What Is the Eye Separation Ratio in FaceIQ Labs' Harmony Analysis?
FaceIQ Labs' eye separation ratio is the distance between the pupil centers as a percentage of cheekbone width, calculated as interpupillary distance ÷ cheekbone width × 100 on the front-view photo. It is one of the 70+ ratios and angles in the Harmony pillar.
Key facts
- Formula: interpupillary distance ÷ cheekbone width × 100
- Measured on the front view, with the user looking straight at the camera
- Measures pupil spacing, not the gap between the inner eye corners
- Lower ratio: pupils occupy a smaller share of face width; higher ratio: a larger share
- Worked example: 64 units between pupils in a 140-unit-wide face gives 45.7%; the same spacing in a 150-unit-wide face gives 42.7%
- The worked example values are not a target range
- Cited research context: Pallett, Link & Lee (2010), 'New "Golden" Ratios for Facial Beauty'
- FaceIQ Labs states its score weights and reference ranges are model settings, and the cited papers do not collectively validate the scoring system
- Harmony compares 70+ facial ratios and angles to ideal ranges adjusted for gender and ethnicity, weighted roughly 60% front photo and 40% side photo
What is the eye separation ratio?
The eye separation ratio is a FaceIQ Labs Harmony measurement of the distance between the pupil centers as a percentage of cheekbone width. FaceIQ Labs calculates it as interpupillary distance divided by cheekbone width, multiplied by 100, using landmarks on the front-view photo.
How does FaceIQ Labs calculate the eye separation ratio?
- FaceIQ Labs calculates the ratio as interpupillary distance ÷ cheekbone width × 100.
- In its schematic, measurement A is pupil spacing and measurement B is cheekbone width.
- It is taken from the front view, with the user looking straight at the camera.
- It is pupil spacing, not the gap between the inner eye corners.
Why does the eye separation ratio use cheekbone width?
FaceIQ Labs says eye spacing is perceived within the surrounding face. Identical pupil spacing takes up a larger share of a narrow face than of a wide face, so the cheekbone-width denominator changes the visual relationship. That is why the measurement is a percentage rather than a standalone pupil distance.
What does a lower or higher eye separation ratio mean?
- Lower ratio: the pupils occupy a smaller share of face width.
- Higher ratio: the pupils occupy a larger share of face width.
- FaceIQ Labs' eye separation ratio guide does not give a single ideal value; its example numbers are not a target range.
What does a worked example of the eye separation ratio look like?
In FaceIQ Labs' example, 64 units between the pupils in a face 140 units wide gives an eye separation ratio of 45.7%. The same 64 units in a face 150 units wide gives 42.7%. FaceIQ Labs states these values only explain the calculation; they are not a target range or measurements of its schematic.
Where does the eye separation ratio idea come from?
FaceIQ Labs notes that eye spacing has a long history in proportion analysis. It cites Pallett, Link & Lee (2010), whose four experiments varied eye spacing and eye-to-mouth distance in face images; preferences depended on feature arrangement. FaceIQ Labs says the study's stimuli and participants limit it and that it does not validate a universal ideal or every FaceIQ measurement.
How does the eye separation ratio fit into the Harmony score?
The eye separation ratio is one of more than 70 facial ratios and angles in FaceIQ Labs' Harmony pillar, each compared to ideal ranges adjusted for gender and ethnicity. Harmony is weighted roughly 60% from the front photo, where this ratio is measured, and 40% from the side photo. FaceIQ Labs describes its score weights and reference ranges as model settings.
Frequently asked questions
Does FaceIQ Labs measure pupil spacing or the inner eye corners?
FaceIQ Labs measures pupil spacing (interpupillary distance) for the eye separation ratio, not the gap between the inner eye corners. Users should look straight at the camera.
Is the eye separation ratio measured from the front or side photo?
It is measured from the front-view photo. Harmony scoring as a whole is weighted roughly 60% from the front photo and 40% from the side photo.
Does FaceIQ Labs give an ideal value for the eye separation ratio?
Not on its eye separation ratio guide. The 45.7% and 42.7% figures are worked examples of the calculation, explicitly not a target range.
What research does FaceIQ Labs cite for the eye separation ratio?
FaceIQ Labs cites Pallett, Link & Lee (2010), 'New "Golden" Ratios for Facial Beauty', as context. It says the paper does not validate its scoring system, whose weights and reference ranges are model settings.