CN113780034A - Eye focus tracking method based on iris recognition - Google Patents
Eye focus tracking method based on iris recognition Download PDFInfo
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Abstract
The invention discloses an eye focus tracking method based on iris recognition, which is characterized by comprising the following steps: acquiring a face image of a user; carrying out face detection according to the face image and acquiring face position information; carrying out primary focusing on the eyes of the user according to the face position information; acquiring an eye image of a user, and carrying out focusing evaluation on an iris area in the eye image; and carrying out final focusing according to the focusing evaluation result.
Description
Technical Field
The invention relates to the technical field of biological recognition, in particular to an eye focus tracking method based on iris recognition.
Background
The rapid development of society and science and technology makes safety the most important problem in all industries at the present stage. Biological identification is gradually replacing the traditional identity authentication method and is applied to various industries due to the advantages of being difficult to forget, counterfeit or stolen, carry and the like. Iris recognition is one of the biometric technologies, and its characteristics such as high uniqueness, stability and inflexibility make it the most convenient and accurate biometric technology.
Because the iris has higher requirement on image quality, when the iris is collected, the collected clear and high-quality iris image is crucial to iris registration and iris identification, and the iris camera is used as a tool for collecting the iris image, the focusing capacity of the iris camera influences the definition of the iris image, so that accurate focusing becomes a problem to be solved urgently for collecting the high-quality iris image.
In addition, along with the rapid development of the technology, the shooting function of the mobile device is also rapidly improved, the shooting demand of people on the mobile device is also increased, the eyes are used as important parts of the face image, and when a user carries out self-shooting, the realization of automatic focusing on the eyes of the user is very important for the self-shooting quality.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an eye focus tracking method based on iris recognition, which realizes the focus of the eye when a high-quality iris image is acquired.
In order to achieve the technical effect, the invention discloses an eye focus tracking method based on iris recognition, which comprises the following steps:
acquiring a face image of a user;
carrying out face detection according to the face image and acquiring face position information;
carrying out primary focusing on the eyes of the user according to the face position information;
acquiring an eye image of a user, and carrying out focusing evaluation on an iris area in the eye image;
and carrying out final focusing according to the focusing evaluation result.
The invention discloses an improvement of an eye focus tracking algorithm based on iris recognition, which is characterized in that the eye focus tracking algorithm based on iris recognition is used for detecting a human face according to a human face image and acquiring human face position information, and comprises the following steps:
and detecting a face in the obtained face image, and detecting the position of a key point of the face.
The invention further improves an eye focus tracking algorithm based on iris recognition, which is used for carrying out primary focusing on the eyes of a user according to the face position information and comprises the following steps:
and adjusting the camera to align the eye position of the user according to the acquired face position information to carry out primary focusing.
The eye focus tracking algorithm based on iris recognition of the present invention is further improved in that the focus assessment comprises a first focus assessment and a second focus assessment, which are a focus assessment of the left-eye iris and a focus assessment of the right-eye iris, respectively.
The eye focus tracking algorithm based on iris recognition is further improved in that final focusing is performed according to the result of the focus evaluation, and the method comprises the following steps:
based on the results of the focus evaluations, a final focus is performed at a position where the average of the first focus evaluation and the second focus evaluation is maximum.
The eye focus tracking algorithm based on iris recognition of the present invention is further improved in that the focus assessment is determined by high frequency components.
The eye focus tracking algorithm based on iris recognition firstly acquires a face image, carries out face detection and face key point detection on the image, and drives a camera to carry out primary focus on the eye according to the position information of the detected face key point. And acquiring an eye image near the initial focusing position, performing focusing evaluation analysis on an iris region in the eye image, and considering the position as a final focusing position when the average value of the first focusing evaluation of the iris of the left eye and the second focusing evaluation of the iris of the right eye is maximum.
Detailed Description
The present invention will be described in further detail with reference to specific embodiments.
The invention discloses an eye focus tracking method based on iris recognition, which is used for tracking the focus of the eye of a user and comprises the following steps:
step 110: acquiring a face image of a user;
step 120: carrying out face detection according to the face image and acquiring face position information;
step 130: carrying out primary focusing on the eyes of the user according to the face position information;
step 140: acquiring an eye image of a user, and carrying out focusing evaluation on an iris area in the eye image;
step 150: and carrying out final focusing according to the focusing evaluation result.
