CN110096936B - Method for evaluating apparent age of eyes and aging degree of eyes and application thereof - Google Patents
Method for evaluating apparent age of eyes and aging degree of eyes and application thereof Download PDFInfo
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Abstract
The invention disclosesA method for evaluating the apparent age of eyes and the aging degree of eyes and its application are disclosed. The method comprises the following steps: (1) capturing photographs of the faces of a plurality of interviewees; (2) Length calibration and analysis of the image of the acquired photograph to obtain x 2 And x 3 Value, or x 3 And x 4 Value, or x 2 、x 3 And x 4 Value, or x 1 、x 2 、x 3 And x 4 A value; wherein x is 1 The linear distance from the inner canthus point to the outer canthus point; x is the number of 2 Is the length of the lower margin of the upper eyelid; x is the number of 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connection line of the inner canthus and the outer canthus; x is the number of 4 The included angle between the connection line of the inner and outer canthus and the central line of the face is measured; (3) According to the actual age y' and the obtained x of the interviewee 1 、x 2 、x 3 And/or x 4 Carrying out regression model analysis on the values; (4) Calculating the eye apparent age y of the subject according to the obtained regression equation. The method can quantitatively evaluate the apparent age and the aging degree of eyes of people in various regions, particularly Asians, and has good reliability.
Description
Technical Field
The invention relates to a method for evaluating the apparent age of eyes and the aging degree of eyes and application thereof.
Background
The soft tissue and the concave-convex bone support the skin structure, so that the eye skin presents a specific contour. With age, the tissues supporting the skin become weaker, and under the action of gravity, the soft tissues of the eyes sag, and aging characteristics of the eyes such as pouches and inclination of the eyes appear. The eyelids of asians have more subcutaneous fat and infraorbicularis oculi fat than the western eyelids, and the influence of gravity on the eyes may be more severe. Ocular aging can be characterized by loss of elasticity, thinning of the skin, periocular wrinkles, canthus drooping, pouches, eye length, eyelid tilt, eyelid length, and eye tilt, among others.
Currently, there are a variety of cosmetics for resisting eye aging on the market, but how to evaluate the apparent age of the eye and how to evaluate the improvement of the apparent age of the eye by cosmetics? Clinically, evaluators with relevant experience are generally requested to evaluate the visual age of the eye photos, but the objectivity of evaluation of the evaluators is greatly influenced by the evaluation level of individuals, and the results of evaluation of different evaluators are not consistent or close to each other.
Patent CN 107315987 discloses a method for evaluating the apparent age of the face, the degree of aging of the face, and its application, but ocular aging is the earliest manifestation of aging of the face (Yang Wenhua, qin Yi, zhang Weiping. Application of cutting and raising eyebrows in combination with under-eyelid pouch reconstruction to improve periocular aging is appreciated chinese cosmetology, 2010, 11 (11): 1617-1618), the eye exerts a great influence on the overall impression, researchers try to evaluate the ocular apparent age using the "facial youth curve" disclosed in patent CN 107315987, although the "facial youth curve" includes the feature of the eyelid-cheek intersection point (the intersection of the midline and the eyelid groin the midline) below the midline, but lacks other ocular aging features, and the "facial youth curve" evaluates the lower region in the face (the region below the fissure) and cannot accurately evaluate the apparent age of the whole ocular region. Therefore, it is very important to develop a method for quantitatively evaluating the apparent ages of eyes in various regions.
Disclosure of Invention
The invention provides a method for evaluating the apparent age of eyes and the aging degree of eyes and application thereof, aiming at overcoming the defects that the prior art does not have a method for objectively and quantitatively evaluating the state of eyes, and the prior method for evaluating the apparent age of the face and the method for subjectively evaluating the state of the eyes are large in error and poor in reproducibility when being used for evaluating the apparent age of the eyes.
The invention provides a method for quantitatively evaluating the apparent age of eyes and the aging degree of the eyes, and defines an eye youth curve observed from the front. The eye youth curve has clear starting point and clear research site, is suitable for evaluating the eye apparent age of people in various regions, particularly Asians, and has important guiding function for reasonably selecting the eye cleaning and nursing product and improving the eye skin.
The present invention provides a method of assessing the apparent age of the eye (hereinafter method I) comprising the steps of:
(1) The method comprises the steps of collecting facial photos of a plurality of interviewees, wherein the collected angle is that the nose bridge of the face of the interviewee is taken as a center line, and an angle of 0-45 degrees is formed between the collected angle and a vertical plane where the center line is located;
(2) Length calibration is carried out on the image of the collected photo, and then the image is analyzed to obtain x 2 And x 3 A value of (d);
said x 2 Is the length of the lower margin of the upper eyelid in cm;
x is said 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner canthus and the outer canthus is expressed in cm;
(3) According to the actual age y' and the obtained x of a plurality of visitors 2 、x 3 Value of (a), for y' and x 2 And x 3 Performing regression model analysis to obtain a regression equation I: y' = b + a 2 x 2 +a 3 x 3 ；
(4) Measuring x of an evaluated object 2 And x 3 According to the regression equation I, calculating the eye apparent age y of the subject, y = b + a 2 x 2 +a 3 x 3 。
The present invention also provides a method of assessing the apparent age of the eye (hereinafter method II) comprising the steps of:
(1) The method comprises the steps of collecting facial photos of a plurality of interviewees, wherein the collected angle is that the nose bridge of the face of the interviewee is taken as a center line, and an angle of 0-45 degrees is formed between the collected angle and a vertical plane where the center line is located;
(2) Length calibration is carried out on the image of the collected photo, and then the image is analyzed to obtain x 3 And x 4 A value of (d);
x is said 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner canthus and the outer canthus is expressed in cm;
x is said 4 The included angle between the connecting line of the inner and outer canthus and the central line of the face is degree in unit degrees;
