Method for determining parameters related to the color tone of an individual's body zone

Abstract

The present invention relates to a method for determining parameters regarding the color tone of an individual's body zone, the method comprising: - selecting an individual sample (10) from a set of samples (10), each sample (10) of the set being a sample representing a body zone and having a reference color different from the other samples (10); - acquiring, by means of a sensor, an image of both the selected sample (10) and the corresponding body zone of the individual, a so-called initial image; - processing the initial image by means of a computer in order to obtain parameters regarding the color tone of the individual's body zone and including.

Description

Technical Field

[0001] The present invention relates to a method for determining parameters relating to the color tone of an individual's body zones, such as hair, skin, nails, etc. The present invention also relates to a related determination device.

Background Art

[0002] The aim of the cosmetics industry is to improve the experience of its consumers. Specifically, there is a growing tendency to propose products that are increasingly adapted to the specific needs and characteristics of the user. This tendency is generally referred to as "customization".

[0003] The customization of cosmetic products and services can relate to any part of the human body, but is particularly interesting for exposed body parts such as the face (makeup or care products, specifically foundations) and hair (for example care or coloring products).

[0004] In this way, it is known to recommend a suitable foundation (for example "Le Teint Particulier" (registered trademark) by LANCOME (registered trademark)) using one or more characteristics of the user's skin. It is also known to propose customized hair care products whose composition is determined from different characteristics of the user's hair (see for example the documents EP 0443741, as well as the documents WO 2004 / 002300 A2 and US 9316580 B).

[0005] The concept of customization goes beyond simply offering a greater or lesser wide range of products each corresponding to a user category, and it is often difficult to be able to recommend the product that is most suitable for the user according to their individual specific characteristics.

[0006] As described in the above-mentioned literature, the concept of customization generally includes a first step of analysis aimed at obtaining one or more data specific to the corresponding user, where this data is used to determine a suitable treatment and / or one or more suitable products intended to be applied to the corresponding body part of the user.

[0007] Until recently, the analysis steps were often performed manually or visually by experts such as beauticians or beauty advisors. Specifically, it is known that the user can be asked to fill out a questionnaire, and the responses can be used to recommend to the user the products considered to be the most suitable (see specifically document US 2014 / 0216492 A). Clearly, such techniques seem to be extremely uncertain and lack accuracy.

[0008] For the purpose of improving the appropriateness and reliability of product recommendations, one or more steps can be performed by using tools or devices, and can be further automated.

[0009] Therefore, all or part of the initial characteristics specific to the user can be obtained by objective measurement values by using a suitable measurement device. An example of such a device is the CAPSURE device sold by X-RITE, which is designed to return a color code representing the color of the material to be measured, for example, the skin of the user (see specifically document US 2010 / 0328667 A, although this document is not explicitly targeted at the skin or keratin surface).

[0010] Furthermore, augmented reality software that enables virtual try-on of makeup products is also known to assist users in product selection. Generally, such software can start from a user's digital image and calculate and generate corresponding images showing the possible makeup effects that can be obtained when applying the product under consideration. Such systems are known for virtual try-on of foundation, lipstick, hair dye, etc., in the same way as systems for clothes or glasses. Thanks to such systems, users can directly, immediately, and easily evaluate the makeup results of multiple products without having to purchase and apply or remove makeup with them. Examples of methods for virtual try-on of makeup products are described, for example, in documents US20200160153A1 and US9449412B1, as well as in the as-yet unpublished applications FR21 / 06030, FR21 / 11155, and FR21 / 11164 in the name of the applicant.

[0011] However, these tools can also be improved to provide the user with the rendering closest to the desired rendering.

Prior Art Documents

Patent Documents

[0012]

Patent Document 1

Patent Document 2

Patent Document 3

Patent Document 4

Patent Document 5

Patent Document 6

Patent Document 7

Patent Document 8

Patent Document 9

Patent Document 10

Patent Document 11

Patent Document 12

Patent Document 13

Patent Document 14

Summary of the Invention

[0013] Therefore, it is necessary to facilitate and improve the accuracy of determining parameters related to the color tone of an individual's body zones such as hair, skin, and nails.

