Facial Landmark Localization

Facial landmark localization aims to detect a sparse set of facial fiducial points on a human face, some of which include “eye corner”, “nose tip”, and “chin center”. In the pipeline of face analysis, landmark detectors take the input of a face image and the bounding box provided by face detection, and output a set of coordinates of the predefined landmarks. It provides a fine-grained description of the face topology, such as facial features locations and face region contours, which is essential for many face analysis tasks, e.g., recognition, animation, attributes classification, and face editing. These applications usually run on lightweight devices in uncontrolled environments, requiring landmark detectors to be accurate, robust, and computationally efficient, all at the same time.