Transformation Matrix Libinput Calculator

Model libinput coordinate transforms with matrix controls. Check rotations, flips, scaling, offsets, and mapped points. Create exportable reports for touch calibration tasks today quickly.

Calculator

Custom a to f values are used only when Custom Matrix is selected.

Formula Used

The affine matrix is written as:

x′ = a × x + b × y + c
y′ = d × x + e × y + f

The determinant is:

det = a × e − b × d

When det is not zero, the inverse matrix is:

aᵢ = e / det
bᵢ = -b / det
cᵢ = (b × f − e × c) / det
dᵢ = -d / det
eᵢ = a / det
fᵢ = (d × c − a × f) / det

How to Use This Calculator

Choose a preset transform or select Custom Matrix. Enter custom matrix values when needed. Add scale, shear, and translation adjustments. Enter a normalized test point. Press Calculate Matrix. The result appears above the form. Download the CSV or PDF report for later reference.

Example Data Table

Case Matrix Input Point Mapped Point Meaning
Identity 1 0 0 0 1 0 0.5, 0.5 0.5, 0.5 No coordinate change
Flip X -1 0 1 0 1 0 0.2, 0.7 0.8, 0.7 Horizontal mirror
Rotate 180 -1 0 1 0 -1 1 0.25, 0.75 0.75, 0.25 Screen turned upside down

Transformation Matrix Guide

Basic Idea

A libinput transformation matrix changes pointer or touch coordinates before they reach the desktop. The calculator models that mapping with normalized values. A point uses x and y values from zero to one. The matrix returns a new x and y value after rotation, flip, scale, shear, and offset.

Why The Matrix Matters

Touch screens, tablets, kiosks, and rotated displays often need calibration. A display may be mounted sideways. A panel may report mirrored input. A custom kiosk may need a smaller active area. The matrix fixes those cases without editing application code. It acts as a coordinate filter. That makes it useful for maths learning and device setup planning.

Core Matrix Behavior

The calculator uses six visible matrix values. They form a three by three affine matrix. The final row stays fixed as zero, zero, and one. This keeps the transform simple and practical. The a and e values usually control scaling. The b and d values handle rotation or shear. The c and f values shift the mapped point. The determinant shows the area change. It also shows whether the transform reverses orientation.

Advanced Options

Preset modes give fast starting points. Identity leaves the input unchanged. Rotation presets map common screen positions. Flip presets mirror one axis. Custom mode lets you enter every coefficient. Extra scale, shear, and translation controls are applied after the preset. This helps you build compound transforms in one pass.

Reading The Output

The output gives the final matrix string. It also gives the mapped test point. A determinant near zero warns about a collapsed coordinate plane. In that case, inverse mapping is unsafe. A positive determinant keeps orientation. A negative determinant means the transform includes a mirror. The inverse matrix is shown when it can be computed.

Practical Tips

Start with a preset close to your screen layout. Then adjust translation slowly. Use small steps, such as 0.01. Test the four corners. Try center point values too. Export results when the mapping looks correct. Keep a copy before changing a live device. This makes rollback easier and safer. Use the example table to compare expected movement, transformed output, and determinant meaning before saving a final calibration string for reuse.

FAQs

What is a libinput transformation matrix?

It is an affine matrix that remaps normalized input coordinates. It can rotate, flip, scale, shear, or translate touch and pointer positions.

Why are there only six matrix values?

The full affine matrix has nine values. Libinput style calibration keeps the final row fixed as zero, zero, and one.

What does the determinant show?

The determinant shows area scaling and orientation. A negative value means the transform includes a mirror. A zero value means collapse.

When should I use Custom Matrix?

Use Custom Matrix when you already know the six coefficients. Presets are better for common rotations and flips.

What is a normalized test point?

It is a coordinate from zero to one. The top or left edge is usually near zero. The opposite edge is near one.

Can this calculator find an inverse matrix?

Yes. It shows the inverse when the determinant is not zero. A near zero determinant makes inverse mapping unsafe.

Why is my mapped point outside the normal area?

Large translation, scaling, or shear can move points outside zero to one. Reduce offsets or scale values and test again.

Can I export the result?

Yes. After calculation, use the CSV or PDF buttons. They save the final matrix, mapped point, determinant, and status.

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