Means for Solving the Problems

[0014] For this purpose, the object of the present specification is a method for determining parameters related to the color tone of an individual's body zones such as hair, skin, and nails, the method comprising: - a step of selecting an individual sample from a set of samples, each sample of the set being a sample representing a body zone, having a reference color different from other samples, each sample having an identifier displayed on the sample, the identifier of each sample being associated with colorimetric data representing the reference color of the sample, so-called sample reference data, and the sample reference data of each identifier being stored in a database; the step of selecting; - a step of acquiring, by a sensor, an image of both the selected sample and the corresponding body zone of the individual, a so-called initial image; - a step of processing the initial image by a computer, ○ the sample reference data of the sample imaged on the initial image according to the identifier of the sample and a database accessible by the computer, and ○ The step of processing to obtain colorimetric data representing the actual color of the sample on the initial image, so-called sample actual data, and the so-called sample actual data is a step to be processed, wherein the sample reference data and the sample actual data form parameters related to the color tone of an individual's body zone, and the step of processing are included.

[0015] According to a specific implementation form, the method includes one or more of the following features, considered individually or in any technically possible combination. - The method includes the step of determining, by a computer, the influence of the environment on the colorimetric rendering of an individual's body zone by comparing the sample reference data with the sample actual data. - The method ○ is the step of modifying the initial image according to the sample actual data so that the color of the individual's body zone on the initial image is replaced by the actual color of the sample on the initial image, and the modified initial image forms a rendering image, and the step of modifying, ○ and the step of displaying the rendering image on a display are included, and the step of virtual try-on of the selected sample is included. - When receiving a command to verify the rendering image, the method includes the step of determining, by a computer, the color tone of an individual's body zone according to the initial image, the sample reference data, and the sample actual data. - The step of determining the color tone is the step of determining colorimetric data representing the actual color of the individual's body zone on the initial image, so-called individual actual data, and the color tone of the individual's body zone is determined according to the individual actual data, the sample reference data, and the sample actual data, and the step of determining is included. - The step of determining the color tone ○ is the step of determining the colorimetric mismatch between the sample reference data and the sample actual data, ○ A step of determining colorimetric data representing a reference color of an individual's body area, so-called individual reference data, according to personal actual data and discrepancies further comprising ○ According to the individual reference data and the sample reference data, the color tone of the individual's body zone is determined. - The processing step includes a step of highlighting a sample on the initial image and determining sample actual data over a portion of the initial image that characterizes the sample. - The highlighting is performed by segmentation or by extracting a zone around the identifier of the sample on the initial image after identifying the identifier on the initial image. - The sample is selected from a list including a photograph, a Post-it note, a fabric, a figurine, a miniature product, a hair lock, an artificial skin sample, fake eyelashes, fake eyebrows, or fake nails, etc., an actual or fake sample of a part of the human body. - The identifier is selected from a number, a series of alphanumeric characters, a barcode, a wireless identification marker, a near-field communication marker, and a marker enabling visual identification.

[0016] This specification also relates to a device for determining parameters regarding the color tone of an individual's body zone, such as hair, skin, nails, etc., after selecting an individual sample from a set of samples, each sample of the set being a sample representing a body zone, having a reference color different from other samples, each sample having an identifier displayed on the sample, the identifier of each sample being associated with colorimetric data representing the reference color of the sample, so-called sample reference data, the sample reference data of each identifier being stored in a database, and the device being - a sensor capable of acquiring an image, so-called initial image, of both the selected sample and the corresponding body zone of the individual - a computer having access to the database, the computer being ○ Sample identifier and sample reference data of the sample imaged on the initial image according to a computer-accessible database, and ○ Colorimetric data representing the actual color of the sample on the initial image, so-called sample actual data Colorimetric data representing the actual color of the sample on the initial image, so-called sample actual data and configured to process the initial image to obtain ○ The sample reference data and the sample actual data form parameters related to the color tone of an individual's body zone, a computer comprising.

[0017] Merely by way of example, reading the following description provided in connection with the drawings, other features and advantages of the present invention will become apparent.

Brief Description of the Drawings

[0018]

Figure 1

Figure 2

Figure 3

Figure 4

Embodiments for Carrying Out the Invention

[0019] In the following description, the body zone refers to, for example, an individual's hair, skin, or one or more nails. Specific examples thereof include hair, particularly hair (FIGS. 1 and 4). However, this description applies to any other body zone type as well.

