Face key point detection method and system based on local principal component analysis

The invention discloses a face key point detection method and system based on local principal component analysis. The method comprises the steps of S1, collecting a large amount of human face image sample data, and marking the face key points; S2, dividing the face key points into a plurality of local key points, adopting the principal component analysis to process the local key points, and obtaining the principal component features of the local key points; S3, calculating a combination coefficient of the key points of each face image under the principal component characteristics; S4, constructing a regression model, training the model through the combination coefficient, and generating a combination coefficient regression model; S5, inputting a to-be-detected face image into the combination coefficient regression model, and predicting to obtain a combination coefficient; and S6, restoring the face key points based on the predicted combination coefficient and the principal component features. According to the