CN114862443A - Lipstick purchase desire prediction method and system - Google Patents
Lipstick purchase desire prediction method and system Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
- G01J3/462—Computing operations in or between colour spaces; Colour management systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/60—Radiation pyrometry, e.g. infrared or optical thermometry using determination of colour temperature
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Abstract
The invention discloses a lipstick purchase desire prediction method and a lipstick purchase desire prediction system, which comprise the collection of spectral reflectivity of lipstick to be displayed; calculating the hue angle of the lipstick to be displayed in a uniform color space; judging whether the hue angle of the lipstick to be displayed is in the range of the hue angle applicable to the invention; collecting correlated color temperature information of a light source to be used; judging whether the correlated color temperature of the light source to be used is in the range of the correlated color temperature applicable to the invention; according to the hue angle information of the lipstick to be displayed and the correlated color temperature information of the light source to be used, the corresponding estimation quantity value is obtained by combining the lipstick purchase desire prediction estimation model, the lipstick purchase desire prediction under the interaction of the gender, the lipstick color and the light source is realized, and a comprehensive and targeted purchase desire prediction scheme is further provided for the field.
Description
Technical Field
The invention belongs to the technical field of LED intelligent illumination, and particularly relates to a lipstick purchase desire prediction method and system based on gender, lipstick color and light source correlated color temperature.
Background
In recent years, various visual modification and optimization effects of the face by cosmetics have been widely recognized and accepted. Due to the increase of the income of residents and the promotion of urbanization, cosmetics are increasingly becoming the rigid demand of consumers, and the corresponding market size is also continuously expanding. The lipstick is an important component, the frequency of use in daily life is higher than that of other various cosmetics, the importance of the lipstick is not small, and offline lipstick sales cabinets of various brands are also visible everywhere in markets. For consumers, the purchase desire of each lipstick directly induces the consumption trend and behavior; for the manufacturer and the operator, the consumer's purchase is directly related to the interests. It follows that the position and importance of the purchase to this dimension in the market operation.
Currently, the LED intelligent lighting technology is rapidly developed, and people's perception and pursuit of the illumination quality are also continuously improved. The LED light source has the advantages of high light efficiency, low radiation, long service life and the like, so that the LED light source is far ahead of the traditional light source, and the technical characteristic of adjustable light color creates conditions for individual requirements of people, is widely used in multiple fields, and is not exceptional in the cosmetic industry. In the case of selecting lipstick in a market, the light source undoubtedly influences the color judgment of the lipstick on people, further influences the judgment of purchasing desire of people, and scientifically predicts the purchasing desire of consumers under different interactions of the people, possibly brings feasible suggestions and optimization methods for related decisions.
In addition, due to the particularity of cosmetics, which is a kind of commodity, female population is mainly faced in the online sale scene, but the existence of a few male consumption population is not excluded, and the perception and judgment of the cosmetics and the male consumption population are different due to the influence of each congenital factor or acquired factor such as experience, so that separate exploration for different genders is necessary.
In conclusion, it is important to design a method for predicting the purchasing desire of the user for gender, light source and lipstick color scientifically and reasonably.
Disclosure of Invention
The present invention is directed to solve the problems described in the background art, and provides a method and a system for predicting lipstick purchase desire based on gender, lipstick color, and light source correlated color temperature.
The technical scheme of the invention is to provide a lipstick purchase desire prediction method based on gender, lipstick color and light source correlated color temperature, which comprises the following steps:
step 1, measuring the spectral reflectivity of a lipstick number to be displayed;
step 2, calculating a hue angle h of the lipstick to be displayed under a D65 standard light source in a uniform color space L;
step 3, judging the hue angle h of the lipstick to be displayedWhether the color phase angle is within the range of the hue angle applicable to the invention or not is judged 1 ≤h≤h 2 Whether the method is established or not, if not, the method is not applicable, and if so, the next step is carried out;
step 4, measuring the correlated color temperature CCT of the light source to be used;
step 5, judging whether the correlated color temperature CCT of the light source to be used is in the range of the correlated color temperature applicable to the invention, namely judging the CCT 1 ≤CCT≤CCT 2 Whether the method is established or not, if not, the method is not applicable, and if so, the next step is carried out;
step 6, inputting the hue angle information of the lipstick to be displayed in the step 2 and the correlated color temperature information of the light source to be used in the step 4 into the quantitative model M to be predicted for lipstick purchase constructed by the invention 1 、M 2 And M 3 And obtaining the estimated purchasing amount values suitable for males, females and the general population respectively, and further realizing the lipstick purchasing desire prediction under the interaction of the gender, the lipstick color and the light source.