[0020] In the remainder of this specification, the term "hair" refers to any type of hair of an individual, regardless of their location on the body surface of the individual. Hair contains an individual's hair system. Hair, eyelashes, and eyebrows are examples of hair.

[0021] Generally, the term "cosmetic product" refers to a product as defined in Regulation (EC) No. 1223 / 2009 of the European Parliament and of the Council of 30 November 2009 on cosmetic products. More specifically, a makeup cosmetic product is intended to cover the body surface in order to modify the perceived color and / or texture. In particular, the concept of a cosmetic product refers to any substance or mixture intended to come into contact with the surface parts of the human body (epidermis, hair follicle and hair duct systems, nails, lips, and external genitalia), or teeth and oral mucosa, exclusively or mainly for the purpose of cleaning them, perfuming them, changing their appearance, protecting them, or maintaining them in good condition or with a normal body odor.

[0022] For example, a cosmetic product is a dye formulation, also called a "dye", or a product such as a cream or a liquid, intended to come into contact with a body zone for the purpose of coloring it. Such coloring can be permanent or temporary.

[0023] The term "color" of a cosmetic product refers to the visible color or rendering of color at the time when the cosmetic product is applied to a body zone of a reference individual or a model of a body zone. For example, in the case of hair, taking into account the differences in the nature and lifespan of hair between individuals, the rendering of color may differ when the cosmetic product is applied to the hair of a given individual as compared to the rendering obtained on the reference individual or a hair model.

[0024] Figure 1 shows an example of a set of samples 10.

[0025] The set of samples 10 includes at least two samples 10, preferably three or more samples 10. The sample 10 is an object operable by an individual.

[0026] Each sample 10 represents a body zone. A body zone is, for example, an individual's hair, skin, or one or more nails, etc.

[0027] Preferably, the sample 10 is selected from a list including a photograph, a Post-it, a fabric, a figurine, a miniature product, a tuft of hair (real or fake), an artificial skin sample, fake eyelashes, fake eyebrows, or fake nails, etc., actual or fake samples of a part of the human body.

[0028] In the specific example shown in FIG. 1, the set of samples is a set of hairs, in particular a tuft of hair forming a hair color chart.

[0029] Each sample 10 has a reference color different from that of the other samples 10. The "reference color" should be understood as, for example, a predefined color of the sample 10 obtained by placing the object in a predefined environment. For example, the reference color is measured in this environment by a sensor such as a spectrophotometer.

[0030] Advantageously, each sample 10 is attached to the same support, regardless of whether it is detachable. Preferably, the support is portable by an individual or operable by an individual.

[0031] For example, the support is a catalog. The "catalog" should be understood as a work in which the sample 10 is recorded. When the sample 10 is a tuft of hair, such a catalog forms a hair color chart.

[0032] Each sample 10 is associated with an identifier 10A. The "identifier" should be understood as data that enables the sample 10 to be identified from among the set of samples 10.

[0033] The identifier 10A is displayed on the sample 10. For example, the identifier 10A is marked on the sample 10 or is integral with the sample 10.

[0034] Advantageously, the identifier 10A of each sample 10 is unique.

[0035] For example, the identifier 10A is selected from a list including numbers, a series of alphanumeric characters, barcodes, radio identification markers (RFID chips), near-field communication markers (NFC chips), and markers enabling visual identification. For example, the barcode is a QR (Quick Response) code.

[0036] The identifier 10A of each sample 10 is associated with colorimetric data representing the reference color of the sample 10, so-called sample reference data D ref_E For example, the sample reference data D ref_E is obtained through measurement by a spectrophotometer.

[0037] The sample reference data D of each identifier 10A ref_E is stored in the database 11. Therefore, by knowing the identifier 10A, the sample reference data D ref_E is obtained, for example, via a lookup table stored in the database 11.

[0038] Figure 2 shows an example of a device 12 for determining parameters regarding the color tone of an individual's body zone.

[0039] The device 12 includes a sensor 13 and a computer 14.

[0040] The sensor 13 can acquire an image of the environment.

[0041] For example, the sensor 13 is a video camera or a camera.

