@DrGBuckingham not far off the mark above, imo. 3D scans for body facial metrics are best, I reckon. @IrisHolzleitner does this really well.
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Replying to @Ben_C_J @AlexJonesPhD and
Facial metrics from 2D images are fine if you are just wanting to look at perceptions.
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Replying to @Ben_C_J @DrGBuckingham and
Right! But a serious correlation between some variable and facial proportions is way more convincing in 3D. Head tilt is an issue for fWHR
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Replying to @AlexJonesPhD @Ben_C_J and
but do you think other metrics (say averageness) may be less affected if you are standardised in a 2D setting? I wonder if there is data...
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Replying to @AlexJonesPhD @DrGBuckingham and
I think it is a problem for all face metrics. As more folk move to 3D stuff will get better tho.
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Replying to @Ben_C_J @AlexJonesPhD and
@RichieEvPsych has a project in the works looking at what info you can and can't get out of unstandardised 2D images.
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Replying to @Ben_C_J @DrGBuckingham and
Sounds great. Would love to hear more!
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Replying to @AlexJonesPhD @Ben_C_J and
A lot of it is really just putting numbers on what you see going on with Lisa's face above. I suspect selfie cameras also have wider lenses
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Replying to @Richie_Research @AlexJonesPhD and
Why do you think that actual face width is a good variable to measure/infer sexuality when there's no credible theory postulating a link?
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Replying to @o_guest @AlexJonesPhD and
It's a terrible measure. But the paper cites jaw contour & nose morph as what their ML used; this shows those are highly malleable.
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Sure, that's fine. But some people above are asking for 3d scans of people's heads.
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Replying to @o_guest @LisaDeBruine and
Sorry, just to clarify......my point was that if you want to measure stuff from faces, 3D scans are the best way to do it.
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