Face feature point positioning method and device

Abstract

The invention discloses a face feature point positioning method and device, so as to solve the problems of inaccurate positioning and low speed of the face feature point positioning method. The methodcomprises steps: a to-be-detected face image is acquired; through a first convolution layer in an ith convolution module of a deep convolution neural network model, a face feature image processed andobtained by an (i-1)th convolution module is fused based on multiple groups of weights, and a first feature image is obtained; through a second convolution layer in the ith convolution module, the first feature image is fused again based on multiple groups of weights, and a second feature image is obtained; through a third convolution layer in the ith convolution module, face contour features andfive sense organ features in the first feature image are extracted to obtain a third feature image; through a fusion layer in the ith convolution module, the second feature image and the third feature image are fused; and a face feature image processed and obtained by a final convolution module of the deep convolution neural network model is used as the face feature image of the to-be-detected face image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for locating facial feature points. Background technique [0002] In the field of computer vision and pattern recognition, the positioning of facial feature points (such as eye corners, iris centers, nose points, nostrils, mouth corners, etc.) has a wide range of applications, such as face recognition, 3D reconstruction of faces, animation simulation, etc. The position of the corners of the eyes, the center of the eyes, the eyebrows, the nose, the corners of the mouth, etc. can be determined through the positioning of facial feature points. However, in an uncontrolled environment, the positioning of facial feature points is disturbed by many factors, such as illumination, posture and occlusion. etc., making facial feature point positioning still face a huge challenge. [0003] The traditional face image feature point location method is to use the pri...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a method and device for locating facial feature points, which are used to solve the problem of inaccurate positioning and slow speed in the prior art

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