KR20100137964A

KR20100137964A - System and method for providing service of child's fortune telling using face recognition technology

Info

Publication number: KR20100137964A
Application number: KR1020090056256A
Authority: KR
Inventors: 김진식
Original assignee: (주)퍼스트메카
Priority date: 2009-06-24
Filing date: 2009-06-24
Publication date: 2010-12-31

Abstract

The present invention relates to a method and system for providing a second-generation face fortune service using face recognition technology. More specifically, a face region is cropped from an input image of a user and a counterpart, and an image of the cropped face region is provided. A second generation face synthesizing module for generating data analyzing the corresponding images for each of the two generations, and a second generation face image to be born between the user and the counterpart using the generated analysis data; And a fortune information including a second generation face fortune to be born from the user and the other party by receiving the second generation face image generated from the second generation face synthesis module and using the provided second generation face image. And a face fortune providing module for generating fortune information including fortunes related to the second generation of each of the counterparts.

According to the method and system for providing a second-generation face fortune service using the face recognition technology of the present invention, in providing fortune-telling information, a face of two-year-old fortune-telling (coronal) and two-year-olds with their two-year-old face are not yet born. Relationships can also be identified in advance. In addition, by using the images provided as samples when there is no photograph of the other person, you can also grasp the face fortune of two-year-old born with the ideal type and the relationship between the child and the parent who will be born. By satisfying the consumer's curiosity, the operator's return can be increased.

Description

Method and system for providing second-generation face fortune service using face recognition technology {SYSTEM AND METHOD FOR PROVIDING SERVICE OF CHILD'S FORTUNE TELLING USING FACE RECOGNITION TECHNOLOGY}

The present invention relates to a method and system for providing a fortune service, and more particularly, to a method and system for providing a second generation fortune service using face recognition technology.

Face recognition technology, which is used as a security application technology, is a field of biometric technology that utilizes different features as if each person had a unique fingerprint. The feature is that the technology converts individual faces into mathematical expressions, making them unique markers per person, like human fingerprints, and are highly accurate enough to screen out a wanted person in a crowd. Facial recognition technology can be used anywhere in the field of finding people, such as finding wanted people, finding lost children, and finding separated families. The most active use of face recognition technology is the security field such as access control system, the company with high technology, safe deposit box, intelligence agency and apartment. In addition, it is easy to authenticate transactions in ATMs and electronic commerce, manage attendance at cyber universities, and restrict users on computers.

However, this is only to grasp the characteristics of the image or image of a real person obtained by using a photograph or various photographing means, the use of face recognition technology for a person who does not exist yet is limited. Recently, various attempts have been made to utilize such technology in entertainment or entertainment. As one example, a service of finding a face of a spouse or an ideal type through face recognition is one example. However, there is no provision for the service to know in advance the expected face of the second generation, the incidence of two-year-old and parental relationship, and fortune-telling relationship.

The present invention has been proposed to solve the above problems of the conventionally proposed methods, by analyzing and combining image information such as photographs or three-dimensional images between lovers or spouses in advance, it is possible to know in advance the face of the unborn 2 years old. In addition, the purpose of the present invention is to provide a method and system for providing a second-generation face fortune service using face recognition technology that can be grasped in advance and the relationship between the two-year-old face fortune (contemplation) and the parents of the second year.

The second generation face fortune service providing system using the face recognition technology according to the characteristics of the present invention for achieving the above object,

Crop a face area from the input images of the user and the other party, generate data obtained by analyzing the corresponding images with respect to the images of the cropped face area, and use the generated analysis data. A second generation face synthesis module configured to generate a second generation face image to be born between the other party and the other party; And

The second generation face image generated from the second generation face synthesis module is provided, fortune information including a fortune of the second generation to be born from the user and the other person using the provided second generation face image, and the user and the And a face fortune providing module for generating fortune information including a fortune of each other with each other of the counterparts.