wherein, the midline of the surface is a connecting line of the midpoints of the eyebrows, the nose tip, the human middle and the labial bulbus;
(3) According to the actual age y' and the obtained x of a plurality of visitors 3 And x 4 Value of (a), for y' and x 3 And x 4 Performing regression model analysis to obtain a regression equation II: y' = b + a 3 x 3 +a 4 x 4 ；
(4) Measuring x of an evaluated person 3 And x 4 According to the regression equation II, the eye apparent age y of the evaluated subject is calculated, y = b + a 3 x 3 +a 4 x 4 。
The present invention also provides a method of assessing the apparent age of the eye (hereinafter method III) comprising the steps of:
(1) The method comprises the following steps of collecting facial pictures of a plurality of interviewees, wherein the collected angle is that the nose bridge of the face of the interviewee is taken as a center line and forms an angle of 0-45 degrees with a vertical plane where the center line is located;
(2) Length calibration is carried out on the image of the collected photo, and then the image is analyzed to obtain x 2 、x 3 And x 4 A value of (d);
x is said 2 Is the length of the lower margin of the upper eyelid in cm;
said x 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner canthus and the outer canthus is expressed in cm;
said x 4 The included angle between the connection line of the inner and outer canthus and the central line of the face is degree in unit degree;
wherein, the midline of the surface is a connecting line of the midpoints of the eyebrows, the nose tip, the human middle and the labial bulbus;
(3) According to the actual age y' and the obtained x of a plurality of visitors 2 、x 3 And x 4 Value of (a), for y' and x 2 、x 3 And x 4 Performing regression model analysis to obtain a regression equation III: y' = b + a 2 x 2 +a 3 x 3 +a 4 x 4 ；
(4) Measuring x of an evaluated person 2 、x 3 And x 4 According to said regression equation III, calculatingThe apparent eye age y, y = b + a of the subject 2 x 2 +a 3 x 3 +a 4 x 4 。
The present invention also provides a method of assessing the apparent age of the eye (hereinafter method IV) comprising the steps of:
(1) The method comprises the steps of collecting facial photos of a plurality of interviewees, wherein the collected angle is that the nose bridge of the face of the interviewee is taken as a center line, and an angle of 0-45 degrees is formed between the collected angle and a vertical plane where the center line is located;
(2) Length calibration is carried out on the image of the collected photo, and then the image is analyzed to obtain x 1 、x 2 、x 3 And x 4 A value;
said x 1 The linear distance from the inner canthus point to the outer canthus point is in cm;
said x 2 Is the length of the lower margin of the upper eyelid in cm;
said x 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner canthus and the outer canthus is expressed in cm;
said x 4 The included angle between the connection line of the inner and outer canthus and the central line of the face is degree in unit degree;
wherein, the midline of the surface is a connecting line of the midpoints of the eyebrows, the nose tip, the human middle and the labial bulbus;
(3) According to the actual age y' and the obtained x of a plurality of visitors 1 、x 2 、x 3 And x 4 Value of (a), for y' and x 1 、x 2 、x 3 And x 4 Performing regression model analysis to obtain a regression equation IV: y' = b + a 1 x 1 +a 2 x 2 +a 3 x 3 +a 4 x 4 ；
(4) Measuring x of an evaluated person 1 、x 2 、x 3 And x 4 Calculating the apparent eye age y, y = b + a of the subject according to the regression equation IV 1 x 1 +a 2 x 2 +a 3 x 3 +a 4 x 4 。
In step (1) of the methods I to IV, the facial photograph acquisition device may be a facial photograph acquisition device conventionally used in the art, such as a single lens reflex, a card machine, etc., as long as it can clearly acquire facial features of the face of the interviewee. In order to acquire clear face photos, a person skilled in the art can conventionally select a flash lamp or a constant light source according to actual conditions. The person skilled in the art knows that in the same series of human face and eye research processes, the same acquisition equipment or the same acquisition mode is adopted to acquire the photos of the human face at the same angle (with the nose bridge as the center line and in the range of 0-45 degrees from the vertical plane where the center line is located).
Preferably, the facial photograph collection apparatus is a Visia-CR facial image analyzer available from Canfield Scientific, inc. of USA. The Visia-CR facial image analyzer preferably uses a parallel-polarization mode when taking a frontal picture of the face of the interviewee to better characterize the face of the person.
In step (1) of the methods I to IV, when the facial positive photograph is acquired, the relationship between the pixel and the length of the photograph is preferably corrected by using a scale built in the apparatus.
In the step (1) of the methods I to IV, the number of samples of the interviewee can be selected by those skilled in the art according to the number of samples analyzed by a conventional regression model establishment, generally 4 or more, preferably 24 or more, so as to meet the clinical requirement for normal distribution of the interviewee.
In the step (1) of the methods I to IV, the interviewee may be a person in any region of the world as long as the face of the interviewee has no disease or scar, has not undergone facial or eye surgery, or is not excessively obese, preferably a person in the same region, the same race, the same sex, more preferably a woman of the yellow race in asia, most preferably a woman of the yellow race in china. The person skilled in the art knows from the common general knowledge and the actual disclosure that the person to be evaluated in step (4) and the person to be visited in step (1) belong to the same region, the same race and the same gender, but they may be different individuals. Wherein, the region can be set as a current country division according to the general upper limit of the field, and the country is taken as a unit; the races are known to those skilled in the art to mean the four major races that divide modern mankind worldwide in an essentially meaningful way (i.e. on the basis of constitutional features) generally from a biological point of view: the species of Europa (also known as white or Caucasian or Eurasian), mongolian (also known as yellow or sub-American), niger Luo Renchong (also known as black or equatorial) and Australian (also known as oceania or brown), colloquially white, yellow, black and brown; the gender includes male and female.
In step (2) of the methods I to IV, the length calibration may be performed by using image analysis software, which may be image analysis software conventionally used in the art, as long as the image analysis software has a function of calibrating the length of an image and a function of calculating an included angle between lines. Preferably, the Image analysis software is Image-Pro Plus 7.0 Image analysis software available from Media Cybernetics, inc. of the United states.
