Iris area positioning method

Abstract

The invention discloses an iris area positioning method. The method comprises the steps of S1, face image acquisition, S2, image preprocessing, S3, projection integral calculation, S4, human eye areapositioning and S5, iris area positioning.

Description

technical field [0001] The invention belongs to the field of visual positioning and relates to an iris area positioning method. Background technique [0002] 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 based on facial video. This method is based on the driver's facial expression Assess its fatigue status; the accuracy of the method relies on the localization of the eye area. Affected by factors such as random lighting in the actual driving process, driver's body movements, blurred and dim imaging under night conditions, and invisible eye images under sunglasses, there are still many technical bottlenecks in achieving all-weather and highly robust eye area positioning . [0003] Under night working conditions, the illumination in the cab is insufficient, which weakens the boundaries between various organs in the facial image, and is...

AI Technical Summary

Problems solved by technology

Affected by factors such as random lighting in the actual driving process, driver's body movements, blurred and dim imaging under night conditions, and invisible eye images under sunglasses, there are still many technical bottlenecks in achieving all-weather and highly robust eye area positioning

[0003] Under night working conditions, the illumination in the cab is insufficient, which weakens the boundaries between various organs in the facial image, and is easily affected by ambient light, resulting in facial images such as polarized sidelights, resulting in non-structural edges (non-face physiological feature edge), which seriously affects the positioning of the driver's eye area

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