In step 110, a face image of the user, such as an RGB camera, may be obtained through the face camera, and the face camera may obtain the face image of the user in real time.
After the step 110 is executed, step 120 is executed, a face is detected in the face image according to the face image obtained in the step 110, and the position of the face key point is detected, where the position of the face key point is the position information of the face. In this embodiment, the face key points are detected by the sample face.
After the step 120 is executed, a step 130 is executed to perform primary focusing on the eyes of the user according to the face position information. In step 120, the positions of key points of the face in the face image of the user have been determined, where the key points of the face include eyes, mouth, nose, eyebrows, etc., so that the positions of the eyes in the face image can be known, and the iris camera is driven to align with the positions of the eyes of the user according to the position information of the eyes to perform initial focusing. Because the face key point detection is obtained based on the sample face, the position information of the face key points has certain errors and is not accurate enough, and therefore focusing is required to be carried out again.
Step 140 is executed, the iris camera acquires the eye image of the user in real time, in this embodiment, the iris camera moves near the initial focusing position to acquire the eye image of the user in real time, and because the whole eye image has interference factors such as eyelashes and eyebrows, preferably, after the iris segmentation is performed on the eye image, the focus evaluation is performed on the iris region in the eye image. The focus estimates comprise a first focus estimate and a second focus estimate, the first focus estimate and the second focus estimate being a focus estimate of the left iris and a focus estimate of the right iris, respectively, as analyzed by a focus estimate function, the focus estimates being determined by the high frequency components. And when the average value of the first focusing evaluation and the second focusing evaluation is the maximum, the position is considered as a focusing position, and the iris camera carries out final focusing at the position.
The invention relates to an eye focus tracking method based on iris recognition, which is characterized in that the eye is primarily focused based on the key point position information detected in a face image, the focusing position of the eye is preliminarily determined, the iris is focused and evaluated to obtain the average value of the focusing evaluation of the left-eye iris and the right-eye iris, when the average value is the maximum value, the left eye and the right eye are clear, and the final focusing is carried out at the position.
Because iris collection needs black and white images, and autodyne is usually a color image, so the iris camera is arranged independently in the embodiment, and the collection of the face image only needs a conventional autodyne camera. And after the final focusing position is determined, adjusting the self-photographing camera to carry out eye final focusing according to the final focusing information of the iris camera.
The present invention has been described in detail with reference to the above embodiments, and various modifications thereof can be made by those skilled in the art based on the above description. Therefore, certain details of the embodiments are not to be interpreted as limiting, and the scope of the invention is to be determined by the appended claims.
Claims (6)
1. An eye focus tracking method based on iris recognition, the method comprising:
acquiring a face image of a user;
carrying out face detection according to the face image and acquiring face position information;
carrying out primary focusing on the eyes of the user according to the face position information;
acquiring an eye image of a user, and carrying out focusing evaluation on an iris area in the eye image;
and carrying out final focusing according to the focusing evaluation result.
2. The iris recognition-based eye focus tracking algorithm of claim 1, wherein the face detection and the face position information acquisition according to the face image comprise:
and detecting a face in the obtained face image, and detecting the position of a key point of the face.
3. The iris recognition-based eye focus tracking algorithm of claim 1, wherein the initial focusing of the user's eyes according to the face position information comprises:
and adjusting the camera to align the eye position of the user according to the acquired face position information to carry out primary focusing.
4. The iris recognition based eye focus tracking algorithm of claim 1, wherein the focus assessment comprises a first focus assessment and a second focus assessment, the first focus assessment and the second focus assessment being a focus assessment of a left eye iris and a focus assessment of a right eye iris, respectively.
5. The iris recognition based eye focus tracking algorithm of claim 4, wherein the final focusing according to the result of the focus evaluation comprises:
based on the results of the focus evaluations, a final focus is performed at a position where the average of the first focus evaluation and the second focus evaluation is maximum.
6. The iris recognition-based eye focus tracking method according to claim 1, wherein: the focus assessment is determined by the high frequency components.
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Application publication date: 20211210 |