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weve talked about using facial points as features descriptors Indicators whether theres a facial expression or not as you can see you can just look at lets say the angle Here and compare that with the angle here, and they are very useful Theyre very powerful, but they cant decode everything for instance if you have a little dimple in the mouth theres no real movement of the the of facial point Its just [that] This mouth Corner is sort of pulling inwards, so [you] dont get a geometric variation you do get changes in appearance Its these kinds of features [that] were looking at when were looking at appearance features. So theyre [very] good at looking at first when I open a frown and So actually when I smile the corner of my mouth will look very different from a neutral position, [so] The question, then is how are we going [to] encode? disappearance and we want to minimize the variation in our you know features and our scripted thats caused by things that are irrelevant to
