WO2001075796A1

WO2001075796A1 - Digital remote data processing system for transforming an image, in particular an image of the human face

Info

Publication number: WO2001075796A1
Application number: PCT/FR2000/000795
Authority: WO
Inventors: Lucette Robin
Original assignee: Lucette Robin
Priority date: 2000-03-30
Filing date: 2000-03-30
Publication date: 2001-10-11
Also published as: AU3662600A

Abstract

The invention concerns an intelligent digital remote data processing system for virtually, automatically, almost instantaneously and very accurately transforming real initial target image(s), for example a human face and certain characteristics (hair, lip and so on), by detecting, analysing and recognising its fine characteristics and respective textures, completed by an assisting and correcting system, of drawing tools, photographic retouches, colouring integrating automated colour and texture effects, completed by a virtual selection tool which enable to apply elaborate transformation, in accordance with established rules, in the outlined and marked parts.

Description

25

claims

1 - Automatic completion Performs aesthetically perfect virtual images, used among others on the Internet network, α captuie from digital photography color ^of a face, characterized in that it comprises the steps to automatically detect the a face image, automatically segmenting the image, automatically determining, in a first ^acquisition phase, the histograms of color levels of said segments to determine caractenstiques purposes facial features and skin structure, and texture of the hair, cornger, using an aid and correction system, in an exceptional case where the fine characteristic features of the face and its skin structure, and the texture of the hair could not be correctly determined, proceed automatically during a transformation phase, to the modification or to the aesthetic improvement of the characteristic features of the image and of certain skin colors born, from the hair, according to the selection cnteres determined by an expert system animated by a reference engine by relying on one or more databases of thousands of combinations of shapes, color harmonies and of their respective textures, automatically proceed, at the end of the transformation phase, to personal modifications of the new aesthetic image of the face, using a virtual selection tool, making it possible to modify the fine characteristics of this image using colors and their textures, and shapes, selected and determined beforehand by the expert system animated by a reference engine by relying on one or more databases of several thousand combinations of shapes, of color harmonies and their respective textures 2 - Method according to claim 1, wherein after determining the histograms of the color levels of the facial features, we proceed according to the program of the expert system to a recognition of the facial structures by looking in two predefined directions for the places of discontinuity of the histograms of the color levels which will lead to positioning the different elements of the face in relation to others, to determine the characteristic features of the face (nose, eyebrow, eyes, lips, etc.) and to generate "geometric" pnmitives

3 - Process according to claim 2, in which the contour recognition of the shapes which make up the image is obtained by the analysis of the equivalent colors corresponding to each elementary segment of the image, the tracing is carried out using contour following automata, and in which when the shape or context of the area is delicate, the contour drawing is obtained, by calculating and mathematically applying a parabola on the element previously and approximately recognized in each segment whose will statistically deflect the curve, point by point, according to the average and the coefficient of variation of the color levels of each line of this zone, until each of the points precisely and finely borders the contour, and in which the drawing of the newly obtained contour is again compared statistically to its virtual "template" model of the object or of the corresponding element, until perfect correlation. 4.- Method according to any one of claims 1 to 3. characterized by the use of decision criteria of the expert system to choose a cosmetic technique intended to correct irregularities in skin texture.

5.- Method according to any one of claims 1 to 3, characterized by the loading into the database of information concerning the changes in color of the skin tissue or skin spots corresponding to a set of dermatological character allowing to suggest the treatment to be carried out thereafter.

6.- Method according to any one of claims 1 to 3, characterized by the loading into the database associated with the expert system of rules concerning the corresponding plastic surgery techniques. 7.- Method according to any one of claims 1 to 3, characterized by the loading into the database associated with the expert system of rules concerning cosmetic techniques, infographics and algorithmic elements relating to the calculation of the corresponding textures.

8.- Method according to any one of claims 1 to 3, characterized by the loading into the database corresponding to the aesthetic simulation of a face of a set of aesthetic rules relating to spectacle frames, colored lenses and coloring contact lenses.

9.- Method according to any one of claims 1 to 3, characterized by the loading into the database corresponding to the aesthetic simulation of the face of a collection of aesthetic rules concerning the modeling of hairstyles and the color of the hair allowing simultaneously treat the face and the hair part.

10.- Method according to any one of claims 1 to 3, characterized by the loading into the database corresponding to the aesthetic simulation of a face, of a set of aesthetic rules concerning jewelry and ornamental accessories .

11.- Method according to any one of claims 1 to 3, applied as a sales assistance and animation tool making it possible to process on a point of sale or an Internet network, simultaneously the simulation of the image. aesthetic and proposition personalized aesthetic advice, characterized by loading into the database corresponding to the simulation and proposal and order management, aesthetic rules corresponding to the field of activity of the manufacturer or distributor, supplemented by a set marketing, promotional, statistics and order and sales management rules.

12.- Method according to any one of claims 1 to 3. characterized by the loading in the database (s) of information data of the characteristic features and dimensions (shapes, eye spacing, height, width, etc.). ., colors etc.) of one or more known faces for comparison. 13.- Method according to any one of claims 1 to 3, characterized by the loading into the database of techniques implemented by psychologists, morphopsychologists, proposals for aesthetic advice which have been determined, as well as reactions observed and recorded.

14.- Method according to any one of claims 1 to 3, characterized by loading into the database by makeup techniques, and coloring, models, and accessories of ornaments.

15.- Method according to any one of claims 1 to 3, characterized in that a color photograph of a face provided on all supports (Argentine paper, slides etc.) and of all formats (identity, portrait etc.) is digitized by a high definition scanner, then is retouched and improved aesthetically, even archived, and in which the database is completed by cosmetic techniques, computer graphics and modeling.