In step (3) of the methods I to IV, the regression model analysis method is a model analysis method conventionally used in the art to determine the variation relationship between the dependent variable and the independent variable. Those skilled in the art know how to derive the dependent variable y' and the independent variable x according to the present invention 1 、x 2 、x 3 And/or x 4 And establishing a regression model.
In step (3) of the methods I to IV, the method for establishing the regression equation is a conventional method in the art, and those skilled in the art know how to calculate and obtain the regression equation, and know that the coefficients and intercept constants before the respective variables in the finally obtained regression equation can be within a reasonable error range of the regression model analysis. Preferably, the regression equation can be obtained using SPSS Statistics 20.0 data analysis software.
In step (3) of the methods I to IV, a step of performing a test on each of the established regression models may be further included, and the test may be performed according to a method conventional in the art, such as a judgment coefficient test (R test), a regression equation significance test (F test), and a regression coefficient significance test (t test).
In the step (4) of the methods I to IV, in the calculation formula of the eye apparent ages, the coefficients and intercept constants before the respective variables are different according to factors such as the number of collected people, the region, the race, the sex, and the like, but those skilled in the art know that the same population, i.e., people in the same region, the same race, and the same sex, should be selected in the process of researching the eyes with the same series of faces, and those skilled in the art know that the coefficients and intercept constants before the independent variables in the calculation formula of the eye apparent ages of the people can be clearly determined according to the method described in the present invention for different populations.
In the method I, when the interviewee is female in China, the eye apparent age of the interviewee can be according to the equation y = -13.14+1.17x 2 +28.16x 3 The calculation results where the coefficients and intercept constants before the respective variables in the equation can be within reasonable error of the regression model analysis, e.g., within ± 30%.
In the method II, when the interviewee is female in China, the eye apparent age of the interviewee can be according to the equation y = -55.35+27.05x 3 +0.52x 4 The calculation results where the coefficients and intercept constants before the respective variables in the equation can be within reasonable error of the regression model analysis, e.g., within ± 30%.
In the method III, when the interviewee is female in China, the eye apparent age of the interviewee can be 1.57x + 59.75+ according to the equation y = 2 +26.77x 3 +0.53x 4 The calculation results where the coefficients and intercept constants before the respective variables in the equation can be within reasonable error of the regression model analysis, e.g., within ± 30%.
In the method IV, when the subject is female in China, the apparent age of the eye of the subject can be according to the equation y = -59.95-15.34x 1 +15.87x 2 +27.07x 3 +0.55x 4 Calculated, wherein the coefficients and intercept constants before the respective variables in the equation can be set backWithin reasonable error of modeling analysis, e.g., within ± 30%.
In the present invention, the inner canthus, the outer canthus, the upper eyelid, the eyelid-cheek groove, the glabella, the nose tip, the human middle and the labial bead are terms of art, and those skilled in the art know that the specific sites of the above parts are determined biologically, and the eye puberty curve of the present invention can be clearly determined according to the above description of the present invention.
In the present invention, x is 1 、x 2 And x 3 Distance and x of the representation 4 The angle of representation can be clearly determined by a person skilled in the art from the description of the invention and the common general knowledge, where x 1 、x 2 、x 3 And x 4 See also the schematic of fig. 2.
In the present invention, for convenience of reference, a curve formed by connecting curves surrounded by the inner canthus point, line 1, outer canthus point and line 2 is defined as the adolescence curve of the eye. Wherein, the line 1 is a line connected from the inner canthus point to the outer canthus point along the upper eyelid lower margin, or a straight line connected from the inner canthus point to the outer canthus point; line 2 is a line drawn from the outer canthal point down the palpebral sulcus to the inner canthal point. The eye youth curve can be seen as an example in fig. 3.
The invention also provides a method for evaluating the aging degree of eyes, which comprises the following steps:
(1) Evaluating a sample population by using the method I, the method II, the method III or the method IV for evaluating the apparent age of the eyes, wherein the sample population contains a plurality of evaluated persons, and obtaining the apparent age of each evaluated person;
(2) Carrying out pairing t test on the apparent age and the actual age of a certain evaluated person to obtain a p value of significance analysis, and if p is less than 0.05, judging that the eye apparent age and the actual age have significance difference; and if the p is more than or equal to 0.05, judging that the eye apparent age of the evaluated person has no significant difference from the actual age.
In step (2), the paired t-test may be performed according to a conventional method in the art, and preferably may be performed using SPSS Statistics 20.0 data analysis software provided by IBM corporation of america.
The invention also provides the application of the method for evaluating the apparent age of the eyes and the method for evaluating the aging degree of the eyes in evaluating the efficacy of cosmetics and/or nursing means on the skin of the eyes.
Among them, the cosmetic may be a cosmetic for eye care that is conventional in the art, such as an eye cream, a face cream that can be used for eyes, or an eye patch.
Wherein the treatment means may be conventional in the art, such as eye massaging.
The evaluation of the cosmetic or care means on the eye skin can be carried out according to methods and conditions conventional in the art.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The reagents and starting materials used in the present invention are commercially available.
The positive progress effects of the invention are as follows:
(1) The research site of the eye puberty curve is clear, the eye puberty curve is suitable for evaluating the eye aging state of people in various regions, particularly Asian women, and the aging characteristics of eyes which can be used for evaluating the apparent age are found to comprise: pouch (lower eyelid area), inclination of eye (eye area), ptosis (upper eyelid area), see fig. 1.
(2) The method for evaluating the apparent age of the eyes has universality, objective evaluation and good reproducibility.
(3) The method for evaluating the apparent age of the eyes has an important guiding function for evaluating the effect of the cosmetics on improving the eye skin test.
Drawings
FIG. 1 is a schematic representation of ocular aging characteristics that can be used to assess the apparent age of the eye.