Preferably,

Change and store file names of images received from the user, and store information including an absolute path of the stored image file, a path to receive images of the cropped face region, and birth dates and genders of the user and the other party; The service control module may provide the stored information to the second generation face synthesis module and the face fortune providing module.

More preferably, the service control module,

Provided to the user by receiving the fortune information including the second-year face fortune generated from the face fortune providing module and four weeks, affinity for the user and the other party, and relationship fortune between the user and each other and the second party; can do.

Preferably, the second generation face synthesis module,

A face region crop unit which detects a face region from the input images of the user and the counterpart, and extracts a plurality of point information on the detected face regions;

An analysis unit for analyzing the plurality of point information extracted from the face region cropping unit to generate analysis data combining the features of the user and the counterpart; And

The two-year-old gender is classified based on the data analyzed by the analysis unit and four weeks information of the user and the counterpart provided by the face fortune providing module, and the data analyzed by the analysis unit according to the divided two-year gender. The second generation face data may be generated, and the second generation face modeling unit may model the second generation face image using the generated facial data.

More preferably, the second generation face synthesis module,

The apparatus may further include a preprocessing unit configured to perform a preprocessing process on the images of the face region extracted by the face region cropping unit.

Preferably, the face fortune providing module,

Further includes four weeks DB and ornamental DB,

A face fortune analysis unit for analyzing a face fortune of two years from the coronary DB by combining the features identified through the face images provided by the second face synthesis module; And

Analyze the four weeks information of the user and the other party using the four weeks DB, and the personality, temperament, study, occupation, health, wealth, parent of the 2 years calculated from the analyzed four weeks information and the face fortune analysis It may include a fortune analysis unit for solving the information including the relationship.

More preferably,

The relationship between the user and the second generation and the relationship between the other party and the second generation may further include a relationship index setting unit for each of the categories including affection, personality, conversation, interest, understanding index, each chart .

According to another aspect of the present invention, there is provided a method for providing a second-generation face fortune service using face recognition technology, wherein a user who wants to know information including a face and face fortune of a second-year-old to be born includes the Internet. In the 2 years old face fortune service providing system which can be connected through a communication network,

(1) receiving information including images of the user and the counterpart;

(2) detecting images of the face area from the received information, and extracting and analyzing feature information from the detected images;

(3) modeling a face image of 2 years old to be born using the analyzed feature information; And

(4) analyzing the modeled face image of the two-year-old by referring to the information stored in the coronary DB, and solving the fortune-telling of the two-year-old according to the analysis result.

Preferably, the step of receiving the information including the image of the other party of the step (1),

Providing an image of celebrities to the user's terminal and receiving a selection of at least one of the images of the provided celebrities from the user; And

And setting information including the received selected celebrity image as information of the counterpart.

Preferably,

The method may further include checking validity of the images of the face region detected in the step (2) and assigning and storing a file name of the valid images.

Preferably, the step (2) is,

Detecting images of a face area from the received information;

Setting a plurality of reference points with respect to the image of the detected face region;

Dividing the image of the face area into at least one component using the set reference point; And

The method may include extracting and analyzing feature information about the divided components.

Preferably, step (3) is

And receiving and analyzing four weeks information of each of the user and the counterpart;

The two-year-old gender is distinguished by combining the analyzed feature information and the four weeks information of the user and the counterpart, and modeling a two-year-old face image to be born according to the gender classification.

Preferably,

Receiving and analyzing four weeks information of each of the user and the counterpart; And

The method may further include classifying genders of 2 years of age to be born based on the four weeks information of each of the analyzed user and the counterpart, and interpreting fortune relations between the user and each of the counterparts and 2 years of age according to the gender classification. have.

More preferably, the relationship fortune is,

It may include at least one of the personality, temperament, study, occupation, health, wealth, and parental relationship of the second year of birth.

More preferably,

The method may further include displaying a graphical representation of each of the analyzed fortunes between the user and the other party, and each of the relationship items of affection, personality, conversation, interest, and understanding index.