16.- Device for implementing the method according to any one of claims 1 to 15, characterized in that it comprises a digital multimedia terminal and tele-communicating in which all the databases as well as the system of 'archiving are stored on a remote Internet server which is accessed via the Internet; the device essentially comprising an Intel 486 DX2 or Pentium or equivalent microprocessor, of 60Mhz power and higher coupled to a Ram memory of at least 32MB and a video memory of at least 4MB, having a floppy drive / recorder, a hard disk, a Digital Virtual Disk (DVD), digital storage means, an electronic hard disk memory (hardship disk), of at least 100 megabytes of capacity, at least one digital CCD video sensor of the type used in video communication coupled to its video interface or a color scanner, a reflecting or semi-reflecting mirror with 50% retraction power or not, a color touch screen or not at least 14 inches in size of diagonal screen, can be plasma technology or active matrix liquid crystal with its specific video / graphic interface allowing a minimum resolution of VGA display of 640 x 480 dots and 256 colors, even 1280 x 1024 dots and u do depth 24-bit colors (16.7 million colors) or more, a keyboard and mouse, or a remote control (infrared or radio frequency), or a voice recognition system (voice control), a modem a speed of at least 55.6K.bits PSTN or digital ISDN type, a color printer type liquid or solid inkjet, or thermal sublimation, or laser or any other means of color editing, a language called Transmission Control Protocol and Internet Protocol (TCP / IP), a union of processes forming a basis for transferring data over the Internet, navigation software such as Netscape, Internet explorer etc., a set of tools for capturing digital images, a automatic recognition engine configured to interface and interact interactively with the class 0+ or 1 expert system and its database (s), and an editing module that will generate the results obtained, in the form of a brochure in color of the re image it initial and the new virtual image and certain comments relating to artistic or technical criteria in the field in which this image could have been created, this tele-communicating multimedia terminal being connected transparently to one or more Internet servers which are computers of the Internet or World Wide Web which is a device, on the scale of the Internet allowing, to generate a fabric of very varied publications endowed with an increasing number of multimedia and intelligent functions, these servers having the resources of the TCP / LP, the description language used for the presentation of information (HTML) from the World Wide Web, the HTTP (Hyper Text Transfer Protocol) protocol for the transmission of data, one or more expert systems of class 1 equipped with a or several databases, and driven by an inference engine, that is to say a powerful deductive system independent of the database, and coloring and drawing tools for transformation, this expert system being an interactive interface with the recognition tool, that is to say that it is capable of processing the information coming from it and to send him back the orders and the tools he deducted for the transformation of the image.

TELEINFORMATICS AND DIGITAL SYSTEM FOR TRANSFORMING AN IMAGE, ESPECIALLY THE IMAGE OF A HUMAN FACE.

The present invention relates to an intelligent computer and digital tele system making it possible to transform virtually, automatically, almost instantaneously, and very precisely the initial image (s) of a real target, for example a face. human and some of its characteristics (hair, lips etc.), by detecting, analyzing and recognizing its fine characteristics and their respective textures, supplemented by a help and correction system, drawing tools , retouching of photographic images, coloring integrating color effects of automated textures, supplemented by a virtual selection tool which will allow to apply a meticulous transformation, according to established rules, in the previously identified and outlined parts.

We know it exists in ^the techniques of computer graphics, and especially in ^the art of make-up, a number of equipment designs and manual or automated coloring. This equipment makes it possible to modify the initial image of the face of an individual and at the same time, and to deduce therefrom manually or automatically a randomly aesthetic image, even imprecise for the application of makeup drawings on the previously identified surfaces and Clipped. Also, existing processes only color by restoring colors laid flat on the image, without seeking to particularize them by their original texture aspect when this is the case. These systems can neither restore colors in their original texture aspect, nor apply them in the context of an image (light, shadow, etc.). Virtually transformed images are bland, with no relief effect. This handicap considerably harms the seller or commercial impact of a product, for example in ^the art of makeup, lipsticks that use multiple textures such gloss, matte, etc., or some hair coloring products shiny texture or with multiple reflections. These individual processes are more or less rapid and require the use of heavy and specialized fixed equipment which is in the form of a cabin or a console equipped accordingly, and which can be used particularly, or even exclusively by necessity on a specific location (store). The size, the difficulties of ^maintenance, distribution (languages, places, accessibility, media) and the cost of such equipment does not permit a widely popularized use or household of the device around the world immediately. In case of failure detection, ^analysis, or recognition, there is no intelligent system to assist and correct these operations. There is also no automatic generation of a personalized color / product palette in harmony with a subject's face. Still in this process, the existing devices do not allow a subject, when he obtains the virtual transformation of his face, for example for a makeup or a hair coloring, to choose, to almost instantly select and modify the aesthetic characteristics of its new virtual image using a virtual selection tool integrating a palette of harmony and custom. Finally, the restitution of colors in their real aspects and textures (shine, matte, powdery, reflections etc.) is an operation which requires the use of many computer graphics and algorithmic tools which performed manually, is practically impossible in a very short time. short, and involves several delicate and tedious operations, or even very random precision depending on the skill of the skilled person.

Finally, access to data is limited by the local storage capacity of a booth or the computer system.

The present invention therefore relates to a method and a device enabling several thousand, even several million users, anywhere in the world, at the same time and in a few seconds, to translate virtually, by microcomputer, tele computer means. and simplified digital, the representation and visualization of their new images which is as precise and realistic as possible aesthetically in the expression they wish to give themselves, from an initial target, a face for example.

The invention can be used from home or at any other suitable place in the world. It does not require the technical complexity of a cabin and access to data is no longer limited.

Help and correct the detection, analysis and recognition of a face, for example.

Automatically restore colors to their original texture aspects for spectacular and truly realistic virtual effects. To offer personalized palettes in harmony with the characteristics of his face.

To choose, select and modify almost instantly the aesthetic characteristics of your new virtual image using a virtual selection tool integrating a palette of harmony and custom. The device used is, in its first destination, in the form of a digital multimedia and telecommunication terminal or console (dressing table, for example). In order to miniaturize the device as much as possible, all the databases as well as the archiving system can be stored on a remote Internet server which is accessed via the Internet. It essentially comprises an Intel 486 DX2 or Pentium or equivalent microprocessor, of 60Mhz power and higher, coupled with a 32MB RAM memory and a 4MB video memory, with or without: a drive / disk recorder or a hard disk or a Digital Virtual Disk (DVD) or other means of digital storage such as a hard disk electronic memory (hardship disk), ^at least 100 megabytes of capacity, at least one CCD digital video sensor of the type used in video communication coupled with its video interface or a color scanner, a reflecting or semi-reflecting mirror with 50% of power of retraction or not. a color touch screen or not at least 35 cm in diagonal screen size, which may be plasma or liquid crystal technology with active matrices with its specific video / graphic interface allowing a minimum VGA display resolution of 640 x 480 dots and 256 colors, or even 1280 x 1024 dots and a color depth of 24 bits (16.7 million colors) or more, a keyboard and its mouse, or a remote control (infrared or radio frequency), or a voice recognition system ( voice control), a modem with a speed of at least 55.6Kbits PSTN or digital ISDN type, a color printer type liquid or solid inkjet, or thermal sublimation, or laser or any other means color editions, a language called Transmission Control Protocol and Internet Protocol

(TCP / TP), union of processes forming a basis for data transfers over the Internet, navigation software such as Netscape, Internet explorer etc., a set of tools for capturing digital images, a configured automatic recognition engine to interface and interact interactively with the class 0+ or 1 expert system and its database (s), and an editing module that will generate the results obtained, in the form of a color plate of the initial real image and the new virtual image and certain comments relating to artistic or technical criteria in the field in which this image could be created.