FIG. 2 shows the present invention x 1 、x 2 、x 3 And x 4 Schematic representation of the sites, wherein 1 represents x 1 The linear distance from the inner canthus to the outer canthus, 2 represents the inferior border of the upper eyelidThe length of (1) is 3, which represents the distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connection line of the inner and outer canthus, and 4, which represents the angle between the connection line of the inner and outer canthus and the midline of the face.
Fig. 3 is an exemplary diagram of the improvement effect of "natural Tangxue pine essential oil activity Yan Yuling eyesight improving eye cream" on the youth curve of eyes. The left figure is before use, and the right figure is after use.
Fig. 4 is a graph comparing the results of a significance analysis of the mixed linear model test in the application of the improved ocular skin test of example 4, "+" indicates p <0.05.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the invention thereto. Experimental procedures without specifying specific conditions in the following examples were selected in accordance with conventional procedures and conditions, or in accordance with commercial instructions.
In the following examples, facial photograph acquisition equipment Visia-CR was used as supplied by Canfield Scientific, inc. of USA; the Image analysis software used, image-Pro Plus 7.0, was supplied by Media Cybernetics, inc. of USA; the data analysis software used, SPSS Statistics 20.0, was supplied by IBM corporation of America.
Example 1
This example provides four methods for assessing the apparent age of the eye, methods I through IV, specifically including the steps of:
(1) Selecting Chinese females with healthy bodies, normal development and positive five sense organs by the interviewee, and excluding people with facial diseases, scars, facial surgeries, excessive obesity or other possible interference to the research; the interviewees were grouped by age group of 10 years (20-29 years, 30-39 years, 40-49 years and 50-60 years), and each group had about 50 individuals for a total of 229 interviewees; the interviewee fills an informed consent after fully knowing the nature, purpose and content of the study; before the photos are collected, each interviewee needs to fully clean the face and rest for 15 minutes in a room with the conditions of 22 +/-2 ℃ and 50-60% of relative humidity;
then, respectively acquiring the front photos of the face of each interviewee by using a parallel-polarization mode of a facial photo acquisition device Visia-CR (namely, the nose bridge of the face of the interviewee is taken as a central line and forms an angle of 0 degree with a vertical plane where the central line is located), and adopting a built-in scale of the device during shooting;
(2) Respectively carrying out length calibration on the images of the collected photos by using Image-Pro Plus 7.0 Image analysis software to enable the Image pixels to be associated with the lengths, and then carrying out included angle analysis and length analysis on the eye youth curves of the images to obtain x 1 、x 2 、x 3 And x 4 The values are specifically shown in table 1 below;
wherein, the adolescence curve of the eye is shown in fig. 2, which is a curve enclosed by the inner canthus point, line 1, outer canthus point and eyelid line 2, and includes the upper eyelid area, the lower eyelid area and the eyelid pouch area;
wherein, the line 1 is a line connected from the inner canthus point to the outer canthus point along the lower edge of the upper eyelid, or a straight line connected from the inner canthus point to the outer canthus point;
line 2 is a line formed by connecting the outer canthus point downwards to the inner canthus point along the eyelid buccal sulcus;
wherein x is 1 The linear distance from the inner canthus point to the outer canthus point is in cm; x is a radical of a fluorine atom 2 Is the length of the lower margin of the upper eyelid in cm; x is a radical of a fluorine atom 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner canthus and the outer canthus is expressed in cm; x is the number of 4 The included angle between the connecting line of the inner and outer canthus and the central line of the face is degree in unit degrees;
TABLE 1X of interviewees in each age group 1 、x 2 、x 3 And x 4 Value of
(3) According to the actual age y' and the obtained x of each interviewee 1 、x 2 、x 3 、x 4 Performing regression model analysis according to the following 4 ways, and performing R test, F test and t test on the established regression model to obtain a regression equation:
mode I, for y' and x 2 And x 3 Performing regression model analysis to obtain y' and x 2 And x 3 The method is linear regression, the value of the correlation coefficient R is 0.702, most of the change of y' is explained by a regression equation, and the fitting degree is good, wherein the closer the value of R is to 1, the better the regression equation is; the regression model was tested for F by analysis of variance (ANOVA) and had an F value of 109.61<0.001, denoting y' and x 2 And x 3 The regression by the model has statistical significance, and shows that the invention is applied to y' and x 2 And x 3 The regression equation established among the equations has universality and good effectiveness; performing t test on the regression model, and obtaining p value<0.001, which shows that the 2 factors all have significant effects and obtain the regression equation I: y = -13.14+1.17x 2 +28.16x 3 ；
Mode II, for y' and x 3 And x 4 Carrying out regression model analysis to obtain y' and x 3 And x 4 The method is linear regression, the value of the correlation coefficient R is 0.711, most of the change of y' is explained by a regression equation, and the fitting degree is good, wherein the closer the value of R is to 1, the better the regression equation is; the regression model was F-tested using analysis of variance (ANOVA) to obtain an F value of 115.42<0.001, denoting y' and x 3 And x 4 The regression by the model has statistical significance, and shows that the invention is applied to y' and x 3 And x 4 The regression equation established among the equations has universality and good effectiveness; performing t test on the regression model, and obtaining p value<0.001, indicating that all 2 factors have significant effects and leading to regression equation II: y = -55.35+27.05x 3 +0.52x 4 ；