[0042] Computer 14 can interact with computer program product 18. Through the interaction between computer program product 18 and computer 14, steps of a method for determining parameters related to the color tone of an individual's body zone can be implemented.

[0043] For example, computer 14 is a computer. More generally, computer 14 is an electronic computer that can process and / or convert data represented as electronic or physical quantities in the registers and / or memory of computer 14 into other similar data corresponding to physical data in memory, registers, or other types of display, transmission, or storage devices.

[0044] Computer 14 includes a processor 20 having a processing unit 22, a memory 24, and an information medium reader 26. In the example shown in FIG. 2, computer 14 also includes a human-machine interface 27 having, for example, a keyboard 28 and / or a touch sensor interface and a display 30.

[0045] Computer program 18 includes machine-readable information support. A machine-readable information medium is a medium that can be read by computer 14, usually by the processing unit 22 of computer 14. A machine-readable information medium is a medium adapted to store electronic instructions and can be coupled to the bus of a computer system.

[0046] For example, a machine-readable information medium is a USB flash drive, a floppy disk or flexible disk (the "floppy disk"), an optical disk, a CD-ROM, a magneto-optical disk, a ROM memory, a RAM memory, an EPROM memory, an EEPROM memory, a magnetic card, or an optical card.

[0047] A computer program containing program instructions is stored in a legible information support. The computer program can be loaded into the data processing unit 22 and is adapted to perform at least one of the steps of a method for determining parameters related to the color tone of an individual's body zone.

[0048] The determination device 12 has access to a database 11 in which an identifier 10A and corresponding sample reference data D ref_E are stored.

[0049] For example, the database 11 is stored in a remote server of the determination device 12, and thus access to the database 11 is performed according to a wireless transmission protocol or according to a cellular telecommunications network protocol. For example, the wireless transmission protocol is established according to the standards of the IEEE 802.11 (Wi-Fi) section or the IEEE 802.15 (Bluetooth) section. For example, the cellular telecommunications network protocol is established according to the GSM (Global System for Mobile Communications) standard or according to UMTS (Universal Mobile Telecommunications System), 4G, or 5G technology.

[0050] Alternatively, the database 11 is stored in the memory 24 of the computer 14 and is made directly accessible by the computer 14 without any wireless transmission protocol or cellular telecommunications network.

[0051] In an example of one implementation form, the determination device 12 is a connected object. For example, the determination device 12 is a smartphone, a tablet, a connected mirror, or any other connected object equipped with an image acquisition sensor. In this case, the sensor 13 and the computer 14 are essential parts of a smartphone, a tablet, a connected mirror, or more generally a connected object.

[0052] Next, an example of an implementation form of a method for determining parameters related to the body zone, particularly the color tone of an individual's hair and the like, will be described with reference to the flowchart of FIG. 3 and the explanatory diagram of FIG. 4.

[0053] The determination method includes step 100 of selecting an individual sample 10 from among the set of samples 10.

[0054] It should be understood that "for an individual" means that the selection is made while considering the individual's desires and / or needs. Therefore, the selection will, deductively, vary from individual to individual. In this way, the selection is unique to a given individual. In particular, such a selection is made possible by the specific reference colors of different samples 10 in the set.

[0055] The selection is made by the individual himself or a third party, taking into account the individual's desires and / or needs. For example, the third party is a beauty professional such as a cosmetologist, stylist, esthetician, or makeup artist.

[0056] For example, in the context of dyeing hair (or more generally, hair), the selection consists of selecting a sample 10 corresponding to the target dyeing color. Alternatively, the selection consists of selecting a sample 10 corresponding to the natural color of the individual's hair or the current color of the individual's hair (especially when the hair has already been dyed).

[0057] In another example, when the body zone under consideration is the skin, for example, the skin of the face, the selection consists of selecting a sample 10 corresponding to the natural color of the skin or the target dyeing color of the skin (for example, in the case of foundation).

[0058] The example of FIG. 4 shows the selection of the upper left sample 10.

[0059] Thereafter, the determination method includes step 110 of obtaining an image, so-called initial image IM, which images both the personal body zone and the selected sample 10 by means of the sensor 13 of the determination device 12. In particular, the identifier 10A of the selected sample 10 is displayed in the initial image M.

