). This is because the math we are using always rotates around the origin and the top left corner of our ‘F’ is at the origin, (0, 0).

But now, because we can do matrix math, and we can choose the order that transforms are applied, we can move the origin.

    const translationMatrix = mat3.translation(settings.translation);
    const rotationMatrix = mat3.rotation(settings.rotation);
    const scaleMatrix = mat3.scaling(settings.scale);
+    // make a matrix that will move the origin of the 'F' to its center.
+    const moveOriginMatrix = mat3.translation([-50, -75]);

    let matrix = mat3.multiply(translationMatrix, rotationMatrix);
    matrix = mat3.multiply(matrix, scaleMatrix);
+    matrix = mat3.multiply(matrix, moveOriginMatrix);

Above we had a translation to move the F -50, -75. This moves all of it’s points so 0,0 is at the center of the F. Drag the sliders and Notice the F rotates and scales around its center.

click here to open in a separate window

Using that technique, you can rotate or scale from any point. Now you know how your favorite image editing program lets you move the rotation point.

Adding in Projection

Let’s go even more crazy. You might remember we have code in the shader to convert from pixels to clip space that looks like this.

// convert the position from pixels to a 0.0 to 1.0 value
let zeroToOne = position / uni.resolution;

// convert from 0 <-> 1 to 0 <-> 2
let zeroToTwo = zeroToOne * 2.0;

// covert from 0 <-> 2 to -1 <-> +1 (clip space)
let flippedClipSpace = zeroToTwo - 1.0;

// flip Y
let clipSpace = flippedClipSpace * vec2f(1, -1);

vsOut.position = vec4f(clipSpace, 0.0, 1.0);

If you look at each of those steps in turn:

The first step, “convert the position from pixels to a 0.0 to 1.0 value”, is really a scale operation. zeroToOne = position / uni.resolution is the same as zeroToOne = position * (1 / uni.resolution) which is scaling.

The second step, let zeroToTwo = zeroToOne * 2.0; is also a scale operation. It’s scaling by 2.

The 3rd step, flippedClipSpace = zeroToTwo - 1.0; is a translation.

The 4th step, clipSpace = flippedClipSpace * vec2f(1, -1); is a scale.

So, we could add this to our math

+  const scaleBy1OverResolutionMatrix = mat3.scaling([1 / canvas.width, 1 / canvas.height]);
+  const scaleBy2Matrix = mat3.scaling([2, 2]);
+  const translateByMinus1 = mat3.translation([-1, -1]);
+  const scaleBy1Minus1 = mat3.scaling([1, -1]);

  const translationMatrix = mat3.translation(settings.translation);
  const rotationMatrix = mat3.rotation(settings.rotation);
  const scaleMatrix = mat3.scaling(settings.scale);

-  let matrix = mat3.multiply(translationMatrix, rotationMatrix);
+  let matrix = mat3.multiply(scaleBy1Minus1, translateByMinus1);
+  matrix = mat3.multiply(matrix, scaleBy2Matrix);
+  matrix = mat3.multiply(matrix, scaleBy1OverResolutionMatrix);
+  matrix = mat3.multiply(matrix, translationMatrix);
+  matrix = mat3.multiply(matrix, rotationMatrix);
  matrix = mat3.multiply(matrix, scaleMatrix);

Then our shader would could change to this

struct Uniforms {
  color: vec4f,
-  resolution: vec2f,
  matrix: mat3x3f,
};

struct Vertex {
  @location(0) position: vec2f,
};

struct VSOutput {
  @builtin(position) position: vec4f,
};

@group(0) @binding(0) var<uniform> uni: Uniforms;

@vertex fn vs(vert: Vertex) -> VSOutput {
  var vsOut: VSOutput;

-  let position = (uni.matrix * vec3f(vert.position, 1)).xy;
-
-  // convert the position from pixels to a 0.0 to 1.0 value
-  let zeroToOne = position / uni.resolution;
-
-  // convert from 0 <-> 1 to 0 <-> 2
-  let zeroToTwo = zeroToOne * 2.0;
-
-  // covert from 0 <-> 2 to -1 <-> +1 (clip space)
-  let flippedClipSpace = zeroToTwo - 1.0;
-
-  // flip Y
-  let clipSpace = flippedClipSpace * vec2f(1, -1);
-
-  vsOut.position = vec4f(clipSpace, 0.0, 1.0);
+  let clipSpace = (uni.matrix * vec3f(vert.position, 1)).xy;
+
+  vsOut.position = vec4f(clipSpace, 0.0, 1.0);
  return vsOut;
}

@fragment fn fs(vsOut: VSOutput) -> @location(0) vec4f {
  return uni.color;
}

Our shader is super simple now and we’ve lost no functionally. In fact it’s become more flexible! We’re no longer hard coded to representing pixels. We could choose different units from outside the shader. All because we’re using matrix math.

