Intelligent eyelid detection method and system

A detection method and eyelid technology, applied in the field of image processing, can solve problems such as time-consuming, influence of iris center positioning, and long algorithm detection time

Pending Publication Date: 2022-04-15
XIANGYA HOSPITAL CENT SOUTH UNIV
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Problems solved by technology

[0011] However, the above algorithm takes a long time to detect. For example, Adam's algorithm needs 300 milliseconds to detect an eye diagram, which has low detection efficienc

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  • Intelligent eyelid detection method and system
  • Intelligent eyelid detection method and system

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Embodiment Construction

[0065] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0066] The present invention adopts more stable eye movement characteristics under head movement, adopts a system architecture with a single camera without light source, and uses a 2D line of sight tracking method based on an artificial neural network to achieve better accuracy. The present invention uses a neural network to map eyelid images and gaze points, and improves and optimizes feature vectors, so that the system does not need to use multiple cameras and infrared light sources, and does not need to calibrate the cameras, which reduces the hardware requirements of the system and reduces hardware costs and enhances th...

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Abstract

The invention belongs to the technical field of eyelid image processing, and discloses an intelligent eyelid detection system and method.The method comprises the steps that firstly, an eyelid positioning algorithm is used for positioning the position of an eyelid, an eyelid feature point detection method is used for positioning the position of a canthus point, and the position of the eyelid is calculated through the canthus point; the method comprises the following steps: establishing an iris template, then detecting the position of an eye region by using the iris template, positioning the position of an iris center through an iris center fine positioning algorithm, and finally, taking the detected canthus point and the iris center as eye motion vectors; a neural network model is used, the eye motion vector is used as input of a neural network, and a fixation point mapping relation is established. According to the invention, a good effect is achieved, more stable eye movement characteristics under head movement are selected, a single-camera light-source-free system architecture is adopted, and a 2D sight tracking method based on an artificial neural network is used, so that better precision is achieved; the hardware requirement of the system is reduced, the hardware cost is reduced, and the availability of the system is enhanced.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an intelligent eyelid detection method and system. Background technique [0002] The human eye structure is composed of sclera, iris, pupil, lens, retina and other parts. The iris is a ring-shaped part located between the black pupil and the white sclera. It is mainly composed of connective tissue, including many filaments, crowns, stripes, hidden Details of nests, etc. Moreover, after the iris is formed in the fetal development stage, it remains unchanged throughout the life course. These characteristics determine the uniqueness of iris characteristics and also determine the uniqueness of identification. [0003] At present, the new crown epidemic is raging around the world, and the unique characteristic of iris makes iris recognition technology widely used. Iris recognition is the most accurate and efficient biometric technology, and it is also considered...

Claims

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Application Information

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IPC IPC(8): G06V40/18G06V40/16G06V10/46G06V10/44G06V10/75G06K9/62G06N3/04
Inventor 徐懿
Owner XIANGYA HOSPITAL CENT SOUTH UNIV
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