M 1 The model to be estimated is purchased for men, and the specific form is as follows:
M 1 ＝p1+p2*lnh+p3*(lnh) 2 +p4*ln CCT
p1＝-4.196×10 1
p2＝2.991×10 1
p3＝-4.901
p4＝1.496×10 -1
wherein, M 1 For the male to purchase the value to be evaluated, h is the hue angle of lipstick to be displayed in uniform color space L under the light source D65, and CCT is the correlated color temperature of the light source to be used.
M 2 The model to be estimated is purchased for women in the following specific form:
p1＝4.511
p2＝1.372×10 -4
p3＝-4.862×10 6
wherein M is 2 The quantity to be estimated is purchased for women, h is the hue angle of the lipstick to be displayed in the uniform color space L under the light source D65, and CCT is the correlated color temperature of the light source to be used.
M 3 The model to be estimated for the total purchase is specified as follows:
p1＝5.445
p2＝-1.198×10 6
p3＝-5.160×10 1
wherein M is 3 For total purchase of the estimated quantity, which is suitable for both men and women, h is the hue angle of the lipstick to be exhibited in the uniform color space L under the light source D65, CCT is the correlated color temperature of the light source to be used.
In step 1, the spectral reflectance of the lipstick to be displayed obtained by measurement is subjected to 400nm-700nm wave band information.
Furthermore, in step 2, the uniform color space L is a CAM16-UCS uniform color space.
And, in step 3, h 1 ＝12.0°，h 2 ＝26.5°。
And, in step 5, CCT 1 ＝2500k，CCT 2 ＝6500k。
The invention also provides a lipstick purchase expectation prediction system based on gender, lipstick color and light source correlated color temperature, which comprises the following modules:
the lipstick reflectivity acquisition module to be displayed is used for measuring the spectral reflectivity of lipstick to be displayed;
the lipstick phase angle calculation module to be shown is used for calculating the hue angle h of the lipstick to be shown under a D65 standard light source in the uniform color space L;
a hue angle range judging module for judging whether the hue angle h of the lipstick to be displayed is in the hue angle range applicable to the invention, namely judging h 1 ≤h≤h 2 Whether the method is established or not, if not, the method is not applicable;
the correlated color temperature information acquisition module of the light source to be used is used for measuring the correlated color temperature of the light source to be used;
a correlated color temperature range judging module for judging whether the correlated color temperature CCT of the light source to be used is in the correlated color temperature range applicable to the invention, namely judging the CCT 1 ≤CCT≤CCT 2 If not, the invention is not applicable.
The lipstick purchase desire prediction module is used for adopting the three lipstick purchase desire prediction estimation models constructed by the invention to respectively predict the purchase desire of the lipstick to be displayed and the light source to be used, wherein the prediction is suitable for men, women and general population, and the purchase desire quantitative estimation values of the lipstick and the light source under the interaction are measured according to the output result. The method is realized by inputting the hue angle information of the lipstick to be displayed and the correlated color temperature information of the light source to be used into the three lipstick purchase expectation estimation models constructed by the method, and obtaining the corresponding estimation quantity value by purchasing the expectation estimation models, so as to realize the lipstick purchase expectation prediction under the interaction of the gender, the lipstick color and the light source;
M 1 the model to be estimated is purchased for men, and the specific form is as follows:
M 1 ＝p1+p2*lnh+p3*(lnh) 2 +p4*ln CCT
p1＝-4.196×10 1
p2＝2.991×10 1
p3＝-4.901
p4＝1.496×10 -1
wherein M is 1 H is the hue angle of lipstick to be displayed under a light source D65 in a uniform color space L, and CCT is the correlated color temperature of the light source to be used;
M 2 the model to be estimated is purchased for women in the following specific form:
p1＝4.511
p2＝1.372×10 -4
p3＝-4.862×10 6
wherein M is 2 Purchasing a quantity value to be estimated for a woman, wherein h is a hue angle of lipstick to be displayed in a uniform color space L under a light source D65, and CCT is a correlated color temperature of the light source to be used;
M 3 the model to be estimated for the total purchase is specified as follows:
p1＝5.445
p2＝-1.198×10 6
p3＝-5.160×10 1
wherein M is 3 For total purchase of the estimated quantity, which is suitable for both men and women, h is the hue angle of the lipstick to be exhibited in the uniform color space L under the light source D65, CCT is the correlated color temperature of the light source to be used.