Rather than make those 4 extra matrices though, we could just make a function that generates the same result

const mat3 = {
  projection(width, height) {
    // Note: This matrix flips the Y axis so that 0 is at the top.
    return [
      2 / width, 0, 0,
      0, -2 / height, 0,
      -1, 1, 1,
    ];
  },

  ...

And our JavaScript would change to this

-  const scaleBy1OverResolutionMatrix = mat3.scaling([1 / canvas.width, 1 / canvas.height]);
-  const scaleBy2Matrix = mat3.scaling([2, 2]);
-  const translateByMinus1 = mat3.translation([-1, -1]);
-  const scaleBy1Minus1 = mat3.scaling([1, -1]);
  const projectionMatrix = mat3.projection(canvas.clientWidth, canvas.clientHeight);
  const translationMatrix = mat3.translation(settings.translation);
  const rotationMatrix = mat3.rotation(settings.rotation);
  const scaleMatrix = mat3.scaling(settings.scale);

-  let matrix = mat3.multiply(scaleBy1Minus1, translateByMinus1);
-  matrix = mat3.multiply(matrix, scaleBy2Matrix);
-  matrix = mat3.multiply(matrix, scaleBy1OverResolutionMatrix);
-  matrix = mat3.multiply(matrix, translationMatrix);
  let matrix = mat3.multiply(projectionMatrix, translationMatrix);
  matrix = mat3.multiply(matrix, rotationMatrix);
  matrix = mat3.multiply(matrix, scaleMatrix);
  matrix = mat3.multiply(matrix, moveOriginMatrix);

We also removed the code that made space for the resolution in our uniform buffer and the code that set it.

With this last step we’ve gone from a rather complicated shader with 6-7 steps to a very simple shader with only 1 step that is more flexible, all due to the magic of matrix math.

click here to open in a separate window

Matrix Multiply as we go

Before we move on let’s simplify a little bit. While it’s common to generate various matrices and separately multiply them together it’s also common to just multiply them as we go. Effectively we could write functions like this

const mat3 = {

  ...

  translate: function(m, translation) {
    return m3.multiply(m, m3.translation(translation));
  },

  rotate: function(m, angleInRadians) {
    return m3.multiply(m, m3.rotation(angleInRadians));
  },

  scale: function(m, scale) {
    return m3.multiply(m, m3.scaling(scale));
  },

  ...

};

This would let us change 7 lines of matrix code above to just 4 lines like this

const projectionMatrix = mat3.projection(canvas.clientWidth, canvas.clientHeight);
-const translationMatrix = mat3.translation(settings.translation);
-const rotationMatrix = mat3.rotation(settings.rotation);
-const scaleMatrix = mat3.scaling(settings.scale);
-
-let matrix = mat3.multiply(projectionMatrix, translationMatrix);
-matrix = mat3.multiply(matrix, rotationMatrix);
-matrix = mat3.multiply(matrix, scaleMatrix);
+let matrix = mat3.translate(projectionMatrix, settings.translation);
+matrix = mat3.rotate(matrix, settings.rotation);
+matrix = mat3.scale(matrix, settings.scale);

mat3x3 is 3 padded vec3fs

As pointed out in the article on memory layout, vec3fs often take the space of 4 floats, not 3.

This is what a mat3x3f looks like in memory

This is why we needed this code to copy it into the uniform values

    matrixValue.set([
      ...matrix.slice(0, 3), 0,
      ...matrix.slice(3, 6), 0,
      ...matrix.slice(6, 9), 0,
    ]);

We could fix that by changing the matrix functions to expect/handle the padding.

