Facial Performance: 3 Essential Tips for Data Capture Protocols
Stop using dated facial capture protocols. Learn 3 essential tips for optimizing performance capture pipelines, from FACS grouping to ML training data needs.
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/p/ /b/ /m/ Bilabial Visemes & the Importance of Asymmetry
How our natural facial asymmetries come through in speech and serve an important role in achieving natural facial movements and authenticity in viseme production.
Eyelid Crease Variation
The depth and amount of lid skin in people with upper lid creases is highly variable! This is one of the many reasons eyeliner users can’t approach lining the same way. Got secrets hidden in there.
ARKit to FACS: Blendshape Cheat Sheet
If you or your team are using open-source face tracking kits, figuring out what’s what can be challenging. Navigate the ambiguity with the FACS Translation Sheet!
“It’s All In the Eyes” and Other Lies: A Critique On Contemporary Emotion Research
Can we really measure smile authenticity? An exploration of the common assumptions we make about expressions of emotion.
Faces You Don’t Want to See During UX Research – Especially For VR
Faces of discomfort often followed headset adjustment – or predicted upcoming adjustments. Bored faces and faces on the contempt spectrum tended to be predictive of undesirable experiences later disclosed during the post-demo interviews. These expressions were not just useful for predicting events. They also served as points for further investigation.