Human face image face key point positioning method

A face image and positioning method technology, applied in the field of computer vision and image processing, can solve the problems of inaccurate and stable positioning of facial key points

Inactive Publication Date: 2015-05-06
北京畅景立达软件技术有限公司
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Problems solved by technology

[0004] The problem to be solved by the present invention is to provide a method for locating facial key points of a human f...

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  • Human face image face key point positioning method
  • Human face image face key point positioning method
  • Human face image face key point positioning method

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Embodiment Construction

[0049] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0050] Step 1: Set up face image training set

[0051] Collect a training set of Internet face images , in the training set with N An image of a human face.

[0052] Step 2: Annotate the position of facial key points for each face image in the training set

[0053] The positions of facial key points are marked for each face image in the training set. figure 1 Annotation diagram for facial key points. The marked facial key points include human face organs and facial contours. The human face organs include the eyebrow center, eye center, nose center and mouth center, and the facial contour is the lower facial contour. A total of 28 facial key points are marked. face image The upper left corner of is recorded as the coordinate origi...

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Abstract

The invention discloses a human face image face key point positioning method. The method includes the steps of marking to form a human face image training set with multiple face key points based on internet data; based on a human face detecting frame detected by a human face detector, aligning human face images, marked with the face key points, in the training set to obtain positions of the face key points of each human face image and average positions of the face key points of all the human face images after aligning; respectively learning distinguishing feature representation of each face key point and representing each face key point as a 10-dimesional feature vector; learning a regression positioning model of the face key points based on partial least squares regression; subjecting the inputted face images to be tested to human face detection and aligning, normalization, face key point position initialization and iterative regression processing to obtain final face key positions and output the final face key positions.

Description

technical field [0001] The invention belongs to the technical field of computer vision and image processing, and in particular relates to a method for locating facial key points of a human face image. Background technique [0002] Computer face recognition endows the computer system with the ability to distinguish the identity of unknown persons based on the face, so that the computer system can identify or verify the identity of the unknown person from the static or dynamic scene based on the known face sample library by using computer analysis and pattern recognition technology. One or more faces, this technology has been widely used in public security, identification and other occasions. The face recognition system includes steps such as face detection, facial key point positioning, recognition and tracking, and facial key point positioning is the key to solving these problems. The accuracy of its positioning greatly affects the accuracy of face recognition. Localization...

Claims

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Application Information

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IPC IPC(8): G06K9/66G06K9/46G06K9/00
Inventor 李军张军程东岳
Owner 北京畅景立达软件技术有限公司
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