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Method for positioning human eyes in human face image

A technology of human eye positioning and face image, which can be used in instruments, character and pattern recognition, computer parts, etc., and can solve problems such as difficulty in effective positioning

Inactive Publication Date: 2013-03-13
TIANJIN POLYTECHNIC UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing gray-scale integral projection method is to project the human face in both horizontal and vertical directions, and locate the human eyes according to the distribution information of the peaks and valleys. There are stricter requirements. When the face plane rotates and the human eyes have a certain inclination angle, it is difficult to effectively locate according to the distribution of peaks and valleys.

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  • Method for positioning human eyes in human face image
  • Method for positioning human eyes in human face image
  • Method for positioning human eyes in human face image

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Embodiment Construction

[0012] The present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings.

[0013] figure 1 (a) shows the face region. Since there will always be some isolated noise in face images obtained under natural conditions, in order to eliminate the influence of noise on human eye positioning, the median filter method can be used to remove the influence of noise. In the present invention, a 3×3 median filtering method is used to filter the original image. For the filtered image, the Otsu method (the method of maximum variance between classes) is used to determine the threshold value for binarization. The binarized image is as figure 1 (b) shown.

[0014] The polar coordinates are established by taking the center of the face as the pole, taking the horizontal ray to the left of the pole as the polar axis, and taking the counterclockwise direction as the positive direction of the angle.

[0015] For the binarized image, wi...

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Abstract

The invention belongs to the machine vision and image processing field and specifically relates to a method for positioning human eyes in a human face image, wherein a polar-coordinate gray-level integral projection method is employed to perform human eye positioning. Polar coordinates are established with the central position of the human face as the pole, the horizontally leftward ray of the pole as the pole axis and the anti-clockwise direction as the positive direction of the angle. The gray level of the image is projected in the direction of the polar angle so as to determine the angles of the eyes; then, the pixels in the direction of the eyes are subjected to gray-level integral projection in the horizontal direction and the position of the minimal projection value is the projection position of the human eyes; therefore, the coordinate positions of the human eyes are determined and the human eye detection requirement of the inclined human face image is satisfied. The method for positioning the human eyes in the human face image can be applied to the human eye identification field.

Description

technical field [0001] The invention belongs to the field of machine vision and image processing, and relates to a human eye positioning method in a human face image, in particular to a method for realizing human eye positioning by integral projection under polar coordinates. Background technique [0002] Human eye positioning mainly studies how to detect and locate human eyes in a given face image. It has always been a hot research issue in the field of machine vision and image processing, and it is also the key to research on driver fatigue monitoring, eyeball mouse, and line of sight tracking. One of the technical issues. At present, there are many relatively mature algorithms in human eye positioning, such as edge feature extraction method, detection method based on Hough transform, template matching method, geometric feature method, detection method based on AdaBoost classifier, gray integral projection method, etc. . Although these methods are relatively mature, each...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32
Inventor 修春波
Owner TIANJIN POLYTECHNIC UNIV
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