Machine vision-based multi-scene iris region localization method

A technology of area positioning and machine vision, applied in the field of visual positioning, can solve problems such as blurred and dim imaging, failure of eye area positioning, and invisible effects of eye images, and achieve the effect of overcoming imaging differences

Inactive Publication Date: 2018-06-29
GUANGDONG POLYTECHNIC NORMAL UNIV
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  • Abstract
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art, especially to solve the problem of random illumination in the actual driving process, driver's body movements, blurred and dim

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  • Machine vision-based multi-scene iris region localization method
  • Machine vision-based multi-scene iris region localization method
  • Machine vision-based multi-scene iris region localization method

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Embodiment Construction

[0014] The present invention will be described in more detail and complete below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0015] refer to figure 1 , a machine vision-based multi-scene iris region positioning method according to an embodiment of the present invention, the method comprising:

[0016] S1 facial image acquisition. A CCD camera is used to collect the facial image of the driver, and the camera is installed near the dashboard of the vehicle. According to different vehicles, the focal lengths of the cameras are 8mm (passenger car) and 12mm (commercial vehicle). In this embodiment, a camera with a focal length of 8mm is used to collect face images.

[0017] refer to figure 2 , in order to overcome the problem of low light and side light under night working conditions, and avoid...

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Abstract

The invention discloses a machine vision-based multi-scene iris region localization method. The method comprises the following steps of: S1, facial image acquisition, S2, facial region determination;S3, eye region localization; and S4, iris region localization. According to the method of the present invention, an eye region guiding feature point localization algorithm is adopted to realize the localization of eye region feature points; in an eye region image where eye locations are determined, the physiological structural features of irises are adopted to locate the center locations of the irises; and therefore, the imaging difference of the eye image under different illumination conditions can be avoided.

Description

technical field [0001] The invention belongs to the field of visual positioning, and relates to a multi-scene iris area positioning method based on machine vision. Background technique [0002] Fatigue driving refers to that due to the monotony of the driving environment or long-term, super-intensive driving, the driver’s physical and psychological functions decline due to excessive energy consumption, resulting in a decline in response level and control efficiency, which in turn leads to a reduction in driving skills and affects Phenomenon of normal driving. When the driver is fatigued, his ability to perceive the traffic environment, his ability to judge danger, and his ability to control the vehicle all decline to varying degrees, which can easily lead to traffic accidents. [0003] The mainstream detection method for fatigue driving is to evaluate the driver's mental state with the driver's participation. The most commonly used method is the fatigue detection method bas...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/165G06V40/171G06V40/193
Inventor 梁鹏郝刚林智勇
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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