This telecommunicating multimedia terminal is connected transparently to one or more Internet servers which are computers on the Internet or World network.

Wide Web which is a device, on the scale of the Internet allowing, to generate a fabric of very varied publications endowed with an increasing number of multimedia and intelligent functions. These servers have the resources of the TCP / IP language, the description language used for the presentation of information (HTML) from the World Wide Web, the HTTP protocol (Hyper Text Transfer Protocol) for the transmission of data, from one or more systems. Class 1 experts equipped with one or more databases, and driven by an inference engine, that is to say a powerful deductive system independent of the database, and coloring and drawing tools for transformation. This expert system interfaces interactively with the recognition tool, that is to say that it is capable of processing information in its own right. from and to transmit back orders cl tools ^that he deducted for the transformation of ^the image.

Conversely, this device implemented as described above, can be modulated according to the case and the circumstances. Thus, it can take two other different usage configurations, without hardware modification, and distinct:

In its second destination, it takes the form ^of a very simple terminal, that is to say, it has no software tool except a system to access and browse the Internet, it is connected continuously or on demand over the Internet to one or more Internet servers that will allow him to use a set of tools to capture ^digital images, an automatic recognition engine configured to interface and interactively in dialogue with the expert system class 1 and its database, and a ^module for editing results that generate the results, in the form of a color brochure of the original real image and the new virtual image and some comments on the artistic criteria or techniques of the area or areas in which this image could have been created

In its third destination, it takes the ton of an autonomous intelligent terminal, that is to say that it has all the integrated software tools, that is to say that it has in memory a system allowing it to '' access and browse the Internet, a set of digital image capture tools, a detection, recognition and automatic analysis process interactively with its expert class 0+ or 1 system, and its database and ^a publishing module that will generate the results, in the form ^of a color brochure of the original real image and the new virtual image and some comments on the artistic and technical criteria or fields in which this image could have been created. In its first destination, the present invention therefore relates to a process which can be distributed and accessible everywhere in the world, and by several thousand or even several million users to both from a data communications process and compact multimedia and very low cost, to transform automatically, by an automated process and quick steering ^tools drawings, photographic retouching and coloring, the actual initial image of a target, such as a face, a new but virtual image generated through a variety of possible combinations derived from ^the phrase in which one wishes to see virtualize, wherein the initial and real image, captured at least by a digital color CCD video sensor of the type used in video communication coupled to its video interface or a color scanner, is analyzed and recognized in its context, for example such as a human face, segmented , then in that we determine the set corresponding fine characteristics of this image by recognizing shapes, zones, colors, dimensions, textures and contours, and finally that some of these characteristics are modified, according to the resources available through Internet servers distant, using decision criteria from one or more expert systems, provided with one or more knowledge bases enriched with multiple combinations and harmonies corresponding to an expression in one or more fields which will then allow the tools to coloring, photo editing and drawings automatically and digitally modify the points of the initial image, in areas and contours previously detected and adequate, corresponding to the transformation of ^the original real image and in a new virtual image in an expression given. Permit if ^it is the case, to automatically restore color in aspects of their original textures in a specific context, for spectacular and really realistic virtual effects. To ^offer custom colors in harmony pallets with facial features of a subject. Leaving the possibility for a user to change almost instantly ^the image of this newly simulated face from ^a selection tool that offers him, from a range personalized in perfect harmony with that face, the choice to modify and '' try the colors plus their textures, and the products of one manufacturer or several manufacturers at the same time and in different activities, for example make-up and hairdressing.

The connection of the console to the server resources is made by means of a modem with a speed of at least 55.6Kbits PSTN or digital ISDN type or of another telecommunication process (radio frequency etc.), d '' an Internet address which geoinformatically locates the specialized server site for this or these operation (s) in the WEB, a language called Transmission Control Protocol and Internet Protocol (TCP / IP), union of processes forming a basis for data transfers on the Internet , a navigation software such as Netscape, Internet explorer etc.

As soon as the terminal is powered up, it becomes active, ie it is ready to transmit its requests and receive resources from one or more identified servers or that the user indicates to it. In a hypermedia environment, the tools will allow the capture of the color image which will be obtained in a few seconds using at least a digital color CCD video sensor of the type used in video communication coupled to its color coded digital video interface on 16 bits at least or from the color scanner, in good conditions of shooting and lighting suitable or not. In its second destination, the terminal connects to one or more dedicated Internet servers on which the tools and data are available. This connection is made to the means ^of a modem for ^a speed of at least 55.6Kbits PSTN or digital ISDN or other telecommunication means (radio frequency etc.), an Internet address which is the geo-computationally server site suitable for this operation in the WEB, a language called Transmission Control Protocol and Internet Protocol (TCP / IP), union of processes forming a basis for data transfers on the Internet, navigation software such as Netscape, Internet explorer etc.

In its third destination, the terminal works locally without a permanent Internet connection. The terminal has locally for all shooting tools, detection, recognition, ^analysis, assistance and corrections, a Class 0+ or 1 expert system with its database and a results editing module. The terminal connects to one or more Internet servers to carry out update or cleaning or enrichment operations on its local database. It is from an image, previously recognized, a face for example, sized and segmented by specific zones, that the method and the device according to the invention will allow in its context to transform it into the desired expression.

The process essentially comprises four phases whatever the destination of the terminal:

- An acquisition phase: recognition, analysis, detection of areas, shapes, textures and contours of a digitized color photographic image are carried out using deductive, algorithmic and deductive techniques . - A phase transformation is performed ^the extraction of data from the acquisition phase transmitted 0+ Class 1 or expert system as appropriate. The data are then processed by the class 0+ or 1 expert system according to the decision criteria established in a rule base and the information contained in the database or knowledge, which will lead to the transformation of the characteristics of the initial image. Certain colors depending on the context will be analyzed and recaracterized according to a particular texture (shiny, matte, powdered etc.). The results from processing by the class 1 expert system will then be retrieved and processed using the drawing, segmentation and tonne recognition tools. - A restitution phase or virtual "flash" proposal: the initial image will be transformed on the terminal screen or the console mirror, which will lead to get the new virtual image in the expression ^that was desired. This image is displayed in color.