[0060] For example, during this acquisition step 110, the sample 10 is placed next to the personal body zone (e.g., hair). Alternatively, the sample 10 is superimposed on the personal body zone.

[0061] The acquired initial image IM is shown in the example of FIG. 4.

[0062] The determination method includes step 120 of processing the initial image IM. The processing step 120 is carried out by a computer 14 that interacts with the computer program product 18, i.e., is carried out by a computer.

[0063] The processing step 120 is from the initial image IM - sample reference data D of the sample 10 imaged on the initial image IM ref_E and - colorimetric data representing the actual color of the sample 10 on the initial image IM, so-called sample actual data D r_E and makes it possible to obtain. In particular, the actual color takes into account the conditions (brightness, lighting, etc.) of the environment where the individual is located.

[0064] Sample reference data D ref_E and sample actual data D r_E It should be understood that each of can actually correspond to a data set. For example, in the spatial CIE L*a*b, each of these data corresponds to data regarding lightness L, data regarding parameter a*, and data regarding parameter b*.

[0065] In an example of an implementation form, the sample reference data D ref_Eis obtained according to the identifier 10A of the sample 10 and the database 11 accessible to the computer 14.

[0066] In an example of the implementation form, the processing step 120 highlights the sample 10 on the initial image IM and determines the sample actual data D on the part of the initial image IM that characterizes the sample 10. r_E including.

[0067] For example, the highlighting is performed by segmentation, whereby the sample 10 can be extracted from the rest of the environment on the initial image IM. In another example, the highlighting is performed by extracting the zone around the identifier 10A of the sample 10 on the initial image IM after identifying the identifier 10A on the initial image IM.

[0068] Then, the sample reference data D is determined from the colorimetric data of the pixels corresponding to the detected zone. ref_E is determined.

[0069] In another example, the sample reference data D ref_E is obtained in the same manner as the method described in US Application US2020 / 342630 A.

[0070] The sample reference data D ref_E and the sample actual data D r_E form the parameters of the color tone of the individual's body zone. Therefore, such parameters can be used to determine a color tone suitable for the individual, taking into account the differences in rendering due to the environment.

[0071] Optionally, the determination method includes a step 130 of determining the influence of the environment on the colorimetric rendering of the individual's body zone. The determination step 130 is performed by the computer 14 that interacts with the computer program product 18, that is, by the computer.

[0072] The determination step 130 is the sample reference data D ref_E and the sample actual data Dr_E It is carried out by comparing the following.

[0073] For example, a color measurement mismatch parameter can be obtained by comparison. In particular, the color measurement mismatch parameter depends on at least one quantity representing the color measurement space. For example, in the spatial CIE L*a*b, the deviation parameter follows at least one of the lightness L, the parameter a*, and the parameter b*.

[0074] For example, the color measurement mismatch parameter is obtained by the following formula.

[0075]

Equation

[0076] In the formula, ·ΔE represents the color measurement mismatch parameter, also called the error or deviation, between the sample reference data D ref_E and the sample actual data D r_E ; ·ΔL* is the difference between the lightness of the sample reference data D ref_E in the spatial CIE L*a*b and the lightness of the sample actual data D r_E ; ·Δa* is the difference between the parameter a* of the sample reference data D ref_E in the spatial CIE L*a*b and the parameter a* of the sample actual data D r_E ; ·Δb* is the difference between the parameter b* of the sample reference data D ref_E in the spatial CIE L*a*b and the parameter b* of the sample actual data D r_E .

[0077] Preferably, the determination step includes the step 140 of virtual fitting ("fitting") of the selected sample 10. The virtual fitting step 140 is carried out by the computer 14 that interacts with the computer program product 18, that is, carried out by the computer.

[0078] The virtual try-on step 140 modifies the initial image IM according to the sample actual data D such that the color of the individual's body zone on the initial image IM is replaced by the actual color of sample 10 on the initial image IM. The modified initial image IM forms the rendering image IM r_E R R R R An example of the rendering image IM is shown in FIG. 4.

[0079] In some cases, during this step 140, a rendering model such as that described in document US20200160153 A or US 9449412 B is applied to improve the virtual try-on.