const mat3 = {
  projection(width, height) {
    // Note: This matrix flips the Y axis so that 0 is at the top.
    return [
-      2 / width, 0, 0,
-      0, -2 / height, 0,
-      -1, 1, 1,
+      2 / width, 0, 0, 0,
+      0, -2 / height, 0, 0,
+      -1, 1, 1, 0,
    ];
  },
  identity() {
    return [
-      1, 0, 0,
-      0, 1, 0,
-      0, 0, 1,
+      1, 0, 0, 0,
+      0, 1, 0, 0,
+      0, 0, 1, 0,
    ];
  },
  multiply(a, b) {
-    const a00 = a[0 * 3 + 0];
-    const a01 = a[0 * 3 + 1];
-    const a02 = a[0 * 3 + 2];
-    const a10 = a[1 * 3 + 0];
-    const a11 = a[1 * 3 + 1];
-    const a12 = a[1 * 3 + 2];
-    const a20 = a[2 * 3 + 0];
-    const a21 = a[2 * 3 + 1];
-    const a22 = a[2 * 3 + 2];
-    const b00 = b[0 * 3 + 0];
-    const b01 = b[0 * 3 + 1];
-    const b02 = b[0 * 3 + 2];
-    const b10 = b[1 * 3 + 0];
-    const b11 = b[1 * 3 + 1];
-    const b12 = b[1 * 3 + 2];
-    const b20 = b[2 * 3 + 0];
-    const b21 = b[2 * 3 + 1];
-    const b22 = b[2 * 3 + 2];
+    const a00 = a[0 * 4 + 0];
+    const a01 = a[0 * 4 + 1];
+    const a02 = a[0 * 4 + 2];
+    const a10 = a[1 * 4 + 0];
+    const a11 = a[1 * 4 + 1];
+    const a12 = a[1 * 4 + 2];
+    const a20 = a[2 * 4 + 0];
+    const a21 = a[2 * 4 + 1];
+    const a22 = a[2 * 4 + 2];
+    const b00 = b[0 * 4 + 0];
+    const b01 = b[0 * 4 + 1];
+    const b02 = b[0 * 4 + 2];
+    const b10 = b[1 * 4 + 0];
+    const b11 = b[1 * 4 + 1];
+    const b12 = b[1 * 4 + 2];
+    const b20 = b[2 * 4 + 0];
+    const b21 = b[2 * 4 + 1];
+    const b22 = b[2 * 4 + 2];

    return [
      b00 * a00 + b01 * a10 + b02 * a20,
      b00 * a01 + b01 * a11 + b02 * a21,
      b00 * a02 + b01 * a12 + b02 * a22,
+      0,
      b10 * a00 + b11 * a10 + b12 * a20,
      b10 * a01 + b11 * a11 + b12 * a21,
      b10 * a02 + b11 * a12 + b12 * a22,
+      0,
      b20 * a00 + b21 * a10 + b22 * a20,
      b20 * a01 + b21 * a11 + b22 * a21,
      b20 * a02 + b21 * a12 + b22 * a22,
+      0,
    ];
  },
  translation([tx, ty]) {
    return [
-      1, 0, 0,
-      0, 1, 0,
-      tx, ty, 1,
+      1, 0, 0, 0,
+      0, 1, 0, 0, 
+      tx, ty, 1, 0,
    ];
  },

  rotation(angleInRadians) {
    const c = Math.cos(angleInRadians);
    const s = Math.sin(angleInRadians);
    return [
-      c, s, 0,
-      -s, c, 0,
-      0, 0, 1,
+      c, s, 0, 0,
+      -s, c, 0, 0,
+      0, 0, 1, 0,
    ];
  },

  scaling([sx, sy]) {
    return [
-      sx, 0, 0,
-      0, sy, 0,
-      0, 0, 1,
+      sx, 0, 0, 0, 
+      0, sy, 0, 0,
+      0, 0, 1, 0,
    ];
  },
};

Now we can change the part that sets our matrix

-    matrixValue.set([
-      ...matrix.slice(0, 3), 0,
-      ...matrix.slice(3, 6), 0,
-      ...matrix.slice(6, 9), 0,
-    ]);
+    matrixValue.set(matrix);

Updating Matrices in place

Another thing we can do is allow passing in a matrix to our matrix functions. This would allow us to update a matrix in place, instead of copying it. It’s useful to have both options so we’ll make it so that if a destination matrix is not passed in we’ll make a new matrix. Otherwise we’ll use the one that was passed in.