- A phase of games and final choice: the process appears on ^the screen a virtual selection tool consists ^of a custom palette that is essentially characterized by a range in perfect harmony with his face eg (colors, products, objects, accessories). Thus, the user will be able to modify the simulated virtual image, by testing the harmonic and personalized choices offered to him on the screen. This will change the areas of ^the image automatically in seconds and will lead ^the user either to accept the image from the virtual proposal "flash" or the news he will be reconstructed using virtual tools available. ^The final image and its technical characteristics are then edited on A4 paper, for example, locally or on another site and on all media available.

During the first phase, the user will photograph or digitally record the color image of his face which will be displayed in a framing test pattern, provided for this purpose on the screen, via the shooting tool. The image will be automatically flipped to be right, i.e. the left side of the face image is on the left, and the right side of this same image is on the right. This operation, which only lasts a few seconds, will automatically activate the image processing tools. During the second phase, the image processing tools will coordinate several successive operations:

Initially, it detects that the initial image is indeed present and coιτectement framed in the test pattern.

Secondly, it detects and recognizes areas and contours.

When the tool has determined the top and bottom of the face, as well as the sides, it can, thanks to precise dimensional criteria, determine the sex, even the type to which the face belongs (woman, man, adult, child,).

To this end, the histograms of the 256 (16.7 million) colors are considered according to the display and resolution power of the video card, coded on 16 or 24 bits, fitted to the terminal, corresponding to each elementary segment of the image. By following two preferred directions (vertical and horizontal for example), it determines the points where the histograms undergo a discontinuity and the points where the histograms pass through minima or maxima so as to optimize the method, the derivatives of the variance will be determined. , the mean and the coefficient of variation of the color levels of each image line. We thus arrive at precisely determining the areas, pi ocède detection and ieconnaissance areas and contouis ^The couleui image of the face thus detected is an ETI horizontally segmented into six random areas. Thus, ^the tool will detect the top and bottom of the face and the left side and the right side. A paitn of these elements, ^the tool will delimit (segmentei) image at least six honzontules areas starting pai the top and to the bottom face, and two vertical zones.

For hoπzontαles zones Zone 1 hair (upper face)

Zone 2. forehead

Zone 3 the eyes

Zone 4 low eye ^up to the tip which implicitly includes the cheeks and cheekbones nose area 5 to lip supéπeur

Zone 6 lip inféπeur ^up chin tip (lower face)

For vertical zones Zone 1 on the left side of the face Zone 2 on the right side of the face

Then, this operation will allow him to position the different elements of the face in relation to each other, to determine the shape and color of the characteristic features of the face (nose, eyebrows, eyes, eye color, lips etc.) and to generate "geoméu'iques pπmiuves"

It is thus easy to isolate the objects with respect to the mow. The regions of interest of the image are delimited. ^The tool can then extract the characteristics and automatically be trimmed tinesse and then extract the couleui s of each object such as eye color, that of the skin. During this operation, the tool can use automatic contour following machines or, to optimize its layout and its detection, virtual "template" models. These virtual "template" models will in this case be the "master standards" of the recognition and extraction of the contours of the object sought. These virtual "templates" models have statistical information on the tonne and the size of the object in question. That is to say that we have in memory, statistical and pedagogical coordinates of the drawing of the reference contour of each element or object targeted, for example a lip higher. The statistical data of the outline drawing that he will have extracted, must then be correlated with that of the drawing of the reference shape, of the corresponding virtual "template" model.

The observation of a face leads to theoretical reasoning, that all the elementary forms which characterize it are curved. When the shape or the context of the zone are delicate, in particular when the outline drawing happens to be outside the statistical limits of the outline drawing of a virtual "template" model, for example when it is about bad elements specified in a face (lips of a color very close to that of the skin for example), the outline drawing is obtained, by calculating and mathematically applying a parabola on the element beforehand and approximately recognized in one or more segments from which we will statistically deviate the curve, point by point, according to the average and the coefficient of variation of the color levels of each line of this zone, until each of the points draws with precision and finesse the contour. The drawing of the newly obtained contour is compared again with the virtual "template" model of the object or of the corresponding element until perfect correlation.

In all cases, the operation that is to segment or to extract and finely be trimmed tons of targeted objects in ^the image, generates the line of vertical and horizontal lines, for segmentation, as a green net and also for drawing the shapes of objects, the outline drawing appears in the form of a green net. It displays the overlay of ^the original image displayed on ^the screen of the terminal. The advantage of this operation allows the user to follow and participate fully in this phase, or even to interrupt it in the event of failure.

In the event of an exception, both detection and recognition may have failed, we then use the help and correction tool.

We use the help and coirection tool for detecting, analyzing and recognizing tonnes for certain cases. including to increase or decrease the surface of the face area to be analyzed, or in case ^of failure detection. The user will be able to operate and correct manually. The subject will then specify ^the location of the face in the image (detection of the face image) in recognition tool, and force him to inspect and analyze new areas or targets in the image of the face up 'to the success of the operation.

For this operation, the subject uses a manual tool to control the facial framing lines. The vertical and horizontal lines will be moved in a precise direction, to be positioned until framing edge to edge, and correctly the face, that is to say the top of the face (top of the hair), bottom of the face (tip of the chin), left and right sides of the face. Line shifting operations are carried out by means of a computer peripheral such as the tactile parts of the screen or the cursor keys on the keyboard or the ball of the mouse or the remote control or the voice. Then it will restart the detection, recognition and exuaction the characteristics of ^the image of the face.

In case of additional difficulty during detection and recognition, for example if the hair merges with the complexion of the face (very blonde type), we can operate according to two treatments:

During the first treatment, the horizontal lines and / or vertical will be positioned on ^the image of the face. By this operation, we will reduce the surface area of the face to be analyzed. In this case, the user will have to position the horizontal line from the top to the extreme limit of the hair and skin of the forehead, and no longer at the top of the hair. The subject can then initiate detection, recognition and ^extraction of image characteristics of the face. During the second treatment, at the end of the above operation, the subject will correct the area to be analyzed by repositioning the top line this time at the crown of the hair (origin), which will implicitly determine an area between the hair and the extreme limit of the forehead skin (former positioning). Thus the hair will be detected, recognized and analyzed. This intervention can be completed and reinforced by also using the two vertical lines.