[0080] The virtual try-on step 140 also includes displaying the rendering image IM on a display such as the display 30 of the computer 14. R R

[0081] Preferably, the determination method includes a step 150 of determining the color tone regarding the individual's body zone after receiving a command to verify the rendering image IM. The determination step 150 is performed by the computer 14 that interacts with the computer program product 18, i.e., is performed by the computer. R

[0082] For example, the verification command is sent to the computer 14 by the individual or another person (cosmetologist) via the human-machine interface of the computer 14. The command indicates that the colorimetric rendering of the selected sample 10 is suitable for the individual and may serve as a basis for the determination of the color tone.

[0083]

[0084] ref_E r_E The color tone is determined according to the initial image IM, the sample reference data D, and the sample actual data D.

[0084] In particular, in an example of an implementation form, the determination step 150 is colorimetric data representing the actual color of the personal body zone on the initial image IM, so-called personal actual data D r_I including determining. For example, personal actual data D r_I is the same method as sample actual data D r_E (on the initial image IM, the pixels corresponding to the personal body zone are highlighted, and the colorimetric data of those pixels is extracted) and is obtained.

[0085] After that, according to the personal actual data Dr_I , sample reference data D ref_E , and sample actual data D r_E , the color tone regarding the personal body zone is determined. In particular, in an example of an implementation form, the determination step 150 further includes determining a colorimetric mismatch according to sample reference data D ref_E and sample actual data D r_E . For example, the colorimetric mismatch is the one determined during the determination step 130.

[0086] After that, the determination step 150 includes determining colorimetric data representing the reference color of the personal body zone, so-called personal reference data D r_I according to the personal actual data D and the mismatch. Personal reference data D ref_I is the color of the personal body zone obtained based on sample reference data D ref_I after correcting the conditions (brightness, lighting, etc.) of the environment where the individual is located. ref_E

[0087] After that, according to the personal reference data D ref_I and sample reference data D ref_E , the color tone of the personal body zone is determined.

[0088] For example, the color tone is determined according to a method as described in application WO 2020 / 193654 A.

[0089] ​Therefore, by this method, parameters useful for determining a color tone suitable for an individual's body zone, such as hair, can be easily obtained.

[0090] In particular, with the initial image IM, both the reference color and the actual color (due to rendering in the environment) of the sample can be obtained. From these data, it is also possible to infer information regarding rendering conditions (lighting, brightness), improving the accuracy of the colorimetry rendering determined later. In particular, these data can then be used to supply a virtual try-on engine or to determine the color of an individual's body zone or the desired color tone of an individual's body zone.

[0091] Furthermore, since data is acquired via image capture, the implementation of this method is very simple.

[0092] Therefore, by such a method, it is possible to facilitate and improve the accuracy in determining parameters regarding the color tone of an individual's body zone, and in particular, the selection of coloring products for hair, where the effect appears almost immediately upon application and it is difficult to change instantaneously.

[0093] Those skilled in the art will understand that the embodiments described above can be combined to form new embodiments when they are technically compatible.

Explanation of Reference Numerals

[0094] 10 Sample 11 Database 12 Device 13 Sensor 14 Computer 18 Computer Program Product 20 Processor 22 Processing Unit 24 Memory 26 Information Medium Reader 27 Human Machine Interface 28 Keyboard 30 Display

Claims

1. A method for determining parameters related to the color tone of an individual's body zone, such as hair, skin, nails, etc., comprising: a. A step of selecting a personal sample (10) from a set of samples (10), wherein each sample (10) in the set is a sample representing a body zone, has a reference color different from other samples (10), each sample (10) has an identifier (10A) displayed on the sample (10), and the identifier (10A) of each sample (10) is colorimetric data representing the reference color of the sample (10), so-called sample reference data (D ref_E ), is associated with each identifier (10A), and the sample reference data (D ref_E ) of each identifier (10A) is stored in a database (11), the step of selecting, b. obtaining, by a sensor (13), an image, so-called initial image (IM), that images both the selected sample (10) and the corresponding body zone of the individual; c. processing the initial image (IM) by a computer (14), the processing step being for obtaining, i. The sample reference data (D ref_E ) of the sample (10) imaged on the initial image (IM), according to the identifier (10A) of the sample (10) and the database (11) accessible by the computer (14), ii. The colorimetric data representing the actual color of the sample (10) on the initial image (IM), so-called sample actual data (D r_E ) and processing step for obtaining, said sample reference data (D ref_E ) and said sample actual data (D r_E ) form parameters related to the color tone of the body zone of the individual, processing step and A method comprising.

