The task of facial landmark extraction is fundamental in several applications which\ninvolve facial analysis, such as facial expression analysis, identity and face recognition, facial\nanimation, and 3D face reconstruction. Taking into account the most recent advances resulting\nfrom deep-learning techniques, the performance of methods for facial landmark extraction have\nbeen substantially improved, even on in-the-wild datasets. Thus, this article presents an updated\nsurvey on facial landmark extraction on 2D images and video, focusing on methods that make use of\ndeep-learning techniques. An analysis of many approaches comparing the performances is provided.\nIn summary, an analysis of common datasets, challenges, and future research directions are provided.
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