It is quite conceivable that in ^the application process, ^the tool described above, may well be used from the start of the process during the shooting (digital photography in the sights of sight). Thus, instead of launching the process fully automatic, the subject can launch it in a semi-automatic mode. This mode can be selected according to several options: menu, function keys, voice command, etc. It fully utilizes the functions of the support ^tool. This mode can be used, for example, in case of doubt about the visual aspect of the image, the physiognomy of the face, background, etc., or in the event of voluntary limitation of the area to be analyzed.

Thirdly, the recognition and analysis of skin textures follows the recognition of shapes.

The degree of entropy of the texture of the skin is evaluated, which takes into account the importance of the organization or disorder of this tissue as well as the existence or absence of spatially repeating patterns.

We also reveal the presence of skin dislocations corresponding to scars, traces of rosacea, which may appear on the image. It also reveals the presence of artificial colors corresponding to makeup or hair coloring, which in this case will be corrected by removing the colors of operation in order to obtain ^the image ^of a virtually cleansed face or '' hair in its natural color while retaining texture effects (shine, etc.).

The tool also analyzes the dominant colors which appear in the different regions of the face (skin color, eye color, hair color, eyebrow color etc.), these criteria thus extracted will then make it possible to determine with accuracy the right corresponding colors, in a range for example, and in perfect harmony with this face.

This phase also includes a determination of the structural effects during which we generally assess the degree of homeomorphism of the tissues, the degree of image symmetry, and more particularly the degree of orthogonal symmetry when the object examined. is a face (chirality). In all these treatments, the quality of the image can be improved by eliminating or attenuating noise, and by analyzing and coixecting light, contrast, gamma, and focus. This quality can also be improved by the use of special effects applied to the image (soft focus, cross modification, integration of the image in an environment autte etc.) These transformations can be contextual, ^that is, to -dire that the parameter operators may vary according to an environment or ^a position relative to the frame of the image or with respect to the previously detected characteristic forms.

The tool improves image quality by automatically applying filters. Filters should be classified into two categories:

- The integration operator filters likely to attenuate the noises.

- Differentiation operator filters which, on the contrary, can enhance contrast, modify light, adjust gamma or focus, etc.

Depending on the case, these filters are applied locally or globally on the image and they must possibly take into account the local context of the image by taking into account its statistical properties.

These filters are intended for operations to be carried out in at least 256 colors.

In all cases, the application of these filters requires management of the intermediate "caches". During the transformation phase, the image recognition tools communicate all the data they have extracted, for analysis and processing by 0+ class expert system or 1. The expert system will then determine corrections and changes to ^the image in the theme chosen by the user. In the Internet environment, the class 0+ or 1 expert system will be able to strengthen part of its processing towards another class 0+ or 1 expert system located on another Internet server site and managing additional data. The results are then automatically sent for processing by ^the tool of image recognition.

During the transformation phase of ^the original image, the method brings improvements or effects that were previously desired by the user.

So for example, if it is a make-up operation, the traces of a previous make-up are eliminated, the eyes, the cheeks, the lips, the skin of the face will be remake according to the new colors and drawings.

If they are small wrinkles, they will be greatly reduced, etc.

Overall, this is to say that depending on ^the detection tool, recognition and image analysis completed by the decisions of the expert systems, and his or her databases, the fine facial characteristics are automatically modified and redefined automatically according to harmonic and personalized choices.

During this phase, all of the software tools automatically and in accordance with the rules of the art of the make-up profession, provide aesthetic improvements in the different regions of the face.

If the data required expert system inference may be incomplete or uncertain, ^the use of fuzzy logic is used to weight the premises of the rules and the rules themselves so as to infer even with incomplete data or imprecise. Cosmetic choices relating to make-up may thus be made even if all the necessary data are not precisely available.

In the decision phase, the following operations are also deducted.

The colors supplemented with their original textures, for example for makeup are analyzed, calculated and defined in their particular context (lipsticks or "Gloss" or powders etc.). The tools will then apply according to the texture of the area (lip, cheek, hair etc.) the color corresponding to the makeup, but also and transparently the effect of the cosmetic product, that is to say that the 'we will reproduce its real appearance, for example its shine, its powdery or shiny glittery appearance, its ate aspect etc. This operation takes into account the context of the image in each of its zones (lighting, brightness, shadows, reflections, etc.), which will allow using algorithmic tools to calculate the texture, to define it in its real appearance, such that it would be reproduced in reality. By this method, it significantly improves the quality and realistic properties of ^the image. Thus, during the restitution, one avoids putting the makeup colors in the form of a flat, which harms the conformity and the realistic, artistic and aesthetic realization of the makeup. By this operation, the colors and the finely reproduced make-up drawings fully respect the objectives of the art of make-up, bringing light, relief and realism to the new virtual image of the face.

The colors in harmony with the characteristics of the face are taken into account. The expert system determines a color palette among 256 (or more, up to 16.7 million) colors available, correlated with those of a range available in its available database (s), based on data from the recognition tool. Thus, during the restitution phase, the tool will be able to make a coloring proposal in harmony with the face for example, but also offer a selection of colors, from a range, in perfect harmony with this face. In the same way, the expert system will determine the seasonal trend that characterizes the subject. The trends can be of four types: summer, spring, winter, or fall, and each of its trends corresponds to appropriate colors, which allows the system to determine more precise harmonies.

The expert system prepares the virtual selection tool which integrates a personalized palette of choice from colors, products, accessories, objects, etc.

Thus, during the return phase, the user pouiτa automatically modify freely the new virtual image that was offered to him by ^the tool. In ^the art of makeup, this custom palette may take the form of three lines of selection, for example: Lips: 6 colors in shades brown with different textures (matte, glossy etc.) plus a choice of use of lip liner pencil

The eyes: 6 colors in blue and purple tones with duets (2 colors at the same time degraded on the eyelid)

Cheeks: 6 blushes in brown with different textures and aspects (transparent, dark, light, powdery, shiny, glittery, reflections, etc.)

The expert system will also prepare the drawing tools that will be used to apply certain colors to the face. For example in the art of makeup, the eyes can be painted shaped cat eyes, ^that is to say the colors asked of the outside of each eye must rack up as wing ending in a point. The lips can also be painted but also redrawn using color and a pencil. These drawings are pαiti uliei ei they are del inis to piealable to \ cc "the person skilled in the art" The expert system has in the database the drawings and law my appi opncs which caiacleiize themselves as being virtual gabants' piéalably delinis and which will be calculated and adjusted to the areas of the face in which they operate. in lonclion inloi ation of ^the tool icconnaissanee, the context of ^the image, and that they should let el suggéiei In the ^invention, poui more compi éhension, we call this feature the drawing tools and automatic settlement

The resutution phase leads ^to barking of a pai pai the aesthetic proposal caïaaeπsée tianstoimation ^the initial image in its new sui virtual image which appaïaîssent perfect harmony desired cosmetic changes and expiession that was desired (pai such a sophisticated makeup, complete with a rolled coittuie and ^a capillane couleui) This tiaduit pai display 256 minimum couleuis or 16.7 million or more.