2. The method, by the computer (14), compares the sample reference data (D ref_E ) with the sample actual data (D r_E ) to determine an influence of the environment on the colorimetric rendering of the body zone of the individual, the method according to claim 1, comprising the step of

3. The method includes a. A step of modifying the initial image (IM) according to the sample actual data (D r_E ) such that the color of the body zone of the individual on the initial image (IM) is replaced by the actual color of the sample on the initial image (IM), wherein the modified initial image (IM) forms a rendering image (IM R ), the step of modifying; b. displaying the rendering image (IM R ) on the display (30); The method according to claim 1 or 2, further comprising a step of virtual fitting of the selected sample (10).

4. When the method receives a command for verifying the rendering image (IM R ), the computer (14) determines the color tone of the body zone of the individual according to the initial image (IM), the sample reference data (D ref_E ), and the sample actual data (D r_E ). The method according to claim 3 includes this step.

5. The step of determining the color tone is colorimetric data representing the actual color of the body zone of the individual on the initial image (IM), so-called individual actual data (D r_I ), and the step of determining the color tone of the body zone of the individual is based on the individual actual data (D r_I ), the sample reference data (D ref_E ), and the sample actual data (D r_E ), and the method according to claim 4, comprising the step of determining.

6. The step of determining the color tone further includes a. determining a colorimetric mismatch between the sample reference data (D ref_E ) and the sample actual data (D r_E ); b. said personal actual data (D r_I ) and, in accordance with said discrepancy, determining colorimetric data representing a reference color of said body area of said individual, so-called individual reference data (D ref_I ) further including said personal reference data (D ref_I ) and said sample reference data (D ref_E ), the color tone of the body zone of the individual is determined in accordance with The method according to claim 5.

7. The step of processing highlights the sample (10) on the initial image (IM) and determines the sample actual data (D r_E ) over a portion of the initial image (IM) that characterizes the sample (10), the method according to any one of claims 1 to 6.

8. The highlighting is performed by segmentation or by extraction of the zone around the identifier (10A) of the sample (10) on the initial image (IM) after identification of the identifier (10A) on the initial image (IM). The method according to claim 7.

9. The sample (10) is selected from a list including a photograph, a post-it, a fabric, a figurine, a miniature product, a hair tuft, an artificial skin sample, fake eyelashes, fake eyebrows, or a fake nail, etc., an actual or fake sample of a part of the human body. The method according to any one of claims 1 to 8.

10. The identifier (10A) is selected from a number, a series of alphanumeric characters, a barcode, a radio identification marker, a near-field communication marker, and a marker enabling visual identification. The method according to any one of claims 1 to 9.

11. After selecting a personal sample (10) from a set of samples (10), a device (12) for determining parameters regarding the color tone of a personal body zone, such as hair, skin, or nails, wherein each sample (10) of the set is a sample representing a body zone and has a reference color different from other samples (10), each sample (10) has an identifier (10A) displayed on the sample (10), and the identifier (10A) of each sample (10) is associated with colorimetric data representing the reference color of the sample (10), so-called sample reference data (D ref_E ), and the sample reference data (D ref_E ) of each identifier (10A) is stored in a database (11), and the device (12) is a. a sensor (13) capable of obtaining an image, so-called initial image (IM), that images both the selected sample (10) and the corresponding body zone of the individual; b. a computer (14) having access to the database (11), the computer (14) being configured to process the initial image (IM) for obtaining, i. the sample reference data (D ref_E ) of the sample (10) imaged on the initial image (IM) according to the identifier (10A) of the sample (10) and the database (11) accessible by the computer (14), ii. The colorimetric data representing the actual color of the sample (10) on the initial image (IM), so-called sample actual data (D r_E ) and configured to process the initial image (IM) for obtaining, said sample reference data (D ref_E ) and said sample actual data (D r_E ) form parameters related to the color tone of the body zone of the individual computer (14) and A device (12) comprising.

Images