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weamp;#39;ve talked about using facial points as features descriptors Indicators whether thereamp;#39;s a facial expression or not as you can see you can just look at letamp;#39;s say the angle Here and compare that with the angle here, and they are very useful Theyamp;#39;re very powerful, but they canamp;#39;t decode everything for instance if you have a little dimple in the mouth thereamp;#39;s no real movement of the the of facial point Itamp;#39;s just [that] This mouth Corner is sort of pulling inwards, so [you] donamp;#39;t get a geometric variation you do get changes in appearance Itamp;#39;s these kinds of features [that] weamp;#39;re looking at when weamp;#39;re looking at appearance features. So theyamp;#39;re [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 vari