Mode III for y' and x 2 、x 3 And x 4 Performing regression model analysis to obtain y' and x 2 、x 3 And x 4 The method is linear regression, the value of the correlation coefficient R is 0.711, most of the change of y' is explained by a regression equation, and the fitting degree is good, wherein the closer the value of R is to 1, the better the regression equation is; the regression model was tested for F using analysis of variance (ANOVA) and had an F value of 76.83<0.001, indicating y' and x 2 、x 3 And x 4 The regression by the model has statistical significance, and shows that the invention is applied to y' and x 2 、x 3 And x 4 The regression equation established among the two has universality and good effectiveness; performing t test on the regression model, and obtaining p value<0.001, which shows that all 3 factors have significant effects and lead to regression equation III: y = -59.75+1.57x 2 +26.77x 3 +0.53x 4 ；
In the mode IV, for y' and x 1 、x 2 、x 3 And x 4 Performing regression model analysis to obtain y' and x 1 、x 2 、x 3 And x 4 The method is linear regression, the value of the correlation coefficient R is 0.713, most of the change of y' is explained by a regression equation, the fitting degree is good, and the regression equation is good when the value of R is close to 1; the regression model was F-tested using analysis of variance (ANOVA) to give a F value of 57.931<0.001, denoting y' and x 1 、x 2 、x 3 And x 4 The regression by the model has statistical significance, and shows that the invention is applied to y' and x 1 、x 2 、x 3 And x 4 The regression equation established among the equations has universality and good effectiveness; performing t test on the regression model, and obtaining p value<0.001, which shows that all 4 factors have significant effects and lead to regression equation IV: y = -59.95-15.34x 1 +15.87x 2 +27.07x 3 +0.55x 4 ；
(4) According to the 5 regression equations obtained above, the apparent age y of the Chinese female is calculated and evaluated according to the following formula,
formula I, y = -13.14+1.17x 2 +28.16x 3 ；
Formula II, y = -55.35+27.05x 3 +0.52x 4 ；
Formula III, y = -59.75+1.57x 2 +26.77x 3 +0.53x 4 ；
Formula IV, y = -59.95-15.34x 1 +15.87x 2 +27.07x 3 +0.55x 4 。
Example 2
The embodiment provides a method for evaluating the apparent age of eyes, which comprises the following steps:
(1) The evaluated person selects Chinese females which are healthy, normal in development and correct in five sense organs, and people with facial diseases, scars, facial surgeries, excessive obesity or other possible interference researches are excluded; selecting 28 interviewees in total; after the evaluated person fully knows the nature, purpose and content of the research, an informed consent is filled; before taking the photos, each evaluated person needs to fully clean the face and rest for 15 minutes in a room with the conditions set to the temperature of 22 +/-2 ℃ and the relative humidity of 50-60%;
then, respectively acquiring the face front photos of each interviewee (namely, taking the bridge of the nose of the face of the interviewee as a central line and forming an angle of 0 degree with a vertical plane where the central line is located) by using a parallel-polarization mode of a face photo acquisition device Visia-CR, and adopting a built-in scale of the device during shooting;
(2) Respectively carrying out length calibration on the images of the collected photos by using Image-Pro Plus 7.0 Image analysis software to enable the Image pixels to be associated with the lengths, and then carrying out included angle analysis and length analysis on the images of the youth curves to obtain x 1 、x 2 、x 3 And x 4 The values are specifically shown in table 2 below;
wherein, the adolescence curve of the eye is shown in fig. 3, which is a curve enclosed by the inner canthus point, line 1, outer canthus point and line 2, and includes the upper eyelid area, the lower eyelid area and the eyelid pouch area;
wherein, the line 1 is a line connected from the medial canthus point along the upper eyelid lower margin to the outer canthus point, or a straight line connected from the medial canthus point to the outer canthus point;
line 2 is the line connecting from the outer canthus point down along the palpebral sulcus to the inner canthus point.
Wherein x is 1 The linear distance from the inner canthus point to the outer canthus point is in cm; x is the number of 2 Is the length of the lower margin of the upper eyelid in cm; x is a radical of a fluorine atom 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner canthus and the outer canthus is expressed in cm; x is a radical of a fluorine atom 4 The included angle between the connection line of the inner and outer canthus and the central line of the face is degree in unit degree;
(3) According to the 4 regression equations obtained in the embodiment 1, the apparent age y of each evaluated person is obtained by calculating according to the following 4 formulas;
formula I, y = -13.14+1.17x 2 +28.16x 3 ；
Formula II, y = -55.35+27.05x 3 +0.52x 4 ；
Formula III, y = -59.75+1.57x 2 +26.77x 3 +0.53x 4 ；
Formula IV, y = -59.95-15.34x 1 +15.87x 2 +27.07x 3 +0.55x 4 The specific results are shown in table 2 below.
TABLE 2 evaluation results of apparent age of eyes of each subject
Effect example 1
The embodiment of the present invention verifies the reliability of the method for evaluating the apparent age of the eye, and specifically compares the result of evaluating the apparent age of the eye of the person to be evaluated by the four methods I to IV in embodiment 2 with the evaluation result of experts in the field.
The expert evaluation method specifically performs apparent age evaluation on the eyes of 28 evaluated persons in example 2. Before the evaluation, the face of each subject was also thoroughly cleaned and left to rest for 15 minutes in a room with conditions set to a temperature of 22. + -. 2 ℃ and a relative humidity of 50-60%. The specific evaluation results are shown in table 6 below.
TABLE 3 comparison table of eye apparent age evaluation results and expert evaluation results of each subject in EXAMPLE 2
As can be seen from the above data, the apparent age estimated by the method of embodiment 2 of the present invention is substantially consistent with the expert estimation result, and the method for estimating the apparent age of the eye according to the present invention is primarily judged to have good reliability. In order to further quantitatively verify the reliability of the evaluation method, the embodiment performs paired t-test on the apparent age (formula I, formula II, formula III, and formula IV) calculated by the method of embodiment 2 and the apparent age evaluated by experts to obtain a p value for significance analysis. If p is less than 0.05, judging that the apparent age calculated by the method is significantly different from the apparent age estimated by experts, and judging that the estimation results of the two are inconsistent; if p is more than or equal to 0.05, judging that the apparent age calculated by the method is not significantly different from the apparent age estimated by experts, and the estimation results of the two are consistent. Table 7 below lists the results of paired t-tests for apparent and actual age assessed in both ways.
