Patent ID: 10929649

Abstract:
A multi-pose face feature point detection method based on cascade regression comprises: extracting a pose index features and establishing corresponding optimal weak regressors; performing corresponding initialization according to different face pose orientations; using an SIFT feature of a face image as an input feature for face orientation estimation; acquiring an orientation of an input face image according to a random forest face orientation decision tree; using a feature point mean value of a face training sample under the orientation as an initial value of the input face image feature point; and extracting the pose index feature of the face image and inputting the pose index feature into the optimal weak regressor to acquire a distribution residual to update the current feature point distribution, and complete the face feature point detection. The method can achieve a stable face feature point detection effect, and is suitable for various intelligent systems such as a face detection and recognition system, a human-computer interaction system, an expression recognition system, a driver fatigue detection system, and a gaze tracking system.