And in the lipstick reflectivity collection module to be displayed, the spectral reflectivity of the lipstick to be displayed obtained by measurement adopts 400nm-700nm wave band information.
Moreover, in the lipstick hue angle calculation module to be shown, the uniform color space L adopts a CAM16-UCS uniform color space.
Furthermore, in the hue angle range determination module, h 1 ＝12.0°，h 2 ＝26.5°。
Furthermore, in the correlated color temperature range judgment module, CCT 1 ＝2500k，CCT 2 ＝6500k。
Compared with the prior art, the invention has the following beneficial effects:
the lipstick purchase desire prediction method based on gender, lipstick color and light source correlated color temperature provided by the invention is based on the lipstick color characteristics to be displayed and the correlated color temperature index of a light source, and takes three purchase desire prediction estimation models as means, so that comprehensive and accurate prediction and evaluation of the lipstick purchase desire to be displayed under the interaction of the gender, the lipstick color and the light source are realized, and a comprehensive and targeted purchase desire prediction scheme is further provided for the field.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
The following provides a detailed description of embodiments of the invention, taken in conjunction with the accompanying drawings.
The lipstick purchase desire prediction method based on gender, lipstick color and light source correlated color temperature provided by the embodiment shown in fig. 1 is based on the lipstick color characteristics to be displayed and the correlated color temperature index of the light source, and realizes comprehensive and accurate prediction and evaluation of lipstick purchase desire to be displayed under the interaction of the gender, the lipstick color and the light source by taking three purchase desire prediction models as means.
The embodiment employs 5 kinds of LED light sources having different correlated color temperatures as light sources to be used: the correlated color temperatures are 2500K, 3500K, 4500K, 5500K and 6500K respectively; 3 commercially popular lipstick numbers are taken as lipstick numbers to be displayed, and belong to a bright red system, an orange red system and a sweetened bean paste color system respectively; the accuracy of the lipstick purchase expectation prediction method based on gender, lipstick color and light source correlated color temperature is explained by taking the psychophysics experiment result as a model test basis. It should be noted that the present invention is not limited to the above light source and lipstick, and the method is also applicable to other LED light sources or other color number lipsticks.
When the technical scheme of the invention is implemented, the technical scheme can be automatically operated by a person skilled in the art by adopting a computer software technology. The method flow provided by the embodiment comprises the following steps:
1) measuring the spectral reflectivity of the lipstick to be displayed, and adopting 400nm-700nm wave band information;
in the embodiment, the lipstick numbers of 3 kinds of thermal pins are used as the lipstick numbers to be displayed, and the spectral reflectivity of the lipstick to be displayed is obtained in a multi-spectral reflectivity reconstruction mode. For a related introduction and specific embodiments of the multi-spectral reflectance reconstruction, see: the study on spectral reconstruction of a single RGB image by using a Liangjinxing, dawn-Xia color digital camera [ J ]. optical science and newspaper, 2017,37(9): 363-.
2) Calculating the hue angle h of the lipstick to be displayed under a D65 standard light source in the uniform color space L;
in an embodiment, the hue angle h of a lipstick to be displayed under a D65 standard light source is calculated using CAM16-UCS color space. Specific methods for calculating the hue angle h in the CAM16-UCS Color space include Li C, Li Z, Wang Z, et al, comprehensive Color solutions, CAM16, CAT16, and CAM16-UCS [ J ]. Color Research & Application,2017,42(6):703-718, which is not repeated herein.