TABLE 4 paired t-test results of apparent and actual ocular ages evaluated in two ways
In the above table, the p value obtained by the paired t test of the apparent age (formula I, formula II, formula III, formula IV) calculated by the method of the present invention and the apparent age estimated by the expert is not less than 0.05, which indicates that the apparent age calculated by the method of the present invention and the apparent age estimated by the expert have no significant difference, and the evaluation results of the two are consistent, thus proving that the evaluation of the apparent age of the eye or the degree of aging of the eye of the person to be evaluated by the method of the present invention is feasible and has good reliability.
Example 3
This example provides a method for assessing the degree of ocular aging, comprising the following steps:
(1) Performing pairing t test on the actual eye age and the estimated apparent eye age of the Chinese woman in example 2 by using data analysis software SPSS Statistics 20.0 to obtain a p value for significance analysis;
(2) If p is less than 0.05, the eye apparent age of the group is significantly different from the actual eye age, and the eye apparent age significance of the evaluated person is judged to be smaller than the actual age; if p is more than or equal to 0.05, the apparent age of the group has no significant difference with the actual age, and the eye apparent age of the evaluated person is judged to have no significant difference with the actual age; the results of the paired t-test of apparent age and actual age are shown in Table 3 below.
TABLE 5 paired t-test results for apparent and actual eye ages
In the above table, the apparent ages calculated by formulas I-IV are paired with actual ages and the t test result p is less than 0.001, indicating that the apparent ages obtained by way of I-IV in example 1 are significantly less than the actual ages. The results further illustrate that the actual age indicates that the eye age has a large error, and the cosmetic or care method for eye care may not be able to achieve the expected effect if the actual age is selected.
Example 4
An application of a method for evaluating an eye apparent age in an eye skin improvement test is specifically as follows:
experiment design: 28 eligible Asian female volunteers were selected, which were eligible for:
(1) Chinese women aged 35-55 years;
(2) For the eyes to be flaccid;
(3) Canthus wrinkles grade 2-4 (0-6 points);
(4) Those who are healthy during the test;
(5) There are no other reasons why dermatologists consider inappropriate participation;
(6) The device can ensure that no sunbathing is carried out during the test period and no long-time outdoor activities are carried out;
(7) Can complete the test scheme as required.
Volunteers who matched any of the following should be excluded:
(1) Patients with severe systemic disease, immunodeficiency or autoimmune disease;
(2) Those suffering from allergic diseases or having cosmetic allergies in the last 1-2 years;
(3) Women scheduled to be pregnant or lactating and within six months of birth;
(4) The test site is currently or recently one month enrolled in other testers;
(5) The test area is a person suffering from a dermatological disease or receiving a drug treatment.
TABLE 6 test products for volunteer use
Cedar essential oil Yan Yuling eyesight improving eye cream has the effect of improving the state of eye skin. During the test period, after the face of the volunteer is cleaned, eye cream containing cedar essential oil is only used in the eye area, and simultaneously the eye cream is used in combination with eye massage, and the eye cream is used for 1 time respectively in the morning and at night and is continuously used for 8 weeks. The volunteers were not able to use any product other than the test product during the test. Before using the product, the front photos of the face of the interviewee are collected by using a parallel-polarization mode of a Visia-CR of the face photo collecting device 4 weeks and 8 weeks later (namely, the nose bridge of the face of the interviewee is used as a central line, and an angle of 0 degree is formed between the nose bridge and a vertical plane where the central line is located), and a scale built in the device is adopted during shooting.
And (3) testing environment: the test temperature was 22. + -. 1 ℃ and the relative humidity was 50. + -. 5%.
And (4) analyzing and counting results: respectively carrying out length calibration on the images of the collected photos by using Image-Pro Plus 7.0 Image analysis software to enable the Image pixels to be associated with the lengths, and then carrying out included angle analysis and length analysis on the eye youth curves of the images; adopting regression equation y = -59.95-15.34x 1 +15.87x 2 +27.07x 3 +0.55x 4 (y: apparent age; x) 1 The linear distance from the inner canthus point to the outer canthus point; x is the number of 2 Is the length of the lower margin of the upper eyelid; x is the number of 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connection line of the inner canthus and the outer canthus; x is the number of 4 Angle degrees between the inner and outer canthus connecting lines and the surface central line) to carry out apparent age fitting; performing one-factor variance analysis on the data by using data analysis software SPSS Statistics 20.0; carrying out pairing t test comparison on the actual age of the eyes and the apparent age of the eyes; the apparent age improvement comparison used a mixed linear model. The test results are shown in table 5 below.
Table 7 results of apparent age improvement in eye skin test
As can be seen from the above table, the volunteers all had a significant improvement in the apparent age of the eyes after 8 weeks of use of the test product. The results are also shown in fig. 3 and fig. 4, wherein "×" in fig. 4 indicates p <0.05. As can be seen from fig. 4, the apparent ages of the eyes of the volunteers were all significantly improved. The method can be applied to the evaluation of the effect of the eye cream on improving the eye skin test.