A computer-readable recording medium according to another aspect of the present invention for achieving the above object can record a program for executing the method of any one of the above.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram of a second generation fortune service providing system using face recognition technology according to an embodiment of the present invention. As shown in FIG. 1, the second generation face fortune service providing system 10 using face recognition technology according to an embodiment of the present invention detects each component of a face from a picture of a person or a three-dimensional image image. It is a system that models the predicted face images of 2 years old by using recognition technology, and grasps the face fortunes of 2 years old to be born from the predicted face images of 2 years old. The second generation face fortune service providing system using the face recognition technology according to an embodiment of the present invention, a picture of the person and the other person provided from a wireless terminal 30 or a wired terminal 50 such as a PC including a user's mobile phone. Or as a fortune to predict the face of a two-year-old to be born between two people with the image as the parent's face, you can see a variety of different children's faces depending on the image uploaded. Face analysis analyzes the information extracted from important points of the face, for example 78 points, and uses the data to classify the child's face according to the gender determined by distinguishing whether the child to be born is son or daughter based on the combination of parental characteristics and four weeks information. This generation, the age of the child to be produced will appear in the form of infants 1-2 years old. In addition, it analyzes the information of the four weeks to learn more about the nature and temperament of the child, academic and career, health, wealth, and the relationship between parents, and the relationship between mother and child, father and child affection / personality / It is divided into each item such as conversation degree, interest level, and understanding index and provided together with various types of graph. In addition, if there is no picture of the other person, you can preview the face of the child who will be born between you and the celebrity by using a sample photo provided, for example, a celebrity or athlete. Can cause.

To this end, the second generation face fortune service providing system 10 using the face recognition technology according to an embodiment of the present invention, the user and the counterpart received by the second generation face synthesis module 100 through the service control module 300 Crop the face regions from the images of the and generate data obtained by analyzing the respective images with respect to the images of the cropped face regions. Crop refers to cropping a picture by specifying an area. The area can be arbitrarily determined by pixels, ratios, paper sizes, etc., and when pixels are specified, horizontal or vertical dots can be arbitrarily selected. Can be set. In this case, as described above, the analysis of the image of the face region may be performed by analyzing information obtained by extracting 78 important points constituting each component of the face. The second generation face synthesizing module 100 performs a process of generating a second generation face image to be born between the user and the other party, ie, future parents, using the generated analysis data. Receiving the second generation face image generated from the second generation face synthesis module 100, and providing the coronary and fortune-related information by using the provided second generation face image is performed by the face fortune providing module 200. In this case, the information provided by the face fortune providing module 200 includes fortune information including a face fortune of two years old, which is born from a user and the other party, and fortune information including a relationship fortune between two users of each user and the other party.

In addition, the second generation face fortune service providing system 10 using the face recognition technology according to an embodiment of the present invention, the second generation face synthesis module 100 inside the system 10 for information including a picture or image provided by the user The second generation face image generated from the second generation face synthesis module 100 to the face fortune providing module 200, and provides various fortune-related information interpreted (solved) by the face fortune providing module 200. It is configured to include a service control module 300 for controlling the overall service to be delivered to the user provided a picture or image. To this end, the service control module 300 changes and stores file names of images received from the user, and includes an absolute path of the stored image file, a path to receive images of the cropped face region, and a birth date and gender of the user and the other party. The information is stored and the stored information is provided to the second generation face synthesis module 100 and the face fortune providing module 200. In addition, the second-generation face fortune generated from the face fortune providing module 200, the fortune information, including the four weeks, affinity for the user and the counterpart and the relationship fortune between the user and each other and the second generation to be born to provide a photograph and the like The second generation face fortune service provided by a user's wired / wireless terminal will be provided.