Depending on the power ^of video interface / giaphique and quality îesolution and screen size couleui The makeup products and their corresponding colors can also be viewed or completed pai virtual selection tool that integrates a pallet peisonnαhsée of choice among colors, products, accessories, objects, etc., with which ^the pouira user play seen modifiei almost instantly some areas (lips, eyes, cheekbones, full face, hair, ears poui the earrings ^' ears etc) in the representation of its new virtual image until its final decision

The final îésultat can then had published locally sui printer couleui type jet encie, laseï theimique or sublimation, in A4 or autie toimat technically available the content of formula înloimations beauty oidonnance, leprenant ^image initial and ^image tianstoimée, recommendations, the caractenstiques face (you me couleui eyes, hair, etc.), the picture of pioduits, the range of couleui s pei sonal our harmonies, advice clothing couleui by î appoit to our couleui s etc. The icultures can be edited in the same way following the high definition images of the Internet, which is directly linked to the client. These same results can be twofold, in the same way, whether or in said medium. The media may or may not be printed (CV, virtual postcard, multimedia clip, video, calendar, calendar, banner, photo album, etc.) available for all applications. of the seiveui They can be had in the magnetic or electronic memo of the teiminal or on the seiveui Internet for ulteπeuie use The new image completed or not of the inloi mations can be sent by the function E- email and ^using the command ^"Attached ^file" to one or more correspondanis with ^an email address.

Also in ^the application process with a human face, the expert system is able to simulate the application of makeup styles adapted to the circumstances and personality

We can thus make a makeup best suited to a summer, an evening, for work, express an image in relation to its community or its own personal criteria of creativity.

The expert system is able to simulate on demand and verify the effects of a skin care program.

The implementation process in the present invention will be better understood by reference to the description ^of a simplified example on a woman's face described with reference to the accompanying drawings, wherein:

- Figure 1 shows the target sight for digital shooting of the face.

- Figure 2 shows ^the image of a woman's face changing, after the shooting in his sights framing, 256 colors or more

- Figure 3 shows the woman's face of Figure 2 recognized by the face recognition machine and the extracted data transmitted to the expert system, and shows in green lines, the areas of the image subject to recognition and traced the contours at the color coding of the ^iris of ^the eye (+), the identification of the nostrils

(II),

- Figure 4 shows the face modified by the method of the present invention including colors, shapes, designs, textures of the products, hair coloring, hair styling ^and accessoirisation,

FIG. 5 represents the face modified by the method with its virtual selection tool, and

- Figure 6 shows an example of the transformation of the image of a woman's face.

FIG. 1 is the target sight in which the subject will correctly place his face, in view of the digital photographic shooting by the tool. The subject will position his face in such a way that the vertical line marked (A) must be placed along and in the middle of the bridge of the nose, and the eyes must be respectively on the one hand above the horizontal line marked (B) and on the other hand each eye must be positioned in each of the frames marked (AB) and (AB '). Figure 2 is ^the image of women to change obtained ^elm a digital capture with the aid of a color video CCD in the firing described in 256 or more colors which will enable a data processing this image.

Figure 3 shows ^the computer image of that face in color, composed of elementary segments, delimiting six horizontal and two vertical zones areas, each characterized by a histogram specifying for this elementary level segment of each color. Having isolated the shapes from the backgrounds, we were able to automatically draw the outline of the targeted objects.

The analysis and recognition of the shapes of this face have been made possible: We have chosen two privileged directions such as the lines (V) and (H) of the figure

3.

Following these privileged directions, points such as (VI; Hl) are determined where the histograms undergo a discontinuity corresponding to the limit of the dark hair of the face studied. We will also reveal all the points such as (V I; H2) or (VI; H5) where the histograms pass through minima.

By moving the lines V and H along the image of the face, we define continuous lines representing the ton of the different elements of the face.

We are then able to recognize and analyze the skin textures by examining, for example, the histograms of the points noted along the directions such as H2, H3 H7.

Having determined the shapes and nature of the skin textures in this image, we are able to move on to the phase of extracting the contours and analyzing the colors. In this case, ^the analysis tool eye color, eyelashes, eyebrows, eyelids, facial skin and the color of the lips. Having defined the elements to be modified (objects: eyelids, eyes, lips, cheekbones, etc.), we proceed to extract the contours of these elements.

Having made automatic photographic corrections to improve the quality of the image: elimination of noise (parasitic points), brightness, color balance, contrast, focus, gamma etc. We therefore memorize all the points of each of these zones or targets to modify their color and redraw their shape to make up the makeup in the illusion that we wished.

In the event of recognition failure due, for example, to poor shooting, etc. With the help of the help and correction tool for detection, analysis and recognition, the user will ability to operate and correct manually. The subject then goes piéci st ^the location of the face in ^the image to ^the oulil of ieconnaissance, cl f orcer to inspect new areas or targets in the image of the face ^up to ^that it's el recognize the detained me correctly

This intervention and correction îésulte which will operate as follows Lacon By displaying a frame in ^the image with the four identified ignes (V), (H), (V2) and

(H8). These lines are mobile, that is, the subject can move them freely in a specific direction.

By using and dragging the lines (V), (H), (V2) and (H8), the subject frames the image of the face. The lines are then adjusted edge to edge with the parts of the face upper face (H), lower face (H8 ⁾ . left side of face (V), right side of face

(V2).

For certain exceptional features, the lines (H) and (H8) can be repositioned, for example if the hair is significantly confused with the color of the skin (a very blond subject), we will lower the line in this case ( H) up to the limit of the hair and the rest of the face (limit determined by the line (Hl) during recognition). In this case, the hair can not be recognized during the first recognition, to do this we must restart a second recognition by dragging the line (H), this time at the top of the face (top of the hair), the line ( Hl) having been determined during the first recognition ((H) was equal to (Hl)). The recognition tool will then be able to determine the shape and texture of the hair. We can complete and optimize the operation by also using lines (V) and (V2) by manually readjusting them, at the edge of the hair in relation to the bottom.

FIG. 4 corresponds to the restitution phase during which the fine characteristic features of the initial image have been transformed to give a completely new and aesthetic image, following deductions from the expert system and the color texture tools.