3) Judging whether the hue angle h of the lipstick to be displayed is in the hue angle range applicable to the invention, namely judging h 1 ≤h≤h 2 If the determination result is true, the invention is not applicable, and if the determination result is true, the next step is carried out:
in the examples, h 1 ＝12.0°，h 2 ＝26.5°。
4) Measuring a correlated color temperature of a light source to be used;
in an embodiment, a luminometer is used to measure the correlated color temperature of 5 different light sources. They are respectively: 2500K, 3500K, 4500K, 5500K and 6500K.
5) Judging whether the correlated color temperature CCT of the light source to be used is in the range of the correlated color temperature applicable to the invention, namely judging the CCT 1 ≤CCT≤CCT 2 If the determination result is true, the invention is not applicable, and if the determination result is true, the next step is carried out:
in an embodiment, CCT 1 ＝2500K、CCT 2 ＝6500K。
6) Inputting the hue angle information of the lipstick to be displayed and the correlated color temperature information of the light source to be used obtained in the steps 2) and 4) into three lipstick purchase expectation prediction quantization models M constructed by the invention and aiming at different crowds 1 、M 2 And M 3 Respectively obtaining the purchasing desire prediction suitable for males, females and the whole population, and realizing the interaction of gender, lipstick color and light sourceThe lipstick purchase is to be predicted.
M 1 The model to be estimated is purchased for men, and the specific form is as follows:
M 1 ＝p1+p2*lnh+p3*(lnh) 2 +p4*ln CCT
p1＝-4.196×10 1
p2＝2.991×10 1
p3＝-4.901
p4＝1.496×10 -1
wherein M is 1 The quantity to be estimated is purchased for men, h is the hue angle of the lipstick to be displayed in the uniform color space L under the light source D65, and CCT is the correlated color temperature of the light source to be used.
M 2 The model to be estimated is purchased for women in the following specific form:
p1＝4.511
p2＝1.372×10 -4
p3＝-4.862×10 6
wherein M is 2 The quantity to be estimated is purchased for women, h is the hue angle of the lipstick to be displayed in the uniform color space L under the light source D65, and CCT is the correlated color temperature of the light source to be used.
M 3 The model to be estimated for the total purchase is specified as follows:
p1＝5.445
p2＝-1.198×10 6
p3＝-5.160×10 1
wherein M is 3 For total purchase of the estimated quantity, which is suitable for both men and women, h is the hue angle of the lipstick to be exhibited in the uniform color space L under the light source D65, CCT is the correlated color temperature of the light source to be used.
To further prove the technical advantages of the method of the present invention in predicting lipstick purchase desire, the method uses psychophysics experiments to calculate the lipstick purchase desire of men, women and general population respectively obtained by the psychophysics experiments and the lipstick purchase desire prediction estimate value M in 6) by the method of correlation coefficient R 1 、M 2 、M 3 PEARSON correlation coefficient therebetween. The specific implementation is as follows: the psychophysics experiment is carried out by taking the 5 types of light sources to be used as experiment light sources and the 3 types of hot lipstick numbers as experiment objects, and the specific experiment mode is as follows:
1) the method comprises the steps of carrying out experiments in a darkroom, wherein gray background cloth is distributed on the periphery of an experimental area, the three hot color numbers of lipstick are used as experimental objects, a female is used as an experimental model, the lipstick is smeared on lips in the experimental process, the real use scene of the lipstick is simulated, and meanwhile, the whole course of the experiment covers other facial features of the model wearing eyeshade as much as possible, so that the interference is avoided. The two intelligent LED light sources respectively form an angle of 45 degrees with the central axis of an experimenter, and the faces of the intelligent LED light sources are uniformly illuminated. And the top of each lamp box is provided with a light-emitting hardware for generating a specified experimental light source. The observer can freely move in the specified area of the experiment, thereby comprehensively and finely observing the color of the lips of the model after the lipstick is coated.