To take 3 examples

const mat3 = {
-  multiply(a, b) {
+  multiply(a, b, dst) {
+    dst = dst || new Float32Array(12);
    const a00 = a[0 * 4 + 0];
    const a01 = a[0 * 4 + 1];
    const a02 = a[0 * 4 + 2];
    const a10 = a[1 * 4 + 0];
    const a11 = a[1 * 4 + 1];
    const a12 = a[1 * 4 + 2];
    const a20 = a[2 * 4 + 0];
    const a21 = a[2 * 4 + 1];
    const a22 = a[2 * 4 + 2];
    const b00 = b[0 * 4 + 0];
    const b01 = b[0 * 4 + 1];
    const b02 = b[0 * 4 + 2];
    const b10 = b[1 * 4 + 0];
    const b11 = b[1 * 4 + 1];
    const b12 = b[1 * 4 + 2];
    const b20 = b[2 * 4 + 0];
    const b21 = b[2 * 4 + 1];
    const b22 = b[2 * 4 + 2];

-    return [
-      b00 * a00 + b01 * a10 + b02 * a20,
-      b00 * a01 + b01 * a11 + b02 * a21,
-      b00 * a02 + b01 * a12 + b02 * a22,
-      0,
-      b10 * a00 + b11 * a10 + b12 * a20,
-      b10 * a01 + b11 * a11 + b12 * a21,
-      b10 * a02 + b11 * a12 + b12 * a22,
-      0,
-      b20 * a00 + b21 * a10 + b22 * a20,
-      b20 * a01 + b21 * a11 + b22 * a21,
-      b20 * a02 + b21 * a12 + b22 * a22,
-      0,
-    ];
+    dst[ 0] = b00 * a00 + b01 * a10 + b02 * a20;
+    dst[ 1] = b00 * a01 + b01 * a11 + b02 * a21;
+    dst[ 2] = b00 * a02 + b01 * a12 + b02 * a22;
+
+    dst[ 4] = b10 * a00 + b11 * a10 + b12 * a20;
+    dst[ 5] = b10 * a01 + b11 * a11 + b12 * a21;
+    dst[ 6] = b10 * a02 + b11 * a12 + b12 * a22;
+
+    dst[ 7] = b20 * a00 + b21 * a10 + b22 * a20;
+    dst[ 8] = b20 * a01 + b21 * a11 + b22 * a21;
+    dst[ 9] = b20 * a02 + b21 * a12 + b22 * a22;
+    return dst;
  },
-  translation([tx, ty]) {
+  translation([tx, ty], dst) {
+    dst = dst || new Float32Array(12);
-    return [
-      1, 0, 0, 0,
-      0, 1, 0, 0,
-      tx, ty, 1, 0,
-    ];
+    dst[0] = 1;   dst[1] = 0;   dst[ 2] = 0;
+    dst[4] = 0;   dst[5] = 1;   dst[ 6] = 0;
+    dst[8] = tx;  dst[9] = ty;  dst[10] = 1;
+    return dst;
  },
-  translate(m, translation) {
-    return mat3.multiply(m, mat3.translation(m));
+  translate(m, translation, dst) {
+    return mat3.multiply(m, mat3.translation(m), dst);
  }

  ...

Doing the same for the other functions and now our code can change to this

-    const projectionMatrix = mat3.projection(canvas.clientWidth, canvas.clientHeight);
-    let matrix = mat3.translate(projectionMatrix, settings.translation);
-    matrix = mat3.rotate(matrix, settings.rotation);
-    matrix = mat3.scale(matrix, settings.scale);
-    matrixValue.set(matrix);
+    mat3.projection(canvas.clientWidth, canvas.clientHeight, matrixValue);
+    mat3.translate(matrixValue, settings.translation, matrixValue);
+    mat3.rotate(matrixValue, settings.rotation, matrixValue);
+    mat3.scale(matrixValue, settings.scale, matrixValue);

We no longer need to copy the matrix into matrixValue. Instead we can operate directly on it.

click here to open in a separate window

Transform the Points vs Transform the Space

One last thing, we saw above order matters. In the first example we had

translation * rotation * scale

and in the second we had

scale * rotation * translation

And we saw how they are different.

The are 2 ways to look at matrices. Given the expression

projectionMat * translationMat * rotationMat * scaleMat * position

The first way which many people find natural is to start on the right and work to the left

First we multiply the position by the scale matrix to get a scaled position

scaledPosition = scaleMat * position

Then we multiply the scaledPosition by the rotation matrix to get a rotatedScaledPosition

rotatedScaledPosition = rotationMat * scaledPosition

Then we multiply the rotatedScaledPosition by the translation matrix to get a translatedRotatedScaledPosition

translatedRotatedScaledPosition = translationMat * rotatedScaledPosition

And finally we multiply that by the projection matrix to get clip space positions

clipSpacePosition = projectionMatrix * translatedRotatedScaledPosition

The 2nd way to look at matrices is reading from left to right. In that case each matrix changes the space represented by the texture we’re drawing to. The texture starts with representing clip space (-1 to +1) in each direction. Each matrix applied from left to right changes the space represented by the canvas.