Thus we note that the image represents Ligurian 2, a woman in ^the cleared aspect, collected in the bitter hair without stripe, the face ^is neither masked nor accessoinsé.

In this restitution phase (figure 4), a certain number of modifications made it possible to modify this face very significantly.

The image of the face of the woman returned to ^the area. The background of the image has been slightly corrected to blue. The image has been modified for make-up, hair and color, and accessories.

Dermatological default (Houton ^of red acne) was dimmed depending on hair color (brown f ounce éclanci to the ends), shape and color of the eyes and the eyebrows, around the eyes α redesigned . So, the eyelids were stained. w ith a duet Icgeicmcnl îouge / Iose it n ue, ^the inléneur to their exliémués exténcures

The drawing of the coloring of them is slightly thin in poinie. \ eι sl ^' exléπeur, according to a slight oblique pulling gently upwards, in the bui ev ident de rendie the more feline look.

The tool used a dual make-up, to improve the contrast with the color of the woman's blue eyes, slightly red / pink (on the bottom of the eyelid) and slightly ivory (on the top of the eyelid). The eyes are highlighted by ^a legei kick intense black pencil on the upper part, to emphasized the i respect the ieste face Depending on the f my face (round in this case) ^the selected tool set a blusher in porcelain tones Ties back and sides of the face, choosing the stretch from top to bottom, in order ^to face ovahser (effect ^of αtfiner traits)

The face was completely covered with ^a porcelain complexion mows very light.

The lips have been redesigned with a red to pale pink lip including a discrete average effect bnllance (color texture), it is noted that the restitution textures of makeup products allows to ^obtain more demonstrative effects. Thus, the tool makes it possible to better highlight certain areas such as the lips which have a beautiful shaping effect.

The hairstyle was modified by stretching and smoothing the hair. The hair was colored using intense natural red tones. This color α was laid in respecting and including transparency and the texture of the hair ^of oπgine, including reflections.

For accessories, ^the α tool selected artificial plants that end up boldly ^to decorate the face.

Figure 5 shows ^the virtual selection tool, representing, for makeup, for example, four areas or targets identified by the drawing of the eye, lips, cheeks / skin, as well as coirespondantes colors and palettes their textures (bnllant, matte etc.), extracted from a makeup product range for example, and in perfect harmony with this face. This operation will allow the subject to select and modify by the expert system the zones or targets of this image, almost instantly by means of a computer device such as the keyboard, or the tactile zones of the screen, or the souns, or the remote control, or voice recognition (voice). To do this, he will tell the tool by means ^of a computer pénphénques, zone or target, eg lips and select a color or textured neutie in the palette. Once this operation is completed, the recognition tool modifies the zones or targets of the face image. The selection can be made zone or target by zone or target one at a time, or both, or all three at once, and so suile ^up to determine oneself its new image.

Virtual selection tool, ^if it is programmed for this purpose, can offer in addition to the colors of makeup or hair coloring, the colors of clothing that will blend perfectly with ^the ensemble.

It is this automatically generated image that reveals her new face to the client. This is what figure 6 represents: the image on the left represents the face before transformation, and the image on the right after transformation.

All of its information can make a beauty prescription, or a proposal containing ^the original image and ^the transformed image, recommendations, facial characteristics (shape, eye color, hair, etc.), photo products , the personal color palette of our harmonies, a clothing color advice in relation to our colors etc. The results can be similarly edited on the delocalized high definition printers of the Internet provider who will be responsible for sending them to the postal address of his client. These same results can be translated, in the same way, on or in different pre-printed media or not (CV, virtual postcard, multimedia clip, video, calendar, banner, small poster, photo album, etc.) available through server applications. They can be archived in the magnetic or electronic memory of the terminal or on the Internet browser for later use. The new complete picture or not information can be sent by e-mail function and ^using the command "Attached file" to one or more corresponding with an email email address.

It is obviously possible to apply this method and device for simulating a virtual image from the one previously digitized color photography ^using a high-resolution color scanner (1200 X 600 ppi, for example). This will enable to process the image by computer ^and make, when ^it is a photographic portrait ^of a subject, some corrections or improvements. Thus, we can proceed with the aesthetic enhancement of the face ^using capillary techniques and makeup, shading or correction of certain anatomical defects, change of skin color (tan, bleach etc.) in in this case, the coire database responding to the aesthetic simulation of the face is enriched by a collection of aesthetic rules concerning makeup, hairstyle, hair techniques, skin texture and / or plastic surgery allowing simultaneous treatment face and hair part of a subject to edit or return very quickly a new, positive image, ideal view thanks in part to ^the automation and accuracy of the process, but also thanks to the perfect color reproduction and their textures (shiny, glittery lant hui, male e poudi i cllel etc.) in a range of pi oducts makeup or capillaues L el visual lel ^is all pl us i eal ist and artistic as po i laying couleui s is pi end account also well the lextui e of the target area (levie by example), the lumieie of 1 image, and the lextuie of the couleui itself which sci posed in ti anspaience sui its target

It is easy to see that this system can have many applications by supplementing the expert system with eommeiciale or scientific data.

As a sales aid and animation tool in the aesthetic field

The device according to ^the invention peimet of helped fades a malleui choice in Ft oduils of a range of a tabncant (capillan e or cosmetic) and brought an aesthetic Board vi like pa sonalised and this ties î apidement depending on the personality ft opie of one or plusieui s Maiques so ^if one is in a domestic envnonnement, shop, dedicated Intanet a maïque may well pioposeï ties makeup savices or virtual coittuie using ^the tool to its customers is can thus order a personalized make-up and / or a coittuie The device also simulates the modifications to be made, as well as the tutui aspect of the face, and the pioduits can be ordered online or in place

This image permettia îéalisa of the model that ^we wished îéception its pi oducts The invention applied in the Internet domain is all ^the more inteiessante it Ottie poui virtual tools make up the coittuie etc., mamèie immatéπelle , but of more piécise than the man of the metiei in the leahte. and responds to a very specific and natural demand in this area by the usaga

The database of the expert system is full of rules concerning the techniques of make-up of a man of the metiei and make-up pioduits or the aesthetic and artistic techniques of a tabuch in plastic

We can thus visualize at the end of 1 existing anaiomy of the face a tiaitei, the modifications to it brought such as a lil ting, an ectitication of the nose, a maxillan tianstoimation, an ectification of the beak of lievie. removal of scars, hair implant etc

The software simulates the Modified ications alois has brought, as well as ^the appearance of the face lutur