2) In the experiment process, experimenters can change the lipstick number of the model and the correlated color temperature of the experiment light source according to the designated sequence, and an observer needs to record the purchase desire evaluation of the lip color of the model under each experiment scene in an experiment record table according to the evaluation rule specified by the experiment. The evaluation rule is specifically as follows:
and (4) scoring by adopting seven-grade evaluation, wherein the score of 1 is very undesirable to buy, the score of 7 is very desirable to buy, and the larger the number is, the larger the purchase intention is from 1 to 7. After the observer observes the color of the lip lipstick of the experimenter for a period of time, the observer can make a corresponding score. Meanwhile, other experimenters can continuously remind the observer to pay attention to the lipstick color of the lips of the model as much as possible, and the interference of other facial features is eliminated.
3) The total number of observers selected in the experiment is 60, and the proportion of male to female is 1: 1, and all have normal vision. Before each experiment, the experimenter will speak the experimental situation by mouth. During the experiment, an observer observes the lipstick color of the lip of the model under a corresponding light source and then makes the purchase evaluation, then closes eyes until the experimenter changes the next lipstick color number and the experiment light source, the observer observes for a while again and then makes the purchase evaluation, and the step is repeated until the last group of experiment scenes. In total, 5 (light source) × 3 (lipstick number) ═ 15 sets of experimental scenes.
4) After the experiment is finished, the score of the lipstick purchase desire evaluation of all observers is counted so as to calculate the PEARSON correlation coefficient between the subjective evaluation value and the lipstick purchase desire prediction evaluation value constructed by the invention, and the experimental result is shown in the following table 1, wherein the larger the numerical value is, the higher the lipstick purchase desire score under the lipstick-light source combination is.
TABLE 1 observer purchase desire subjective evaluation test results
The subjective evaluation values of different sex observers to purchase different combinations of light sources and lipstick numbers can be obtained through the psychophysics experiments, and the evaluation values M to be predicted for the purchase of the three types of lipstick constructed by the invention and the evaluation values M to be predicted 1 、M 2 And PEARSON correlation coefficient between M3, as shown in table 2 below. The result shows that the correlation coefficient values between the subjective evaluation value and the model estimation value are all above 0.9, which proves that the lipstick purchase prediction model based on gender, lipstick color and light source correlated color temperature has extremely high accuracy, and further proves that the method has strong technical advantages in the aspect of lipstick purchase prediction.
Table 2 correlation coefficient between subjective evaluation value and model estimation value
| Pearson correlation coefficient | |
| M 1 Desire for purchase by male | 0.960 |
| M 2 Desire for purchase by women | 0.934 |
| M 3 General desire to purchase | 0.906 |
The invention also provides a lipstick purchase expectation prediction system based on gender, lipstick color and light source correlated color temperature, which comprises the following modules:
the lipstick reflectivity acquisition module to be displayed is used for measuring the spectral reflectivity of lipstick to be displayed;
the lipstick phase angle calculation module to be shown is used for calculating the hue angle h of the lipstick to be shown under a D65 standard light source in the uniform color space L;
a hue angle range judging module for judging whether the hue angle h of the lipstick to be displayed is in the hue angle range applicable to the invention, namely judging h 1 ≤h≤h 2 Whether the method is established or not, if not, the method is not applicable;
the correlated color temperature acquisition module of the light source to be used is used for measuring the correlated color temperature CCT of the light source to be used;
a correlated color temperature range judging module for judging whether the correlated color temperature CCT of the light source to be used is in the correlated color temperature range applicable to the invention, namely judging the CCT 1 ≤CCT≤CCT 2 Whether the method is established or not, if not, the method is not applicable;
and the lipstick purchase prediction module is used for predicting purchase desire under the combination of the lipstick color number with interaction and the light source correlated color temperature by adopting the three purchase desire prediction estimation models constructed by the invention aiming at different crowds, and quantitatively estimating the purchase desire of the lipstick according to the output result. The method is realized by inputting the hue angle information of the lipstick to be displayed and the correlated color temperature of the light source to be used into the three estimation models to be predicted for purchase, and obtaining the corresponding estimation quantity value through purchasing the estimation models to be predicted, thereby realizing the prediction of the lipstick purchase desire under the interaction of the sex, the lipstick color and the light source.
