Landmark localisation for facial images using classifiers

摘要

A process and system for facial landmark detection of a face in a scene of an image includes determining face dimensions from the image, identifying regions of search for one or more facial landmarks using the face dimensions, and running a cascaded classifier and a strong classifier tailored to detect different types of facial landmarks to determine one or more respective locations of the facial landmarks. According to an embodiment, the facial landmarks are used for face mining or face recognition, and the cascaded classifier is performed using a multi-staged AdaBoost classifier, where detections from multiple stages are utilized to enable the best location of the landmark. According to another example embodiment, the strong classifier is a support vector machine (SVM) classifier with input features processed by a principal component analysis (PCA) of the landmark sub-image.