The expert system database is full of icons concerning the anatomy and the corresponding technical technique. The invention in this field helped me to obtain an apid and piccis diagnosis of the opa ations at iealisa, even from i esei va sui Inta net, its clinic and its chu ui g Api es cicali isation, this half image must be compaié to the icsultal obtained, af in de von if there is still place of pioceda a few icctil ications complementaiies In dermatology

The use of an expert system of ti alternating the cutaneous image in color allows a new development by quantifying and qualifying the state of the skin gi thanks to the textual analyzes and the distribution of colors

In pai ticuhei the ^acquisition system and ti aitements ^images associated with an expert peimet of lealisa system a model ^of diagnostic support and suggaa the natuie ti alternate to effected (ointment, Cieme active etc care)

In outie the peimet device damatologue of appiecia more easily ^the progression of the disease and saw no difficulty changes coloiauons skin tissue (eczema, shingles, psonasis, dermatitis etc.) The expert system database ennchie intoi mation concerning changes coloiation skin tissue or skin patches coπespondant to a set of conditions, accompanied ^by examples of tiaitements, suggested to the nature of the treatment ettectuei

In coittuie and technical capillanes The device according to the invention peimet ^of has helped fade the choice ^of an aesthetic meilleuie facilitating modeling coittuie and / or ditféientes coloiations hair

This Pouv applying ant ETIE setting oeuvi dπectement e pai pi océdé, ^application and capillanes techniques can ETIE duectement included in the alternate ti face

The database corresponding to the aesthetic simulation of the face is supplemented by a set of aesthetic rules concerning the coittuie and the color of the hair thus allowing to ti aita simultaneously the face and the capillary part of a subject En huoutene et accessones d ornament for the face

The device according to the invention peimet aida af ane the choice of one or more accessories or jewelry by making it easier to choose according to the manufacturer (s), tastes and prices, then to try them virtually, in all hygiene is painless if it is an example of piacing accessories This application Pouv ant e ETI setting oeuvie diieclement pai pi océdé, application, and pioduits isalion accessou techniques can ETIE dii ectly included in the processing of ^the image

The database matching cosmetic facial simulation is completed pai an aesthetic rules regarding en.semble accessones ^of oiπements facial jewelry and thereby ti aila simultaneously face and ornament of a subject part . In glasses

The device of the invention allows helped, the optician lunetia, ^of assistancei to silence the choice of a better aesthetic facilitating the superposition of different glasses sui montuies the appropriate area of the face Also change the color of his eyes, by changing the color of f ins of the eye by imitating the available colors of the contact lenses changing color

This application can be implemented directly by the process, the application to the eyewear technique or optical instruments can be directly included in the facial treatment. The color changes of endings can react on the deductions of the expert system in makeup for example, or even in the ornament of the face for the choice of colors. Likewise, the deduction of a certain mount can be carried out with a new adequate hairstyle. The database matching cosmetic facial simulation is complemented by a collection of rules ^of aesthetics for spectacle frames, the înstiument ^of optical (lenulles of coloiation, lentils as support ad pubhcitane etc.) to thus simultaneously treating the face and fitting different glasses frames adequately or different colored lenses In physical or virtual access control by example on a network (by example

Internet) or a computer site.

The system allows reconnaîtie suddenly sui face ^of a known person, which can help to trigger a ^system Ouva Tuie, pai example an access hatch to the vault of a bank, or its ouvm di ights ^of users on a network or computer site.

The database is enriched with intormations conespondants caiactéπ ticks all features (shape, size, color etc.) ^of one or more known faces to recognize surely and quickly linked the face of a person called autonsée to grant him his rights in identity photography The system according to ^the invention at ^a photograph ^of identity to ^improve the aesthetics cl ^image of a subject.

The database matching aesthetic simulation of the face is completed by an aesthetic collection of rules about makeup, hairstyle, hair techniques, eyewear, ^ornament of the face and skin texture allowing simultaneous processing the face, the hair part ^of a topic to edit photographs rewarding for the customer.

In photographic processing

The system according to the invention from ^a color photograph on all media (Argentine paper, slide, special paper for digital printing etc.) or format (identity, portrait, etc.), having been "scanned" by an appropriate scanning device, to be retouched and improved aesthetically.

This process applied to mail order sales is a good way to drive sales of a brand, especially in cosmetics. Customers provide their photographs on an appropriate medium provided by the service provider. The brand restores them some time after a new image of them aesthetically in line with its own sales objectives and theirs.

Then if the client authorizes it, his image can be archived to be used for personalized recovery campaigns either by postal broker or on the Internet. The database corresponding to the aesthetic simulation of the face is completed by a collection of aesthetic rules concerning make-up, hairstyling, hair techniques, eyewear, facial ornamentation, and the texture of the skin, thus making it possible to treat simultaneously. the face, the hair part ^of a topic to edit photographs rewarding for the customer. In mo hopsvchology and individual profile modeling

The device according to the invention makes it possible to observe and "read" with meticulousness a face, wrinkles and fine lines (their situation, their directions and their depth), the balance between the upper and lower part, the size and the shape of the nose, the earlobe and the corners of the lips, the implantation of the hair, the size of the forehead in relation to the rest of the face etc., thus it is possible to detect and determine the personality and the character traits d others.

This application is especially interesting ^that it can also be used to model an individual profile on a computer network such ^that Internet. Indeed, if we couple this application to the different available applications (cosmetics, hairstyles, eyewear, access control, photographic processing, etc.), the system can start from each face partially determine the peisonnalile ft Olonde ^a sιi | cl. and thus deienninci a psychological profile of consumer

The sv tern ennchie database is ^a set of techniques coiTcspondant ^observation v isages complemented by those of skill in the art in this field (morphopsychologist, psychologist, expert in ^buying behavior etc.)

In gnmage

The device of the invention allows f ane choice ^of a sui applied gnmage face ^a entant, a adolescen ^or an adult. In this way, the subject can silence the choice to resemble a celebrity character (comics, cartoons, films, video games etc.) or to translate their expression in different fun or festive areas by creating a virtual mask (clown, animals, demons, vampires etc.). from other choices ...

Thus the image of the subject's face can be retouched and modified according to the subject. This application can be implemented directly by the process, the application and the techniques of make-up, ornaments or accessories for the face and hair can be directly included in the face treatment.

The database matching cosmetic facial simulation is complemented by a set of rules for face painting (famous people, fun and festive virtual masks etc.), hairstyle, ^accessories ornaments (false nose, hat etc.) and the color of the hair thus making it possible to simultaneously treat the face and the capillary part of a subject.