M 1 The model to be estimated is purchased for men, and the specific form is as follows:
M 1 ＝p1+p2*lnh+p3*(lnh) 2 +p4*ln CCT
p1＝-4.196×10 1
p2＝2.991×10 1
p3＝-4.901
p4＝1.496×10 -1
wherein M is 1 H is the hue angle of lipstick to be displayed under a light source D65 in a uniform color space L, and CCT is the correlated color temperature of the light source to be used;
M 2 the model to be estimated is purchased for women in the following specific form:
p1＝4.511
p2＝1.372×10 -4
p3＝-4.862×10 6
wherein M is 2 Purchasing a quantity value to be estimated for a woman, wherein h is a hue angle of lipstick to be displayed in a uniform color space L under a light source D65, and CCT is a correlated color temperature of the light source to be used;
M 3 the model to be estimated for the total purchase is specified as follows:
p1＝5.445
p2＝-1.198×10 6
p3＝-5.160×10 1
wherein M is 3 For total purchase of the estimated quantity, which is suitable for both men and women, h is the hue angle of the lipstick to be exhibited in the uniform color space L under the light source D65, CCT is the correlated color temperature of the light source to be used. And in the lipstick reflectivity collection module to be displayed, the spectral reflectivity of the lipstick to be displayed obtained by measurement adopts 400nm-700nm wave band information.
Moreover, in the lipstick hue angle calculation module to be shown, the uniform color space L adopts a CAM16-UCS uniform color space.
Furthermore, in the hue angle range determination module, h 1 ＝12.0°，h 2 ＝26.5°。
In the correlated color temperature range judgment module of the light source to be used, CCT1 is 2500k, and CCT2 is 6500 k.
The specific implementation of each module corresponds to each step, and the detailed description of the invention is omitted.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Claims (10)
1. A lipstick purchase desire prediction method is characterized by comprising the following steps:
step 1, measuring the spectral reflectivity of lipstick to be displayed;
step 2, calculating a hue angle h of the lipstick to be displayed under a D65 standard light source in a uniform color space L;
step 3, judging whether the hue angle h of the lipstick to be displayed is in the set hue angle range, namely judging h 1 ≤h≤h 2 If it is not, quitting, if not, exitingIf yes, carrying out the next step;
step 4, measuring the correlated color temperature of the light source to be used;
step 5, judging whether the correlated color temperature CCT of the light source to be used is in a set correlated color temperature range, namely judging the CCT 1 ≤CCT≤CCT 2 Whether the judgment is true or not, if not, quitting, and if true, performing the next step;
step 6, inputting the hue angle information of the lipstick to be displayed in the step 2 and the correlated color temperature information of the light source to be used in the step 4 into three constructed quantitative models M to be predicted for lipstick purchase of different crowds 1 、M 2 And M 3 Respectively obtaining the estimated quantity values of the male, female and general population for predicting the lipstick purchase desire, and realizing the lipstick purchase desire prediction under the interaction of the gender, the lipstick color and the light source;
M 1 the model to be estimated is purchased for men, and the specific form is as follows:
M 1 ＝p1+p2*ln h+p3*(lnh) 2 +p4*ln CCT
p1＝-4.196×10 1
p2＝2.991×10 1
p3＝-4.901
p4＝1.496×10 -1
wherein M is 1 H is the hue angle of lipstick to be displayed under a light source D65 in a uniform color space L, and CCT is the correlated color temperature of the light source to be used;
M 2 the model to be estimated is purchased for women in the following specific form:
p1＝4.511
p2＝1.372×10 -4
p3＝-4.862×10 6
wherein M is 2 The quantity to be estimated is purchased for women, h is the lipstick to be displayed in a uniform color space L under a light source D65CCT is the correlated color temperature of the light source to be used;
M 3 the model to be estimated for the total purchase is specified as follows:
p1＝5.445
p2＝-1.198×10 6
p3＝-5.160×10 1
wherein M is 3 For total purchase of the estimated quantity, which is suitable for both men and women, h is the hue angle of the lipstick to be exhibited in the uniform color space L under the light source D65, CCT is the correlated color temperature of the light source to be used.
