AI detection of facial expressions September 7, 2007Posted by Johan in AI, Applied, Emotion, Face Perception.
I’ve written previously about how algorithms that detect faces in images are appearing everywhere, including Google Images and many recent digital cameras, where they are used to ensure that focus is on the face (presumably, no one who buys a Cybershot is interested in the aesthetic effects of not having the face in focus).
This technology is being expanded into the realm of specific facial expressions by OMRON (among others), a company that just released software that promises to measure the smile factor of faces in a picture. The smile factor as OMRON conceives of it goes from 0 to 100 %, and will presumably serve to shift the blame nicely when you want people to smile more in a picture (“look, I think the picture is fine, but the camera thinks you should be smiling more”). It is only a matter of time before this makes it into digital cameras, soon followed by a spinach-on-the-teeth detector.
Other proposed applications for OMRON’s software include human-computer interactions, and as an objective measure of liking in food tasting studies. I imagine the software would also be useful for more theoretical investigations into emotional expressivity. As it stands, scoring the magnitude or kind of expression manually is quite tricky.
It never ceases to amaze me how object recognition software is steadily advancing along the ventral visual stream.