Claims (19)
1. A method of assessing the apparent age of an eye, comprising the steps of:
(1) The method comprises the steps of collecting a picture of the face of a person to be visited, wherein the collected angle is that the nose bridge of the face of the person to be visited is taken as a center line, and an angle of 0-45 degrees is formed between the collected angle and a vertical plane where the center line is located; wherein the number of the interviewees is multiple;
(2) Length calibration is carried out on the image of the collected photo, and then the image is analyzed to obtain x 2 And x 3 A value of (d);
x is said 2 Is the length of the lower margin of the upper eyelid in cm;
x is said 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner canthus and the outer canthus is expressed in cm;
(3) According to the actual age y' and the obtained x of a plurality of visitors 2 、x 3 Value of (a), for y' and x 2 And x 3 Performing regression model analysis to obtain a regression equation I: y' = b + a 2 x 2 +a 3 x 3 ；
(4) Measuring x of an evaluated person 2 And x 3 According to the regression equation I, the eye apparent age y of the evaluated subject is calculated, y = b + a 2 x 2 +a 3 x 3 。
2. The method for assessing apparent age of the eye of claim 1, wherein in step (1), the facial photograph acquisition device is a Visia-CR facial image analyzer; the Visia-CR facial image analyzer adopts a parallel-polarization mode when acquiring facial pictures of the interviewee;
and/or in the step (1), when the face picture is collected, correcting the relation between the pixel and the length of the picture by adopting a built-in scale of the equipment;
and/or, in the step (1), the interviewee is a person of the same region, the same race and the same sex;
and/or, in the step (1), the number of samples of the interviewee is more than 4;
and/or, in the step (2), the length calibration is carried out by adopting Image analysis software, and the Image analysis software is Image-Pro Plus 7.0 Image analysis software;
and/or, in the step (3), the regression equation is obtained by using SPSS Statistics 20.0 data analysis software;
and/or, in the step (3), the step of testing the established regression model is further included, and the testing method comprises a judgment coefficient testing method, a regression equation significance testing method and a regression coefficient significance testing method;
and/or, in step (4), when the evaluated person is female in yellow population in China, the apparent age of the face of the evaluated person is according to the equation y = -13.14+1.17x 2 +28.16x 3 And (6) calculating.
3. The method of assessing apparent age of the eye of claim 2, wherein in step (1) said subject is a woman of the yellow race of asian;
and/or in the step (1), the number of the samples of the interviewees is more than 24.
4. The method of assessing apparent age of the eye of claim 3, wherein in step (1) said subject is a female of the yellow race population in China.
5. A method of assessing the apparent age of an eye, comprising the steps of:
(1) The method comprises the following steps of collecting a picture of the face of a person to be visited, wherein the collected angle is that the nose bridge of the face of the person to be visited is taken as a center line, and an angle of 0-45 degrees is formed between the collected angle and a vertical plane where the center line is located; wherein the number of the interviewees is multiple;
(2) Length calibration is carried out on the image of the collected photo, and then the image is analyzed to obtain x 3 And x 4 A value of (d);
said x 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner and outer canthus is in cm;
said x 4 The included angle between the connecting line of the inner and outer canthus and the central line of the face is degree in unit degrees;
wherein, the midline of the surface is a connecting line of the midpoints of the eyebrows, the nose tip, the human middle and the labial bulbus;
(3) According to the fact of multiple visitorsAge y' and x obtained 3 And x 4 Value of (a), for y' and x 3 And x 4 Performing regression model analysis to obtain a regression equation II: y' = b + a 3 x 3 +a 4 x 4 ；
(4) Measuring x of an evaluated person 3 And x 4 According to the regression equation II, the eye apparent age y of the evaluated subject is calculated, y = b + a 3 x 3 +a 4 x 4 。
6. The method of assessing apparent age of the eye of claim 5, wherein in step (1) the facial photograph acquisition device is a Visia-CR facial image analyzer; the Visia-CR facial image analyzer adopts a parallel-polarization mode when acquiring facial pictures of the interviewee;
and/or in the step (1), when the face picture is collected, correcting the relation between the pixel and the length of the picture by adopting a built-in scale of the equipment;
and/or, in the step (1), the interviewees are persons in the same region, the same race and the same sex;
and/or, in the step (1), the number of samples of the interviewee is more than 4;
and/or, in the step (2), the length calibration is carried out by adopting Image analysis software, and the Image analysis software is Image-Pro Plus 7.0 Image analysis software;
and/or, in the step (3), the regression equation is obtained by using SPSS Statistics 20.0 data analysis software;
and/or, in the step (3), the step of testing the established regression model is further included, and the testing method comprises a judgment coefficient testing method, a regression equation significance testing method and a regression coefficient significance testing method;
and/or, in the step (4), when the evaluated person is a female of the yellow population in China, the apparent age of the face of the evaluated person is 27.05x + 55.35+ according to the equation y = 3 +0.52x 4 And (4) calculating.
7. The method of assessing apparent age of the eye of claim 6, wherein in step (1), said subject is a woman of the yellow race of Asian;
and/or in the step (1), the number of the samples of the interviewees is more than 24.
8. The method of assessing apparent age of the eye of claim 7, wherein in step (1) said subject is a female of the yellow race population in China.
9. A method of assessing the apparent age of an eye, comprising the steps of:
(1) The method comprises the steps of collecting a picture of the face of a person to be visited, wherein the collected angle is that the nose bridge of the face of the person to be visited is taken as a center line, and an angle of 0-45 degrees is formed between the collected angle and a vertical plane where the center line is located; wherein the number of the interviewees is multiple;
(2) Length calibration is carried out on the image of the collected photo, and then the image is analyzed to obtain x 2 、x 3 And x 4 A value of (d);
said x 2 Is the length of the lower margin of the upper eyelid in cm;
said x 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner canthus and the outer canthus is expressed in cm;
said x 4 The included angle between the connection line of the inner and outer canthus and the central line of the face is degree in unit degree;
wherein, the midline of the surface is a connecting line of the midpoints of the eyebrows, the nose tip, the human middle and the labial bulbus;
(3) According to the actual age y' and the obtained x of a plurality of visitors 2 、x 3 And x 4 Value of (a), for y' and x 2 、x 3 And x 4 Performing regression model analysis to obtain a regression equation III: y' = b + a 2 x 2 +a 3 x 3 +a 4 x 4 ；
(4) Measuring x of an evaluated object 2 、x 3 And x 4 According to said regression equation III,calculating the apparent eye age y of the subject, y = b + a 2 x 2 +a 3 x 3 +a 4 x 4 。
10. The method for assessing apparent age of the eye of claim 9, wherein in step (1), the facial photograph acquisition device is a Visia-CR facial image analyzer; the Visia-CR facial image analyzer adopts a parallel-polarization mode when acquiring facial pictures of the interviewee;
and/or in the step (1), when the face picture is collected, correcting the relation between the pixels and the length of the picture by adopting a built-in scale of the equipment;
and/or, in the step (1), the interviewees are persons in the same region, the same race and the same sex;
and/or, in the step (1), the number of samples of the interviewee is more than 4;
and/or, in the step (2), the length calibration is carried out by adopting Image analysis software, and the Image analysis software is Image-Pro Plus 7.0 Image analysis software;
and/or, in the step (3), the regression equation is obtained by using SPSS Statistics 20.0 data analysis software;
and/or, in the step (3), the step of testing the established regression model is further included, and the testing method comprises a judgment coefficient testing method, a regression equation significance testing method and a regression coefficient significance testing method;
and/or, in step (4), when the evaluated person is a female of the yellow population in China, the apparent age of the face of the evaluated person is 1.57x + 1.75 + according to the equation y = -59.75+ 2 +26.77x 3 +0.53x 4 And (6) calculating.