2. The method of claim 1, wherein the method comprises: in the step 1, the spectral reflectivity of the lipstick to be displayed obtained by measurement adopts 400nm-700nm wave band information.
3. The method of claim 1, wherein the method comprises: in step 2, the uniform color space L is a CAM16-UCS uniform color space.
4. The method of claim 1, wherein the method for predicting lipstick purchase desire comprises: in step 3, h 1 ＝12.0°，h 2 ＝26.5°。
5. The method of claim 1, wherein the method comprises: in step 5, CCT 1 ＝2500k，CCT 2 ＝6500k。
6. A lipstick purchase expectation prediction system is characterized by comprising the following modules:
the lipstick reflectivity acquisition module to be displayed is used for measuring the spectral reflectivity of lipstick to be displayed;
the lipstick phase angle calculation module to be shown is used for calculating the hue angle h of the lipstick to be shown under a D65 standard light source in the uniform color space L;
a hue angle range judging module for judging whether the hue angle h of the lipstick to be displayed is in the set hue angle range, namely judging h 1 ≤h≤h 2 Whether the judgment is true or not, and if not, quitting;
the correlated color temperature information acquisition module of the light source to be used is used for measuring the correlated color temperature CCT of the light source to be used;
a correlated color temperature range judging module of the light source to be used for judging whether the correlated color temperature CCT of the light source to be used is in the set correlated color temperature range, namely judging the CCT 1 ≤CCT≤CCT 2 Whether the judgment is true or not, and if not, quitting;
the lipstick purchase prediction module is used for respectively predicting the purchase desire of the lipstick to be displayed and the light source to be used by adopting the three constructed lipstick purchase desire estimation models, and measuring the purchase desire quantitative estimation values of the lipstick and the light source under the interaction according to the output result, wherein the three constructed lipstick purchase desire estimation models are suitable for males, females and general population; the implementation mode is that the hue angle information of the lipstick to be displayed and the correlated color temperature information of the light source to be used are input into the three constructed lipstick purchase estimation models, and the corresponding estimation quantity value is obtained by purchasing the estimation models to be predicted, so as to realize the lipstick purchase estimation under the interaction of the gender, the lipstick color and the light source;
M 1 the model to be estimated is purchased for men, and the specific form is as follows:
M 1 ＝p1+p2*ln h+p3*(ln h) 2 +p4*ln CCT
p1＝-4.196×10 1
p2＝2.991×10 1
p3＝-4.901
p4＝1.496×10 -1
wherein M is 1 H is the hue angle of the lipstick to be displayed under the light source D65 in the uniform color space L, and CCT is the correlated color temperature of the light source to be used, so as to be suitable for the male purchasing desire value;
M 2 the model to be estimated is purchased for women in the following specific form:
p1＝4.511
p2＝1.372×10 -4
p3＝-4.862×10 6
wherein M is 2 Purchasing a quantity value to be estimated for a woman, wherein h is a hue angle of lipstick to be displayed in a uniform color space L under a light source D65, and CCT is a correlated color temperature of the light source to be used;
M 3 the model to be estimated for the total purchase is specified as follows:
p1＝5.445
p2＝-1.198×10 6
p3＝-5.160×10 1
wherein M is 3 For total purchase of the estimated quantity, which is suitable for both men and women, h is the hue angle of the lipstick to be exhibited in the uniform color space L under the light source D65, CCT is the correlated color temperature of the light source to be used.
7. The system of claim 6, wherein the system for predicting lipstick purchase desire comprises:
and in the lipstick reflectivity acquisition module to be displayed, the spectral reflectivity of the lipstick to be displayed obtained by measurement adopts 400nm-700nm wave band information.
8. The system of claim 6, wherein the system for predicting lipstick purchase desire comprises:
in the lipstick hue angle calculation module to be shown, the uniform color space L adopts a CAM16-UCS uniform color space.
9. The system of claim 6, wherein the system for predicting lipstick purchase desire comprises:
in the module for judging the hue angle range, h 1 ＝12.0°，h 2 ＝26.5°。
10. The system of claim 6, wherein the system for predicting lipstick purchase desire comprises:
in the correlated color temperature range judging module, CCT1 is 2500k, and CCT2 is 6500 k.
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