Step 1: no matrix (or the identity matrix)

The white area is the texture. Blue is outside the texture. We’re in clip space. Positions passed in need to be in clip space. The green area in the top right is the top left corner of the F. It’s upside down because in clip space +Y is up but the F was designed in pixel space which is +Y down. Further, clip space shows only 2x2 units but the F is 100x150 units big so we just see one unit’s worth.

Step 2: mat3.projection(canvas.clientWidth, canvas.clientHeight, matrixValue);

We’re now in pixel space. X = 0 to textureWidth, Y = 0 to textureHeight with 0,0 at the top left. Positions passed using this matrix in need to be in pixel space. The flash you see is when the space flips from positive Y = up to positive Y = down.

Step 3: mat3.translate(matrixValue, settings.translation, matrixValue);

The origin of the space has now been moved to tx, ty (150, 100).

Step 4: mat3.rotate(matrixValue, settings.rotation, matrixValue);

The space has been rotated around tx, ty

Step 5: mat3.scale(matrixValue, settings.scale, matrixValue);

The previously rotated space with its center at tx, ty has been scaled 2 in x, 1.5 in y

In the shader we then do clipSpace = uni.matrix * vert.position;. The vert.position values are effectively applied in this final space.

Use which ever way you feel is easier to understand.

I hope these articles have helped demystify matrix math. Next we’ll move on to 3D. In 3D the matrix math follows the same principles and usage. We started with 2D to hopefully keep it simple to understand.

Also, if you really want to become an expert in matrix math check out this amazing videos.

What are `clientWidth` and `clientHeight`?

Up until this point, whenever we referred to the canvas's dimensions we used canvas.width and canvas.height but above when we called mat3.projection we instead used canvas.clientWidth and canvas.clientHeight. Why?

Projection matrices are concerned with how to take clip space (-1 to +1 in each dimension) and convert it back to pixels. But, in the browser, there are 2 types of pixels we are dealing with. One is the number of pixels in the canvas itself. So for example a canvas defined like this.

  <canvas width="400" height="300"></canvas>

or one defined like this

  const canvas = document.createElement("canvas");
  canvas.width = 400;
  canvas.height = 300;

both contain an image 400 pixels wide by 300 pixels tall. But, that size is separate from what size the browser actually displays that 400x300 pixel canvas. CSS defines what size the canvas is displayed. For example if we made a canvas like this.

  <style>
    canvas {
      width: 100%;
      height: 100%;
    }
  </style>
  ...
  <canvas width="400" height="300"></canvas>

The canvas will be displayed whatever size its container is. That's likely not 400x300.

Here are two examples that set the canvas's CSS display size to 100% so the canvas is stretched out to fill the page. The first one uses canvas.width and canvas.height when calling mat3.projection. Open it in a new window and resize the window. Notice how the 'F' doesn't have the correct aspect. It gets distorted. It's also not in the correct place. The code says the top left corner should be at 150, 25 but as the canvas is stretched and shrunk the position where something we want to appear at 150, 25 moves.

click here to open in a separate window

This second example uses canvas.clientWidth and canvas.clientHeight when calling mat3.projection. canvas.clientWidth and canvas.clientHeight report the size the canvas is actually being displayed by the browser so in this case, even though the canvas still only has 400x300 pixels since we're defining our aspect ratio based on the size the canvas is being displayed the F always looks correct and the F is in the correct place.

click here to open in a separate window

Most apps that allow their canvases to be resized try to make the canvas.width and canvas.height match the canvas.clientWidth and canvas.clientHeight because they want there to be one pixel in the canvas for each pixel displayed by the browser. But, as we've seen above, that's not the only option. That means, in almost all cases, it's more technically correct to compute a projection matrix's aspect ratio using canvas.clientHeight and canvas.clientWidth.

Questions? Ask on stackoverflow.

Suggestion? Request? Issue? Bug?

Use <pre><code>code goes here</code></pre> for code blocks

webgpufundamentals.org

WebGPU Matrix Math

Columns are Rows

Matrix Math is Flexible

Changing the Center of Rotation or Scaling

Adding in Projection

Matrix Multiply as we go

mat3x3 is 3 padded vec3fs

Updating Matrices in place

Transform the Points vs Transform the Space

What are clientWidth and clientHeight?

What are `clientWidth` and `clientHeight`?