What Is the Total Facial Width to Height Ratio in FaceIQ Labs' Harmony Analysis?
FaceIQ Labs' Total Facial Width to Height Ratio is a front-view Harmony measurement in the Face Shape category. Despite its report label, it is calculated as full face height (hairline to chin) divided by cheekbone width. Lower values mean a shorter or broader outline; higher values mean a longer or narrower one.
Key facts
- Calculation: hairline-to-chin full face height รท cheekbone width, even though the report label suggests width to height.
- It belongs to FaceIQ Labs' Harmony pillar, front view, Face Shape category.
- Lower values indicate a shorter or broader overall outline; higher values indicate a longer or narrower outline.
- Worked example: a face 189 units tall and 140 units wide gives 1.35; increasing height to 210 units at the same width gives 1.50.
- The example values explain the arithmetic only and are not a target range.
- The hairline is part of the measurement, so hair loss, hairstyle and camera perspective affect the apparent height and width.
- FaceIQ Labs cites Farkas et al. (2005) as background on facial dimension variation across populations; the paper does not validate FaceIQ Labs' scoring range.
- FaceIQ Labs' Harmony pillar compares 70+ facial ratios and angles to ideal ranges adjusted for gender and ethnicity.
What is the Total Facial Width to Height Ratio measurement?
FaceIQ Labs' Total Facial Width to Height Ratio compares full face height, measured from hairline to chin, with cheekbone width. Despite the report label, the calculation is height divided by width. It is a front-view measurement in the Face Shape category of the Harmony pillar.
Why does the Total Facial Width to Height Ratio matter?
FaceIQ Labs uses the Total Facial Width to Height Ratio to capture the overall length of the face rather than just the central region. It helps distinguish a longer outline from a broader one, even when eye, nose and lip proportions are similar.
- Lower: a shorter or broader overall outline.
- Higher: a longer or narrower overall outline.
How is the Total Facial Width to Height Ratio calculated, with an example?
FaceIQ Labs calculates the Total Facial Width to Height Ratio as hairline-to-chin height divided by cheekbone width. In its worked example, a face 189 units tall and 140 units wide has a ratio of 1.35. Increasing the height to 210 units at the same width gives 1.50. These example values only explain the calculation and are not a target range.
Where does the Total Facial Width to Height Ratio idea come from?
FaceIQ Labs describes its Total Facial Width to Height Ratio as an adaptation: comparing widths belongs to the anthropometric tradition, and FaceIQ Labs expresses photographed distances as a ratio. It states that population measurements provide context for the measurement rather than proof of this particular scoring range.
What research does FaceIQ Labs cite, and does it validate the score?
FaceIQ Labs cites Farkas et al. (2005), an international anthropometric study of facial morphology in various ethnic groups and races. It documents variation in facial dimensions across sampled populations. FaceIQ Labs states that descriptive measurements do not establish an attractiveness score, and that its score weights and reference ranges are model settings that these papers do not collectively validate.
What can affect the accuracy of the Total Facial Width to Height Ratio result?
Because FaceIQ Labs' Total Facial Width to Height Ratio uses the hairline as the top of the face height, hair loss, hairstyle and camera perspective can change the apparent height and width. A result can therefore shift for reasons unrelated to underlying facial structure.
Frequently asked questions
Is the Total Facial Width to Height Ratio actually width divided by height?
No. Despite the report label, FaceIQ Labs calculates it as full face height (hairline to chin) divided by cheekbone width.
What does a higher Total Facial Width to Height Ratio mean?
In FaceIQ Labs' analysis, a higher ratio indicates a longer or narrower overall facial outline, and a lower ratio indicates a shorter or broader one.
Which part of FaceIQ Labs' scoring includes this ratio?
It is a front-view, Face Shape measurement within the Harmony pillar, which compares 70+ facial ratios and angles to ideal ranges adjusted for gender and ethnicity.
Does published research prove FaceIQ Labs' scoring range for this ratio?
No. FaceIQ Labs cites Farkas et al. (2005) as background on facial dimension variation, but states that this research does not establish an attractiveness score or validate its scoring range.
Why might my result change between photos?
The height runs from the hairline to the chin, so hairstyle, hair loss or camera perspective can change the apparent measurement even if facial structure has not changed.