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Face alignment method based on average face-Platts transform

A face alignment and averaging technology, applied in the field of face image alignment based on average face-Platts analysis, can solve the problems of difficult algorithm design, low accuracy, and different shooting angles, and achieve good adaptability, Accuracy improvement and strong migration ability

Inactive Publication Date: 2019-05-03
CHINA CHANGFENG SCI TECH IND GROUPCORP
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AI Technical Summary

Problems solved by technology

Because the images collected by cameras and cameras have the characteristics of different shooting angles and different head movements of the photographed targets, the algorithm design of face verification and face recognition is difficult and the accuracy rate is low.

Method used

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  • Face alignment method based on average face-Platts transform
  • Face alignment method based on average face-Platts transform

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Embodiment Construction

[0011] The present invention specifically comprises the following steps:

[0012] Step 1. Use the multi-task cascaded convolutional neural network to perform face detection on the original input video image and artificially photographed image, locate the area where the face is located, cut and zoom, and then obtain the eyes and mouth corners in the cut image of the same size The coordinates of five key points with the nose;

[0013] Step 2, average the five feature points in all clipped pictures respectively, and calculate the average face model;

[0014] Step 3: Perform affine transformation (Platts transformation) on the image to be aligned with the average face model obtained in step 2 as a standard, to obtain an aligned image. Let the matrix composed of five feature points of the image to be aligned be A(A∈R 5*2 ), the standard image is B (B∈R 5*2 ), the specific steps are:

[0015] Calculate the center positions (mean values) of the five feature points of the image to...

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Abstract

The invention relates to an average face-based method. The face alignment method based on Platts transform comprises the following steps: carrying out face detection on an original input video image and an artificially photographed image by utilizing a multi-task cascade convolutional neural network, cutting and scaling an area where a positioned face is located, and further obtaining five key point coordinates of eyes, two mouth angles and a nose in a cut image with the same size; averaging the five feature points in all the cut pictures respectively, and calculating to obtain an average facemodel; carrying out Platts transformation on the to-be-aligned face image by taking the average face as a reference to obtain an aligned image; and identifying and verifying the aligned face image.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to a face recognition method, in particular to a face image alignment method based on average face-Platts analysis (Procrustes analysis). Background technique [0002] Face verification and face recognition are research hotspots in the field of computer vision, and have a large number of application requirements in security, finance and other fields. The main idea of ​​face recognition is to locate the face by locating a series of feature points of the collected face image, and then convert the collected face into a standard face image through mathematical methods, and then exchange To verify and identify algorithms to judge. Because the images collected by cameras and cameras have the characteristics of different shooting angles and different head movements of the photographed targets, the algorithm design of face verification and face recognition is difficult and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/08
Inventor 武玉亭张晓林范宇单鼎一刘惟锦
Owner CHINA CHANGFENG SCI TECH IND GROUPCORP
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