Human eye positioning method and device and human eye region positioning method and device

Abstract

The invention discloses a human eye positioning method and device which are used for solving the problem that in the prior art, human eye positioning can not be conducted on a low-resolution face image. The invention further provides a human eye region positioning method and device which are used for solving the problem that in the prior art, human eye region positioning is poor in robustness with interference from glasses and eyebrows. The human eye region positioning method comprises the steps that a left eye region and a right eye region of a face grayscale image are determined; according to horizontal grayscale integral projection, vertical grayscale integral projection, horizontal gradient integral projection and vertical gradient integral projection of the obtained left eye region, the position of the center of a left eyeball in the left eye region is determined; according to horizontal grayscale integral projection, vertical grayscale integral projection, horizontal gradient integral projection and vertical gradient integral projection of the obtained right eye region, the position of the center of a right eyeball in the right eye region is determined.

Description

technical field [0001] The invention relates to the fields of digital image processing and pattern recognition, in particular to a method and device for human eye positioning and human eye area positioning. Background technique [0002] Face detection and facial landmark localization is one of the most challenging research topics in the field of computer vision. The location information of facial features can be used in face detection to locate faces and verify face detection results, and can also be used in face recognition to align faces, or as one of the basis for recognition. As the most prominent feature of human face, human eye can provide more reliable information compared with mouth and nose. Therefore, human eye detection and pupil location are important components in the field of face recognition. [0003] It is a complex process to detect the position of the human eye from the face image and precisely locate the pupil (that is, the center of the eyeball). Due to...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a method and device for locating human eyes, which are used to solve the problem in the prior art that human eyes cannot be located in low-resolution face images

The present invention also provides a method and device for locating the human eye region, which is used to solve the problem in the prior art that the robustness of locating the human eye region is poor under the interference of glasses and eyebrows

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