11. The method of assessing apparent age of the eye of claim 10, wherein in step (1), said subject is a woman of the yellow race of asian;
and/or in the step (1), the number of the samples of the interviewees is more than 24.
12. The method of assessing apparent age of the eye of claim 11, wherein in step (1) said subject is a female of the yellow race population in china.
13. A method of assessing the apparent age of an eye, comprising the steps of:
(1) The method comprises the following steps of collecting a picture of the face of a person to be visited, wherein the collected angle is that the nose bridge of the face of the person to be visited is taken as a center line, and an angle of 0-45 degrees is formed between the collected angle and a vertical plane where the center line is located; wherein the number of the interviewees is multiple;
(2) Length calibration is carried out on the image of the collected photo, and then the image is analyzed to obtain x 1 、x 2 、x 3 And x 4 A value;
said x 1 The linear distance from the inner canthus point to the outer canthus point is in cm;
said x 2 Is the length of the lower margin of the upper eyelid in cm;
said x 3 The distance from the tangent point of the horizontal tangent line of the eyelid-buccal sulcus to the midpoint of the connecting line of the inner canthus and the outer canthus is expressed in cm;
said x 4 The included angle between the connection line of the inner and outer canthus and the central line of the face is degree in unit degree;
wherein, the midline of the surface is a connecting line of the middle point of the eyebrows, the nose tip, the human middle and the labial beads;
(3) According to the actual age y' and the obtained x of a plurality of visitors 1 、x 2 、x 3 And x 4 Value, pair y' and x 1 、x 2 、x 3 And x 4 Performing regression model analysis to obtain a regression equation IV: y' = b + a 1 x 1 +a 2 x 2 +a 3 x 3 +a 4 x 4 ；
(4) Measuring x of an evaluated person 1 、x 2 、x 3 And x 4 Calculating the apparent eye age y, y = b + a of the subject according to the regression equation IV 1 x 1 +a 2 x 2 +a 3 x 3 +a 4 x 4 。
14. The method of assessing apparent age of the eye of claim 13, wherein in step (1) the facial photograph acquisition device is a Visia-CR facial image analyzer; the Visia-CR facial image analyzer adopts a parallel-polarization mode when acquiring the facial picture of the interviewee;
and/or in the step (1), when the face picture is collected, correcting the relation between the pixel and the length of the picture by adopting a built-in scale of the equipment;
and/or, in the step (1), the interviewees are persons in the same region, the same race and the same sex;
and/or, in the step (1), the number of samples of the interviewee is more than 4;
and/or, in the step (2), the length calibration is carried out by adopting Image analysis software, and the Image analysis software is Image-Pro Plus 7.0 Image analysis software;
and/or, in the step (3), the regression equation is obtained by using SPSS Statistics 20.0 data analysis software;
and/or, in the step (3), the step of testing the established regression model is further included, and the testing method comprises a judgment coefficient testing method, a regression equation significance testing method and a regression coefficient significance testing method;
and/or, in the step (4), when the evaluated person is a female of yellow population in China, the apparent age of the face of the evaluated person is according to the equation y = -59.95-15.34x 1 +15.87x 2 +27.07x 3 +0.55x 4 And (4) calculating.
15. The method of assessing apparent age of the eye of claim 14, wherein in step (1) said subject is a woman of the yellow race of asian;
and/or in the step (1), the number of the samples of the interviewee is more than 24.
16. The method of assessing apparent age of the eye of claim 15, wherein said subject is a female of the yellow race of the Chinese world.
17. A method for evaluating the degree of aging of the face, comprising the steps of:
(1) Evaluating a sample population containing a plurality of subjects to be evaluated by the method for evaluating the apparent age of a face according to any one of claims 1 to 8, obtaining the apparent age of each subject to be evaluated;
(2) Carrying out pairing t test on the apparent age and the actual age of a certain evaluated person to obtain a p value of significance analysis, and if p is less than 0.05, judging that the eye apparent age and the actual age have significance difference; and if the p is more than or equal to 0.05, judging that the eye apparent age of the evaluated person has no significant difference from the actual age.
18. The method of assessing the degree of facial aging of claim 17, wherein in step (2), the paired t-test is performed using SPSS Statistics 20.0 data analysis software.
19. A method according to any one of claims 1 to 18 for evaluating the efficacy of a cosmetic and/or care means on eye skin.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810097261.8A CN110096936B (en) | 2018-01-31 | 2018-01-31 | Method for evaluating apparent age of eyes and aging degree of eyes and application thereof |
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| CN105873515A (en) * | 2013-10-17 | 2016-08-17 | 亚特兰大儿童医疗保健公司 | Methods for assessing infant and child development via eye tracking |
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| CN103024338A (en) * | 2011-04-08 | 2013-04-03 | 数字光学欧洲有限公司 | Display device with image capture and analysis module |
| CN105873515A (en) * | 2013-10-17 | 2016-08-17 | 亚特兰大儿童医疗保健公司 | Methods for assessing infant and child development via eye tracking |
| CN107315987A (en) * | 2016-04-27 | 2017-11-03 | 伽蓝（集团）股份有限公司 | Assess facial apparent age, the method and its application of facial aging degree |
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