2 is a block diagram of the second generation face synthesis module 100 of the second generation face fortune service providing system 10 using face recognition technology according to an embodiment of the present invention. As shown in FIG. 2, the second generation face synthesizing module 100 according to an embodiment of the present invention detects a face region from images of a user and a counterpart who are input, and detects a plurality of face regions from the plurality of detected face regions. A face region cropping unit 110 for extracting point information, an analysis unit 130 for analyzing the plurality of point information extracted from the face region cropping unit 110 to generate analysis data combining features of the user and the counterpart; The two-year-old gender is classified based on the data analyzed by the analysis unit 130 and four weeks information about the user and the other party provided by the face fortune providing module 200, and the analysis unit 130 according to the divided two-year gender. The second generation face data is generated based on the analyzed data, and the second generation face modeling unit 150 is configured to model the second generation face image using the generated face data. In addition, the second generation face synthesis module 100 according to an embodiment of the present invention further includes a preprocessing unit 170 that performs a preprocessing process on the images of the face region extracted from the face region cropping unit 110. Can be.

The face area cropping unit 110 detects a face area from the input images of the user and the counterpart, and extracts a plurality of point information on the detected face areas. The method for detecting only the face region in the face region cropping unit 110 is a technique of separating only the face image from the background image, which corresponds to a known technique known to those skilled in the art, and thus, various techniques known in the art. Can be used. The information is extracted from a plurality of points for distinguishing each component part of the face, for example, 87 points for each part of the face, with respect to the detected face area of the user and the counterpart. A plurality of points extracted from the face region cropping unit 110 of the face synthesis module 100 is shown in FIG. 8.

FIG. 8 is a diagram illustrating each point extracted from the face region cropping unit 110 of the face synthesizing module 100 according to an embodiment of the present invention. As shown in FIG. 8, the face region crop part 110 according to an exemplary embodiment of the present invention may have a shape of an eyebrow, a shape of an eye, a length of a nose, a size and a shape of a nose, a shape of a lips, and a size and a thickness of a mouth. In addition, the information is extracted by setting 87 points to grasp the information including the shape, angle, length, and length from the cheekbone to the lip extension line between both temples.

The analysis unit 130 analyzes the plurality of point information extracted from the face region cropping unit 110 to generate analysis data in which the features of the user and the counterpart are combined. For example, the face region cropping unit 110 Analyzing the point values of the extracted parent's eyebrows, eyes, nose, mouth, chin, and facial contours, the data having an average value to reveal the characteristics of the parent, the data processed close to the mother based on the average value, and the father It will generate data processed close to the page.

The two-year-old face modeling unit 150 classifies the two-year-old gender by four weeks of information about the user and the other party provided by the data analyzed by the analysis unit 130 and the face fortune providing module 200, and divided into two years of age. The second generation face data is generated by the data analyzed by the analysis unit 130 according to the gender of the second generation face image using the generated face data. The second-generation face fortune service providing system 10 using the face recognition technology according to an embodiment of the present invention does not merely represent the two-year-old face generated in the data synthesized from the face of the mother and dad, but the mother and the dad, In other words, considering the gender of a two-year-old who can be born between two people based on four-in-one information about the user and the other party, and according to four weeks, whether two-year-old is more like mother or dad, or two-year-old son can be born. The model of the second generation's face is taken into consideration, along with information such as whether a child is born or whether both son and daughter can be born. Thus, for example, based on four weeks information on the user and the other party provided in the face fortune providing module 200 is determined that only the daughter is 2 years old, and if it is determined that the daughter has a lot in common with the father analysis unit 130 The model of the daughter's face is modeled using data processed close to the father based on the mean value of the data analyzed in.

The preprocessing unit 170 performs a preprocessing process on the images of the face region extracted by the face region cropping unit 110, and performs a correction on the minute parts made in general image processing. In addition, the preprocessing unit 170 may perform fine partial correction on the second generation face modeled by the second generation face modeling unit 150.

3 is a block diagram of the face fortune providing module 200 of the second generation face fortune service providing system 10 using face recognition technology according to an embodiment of the present invention. As shown in FIG. 3, the face fortune providing module 200 according to an embodiment of the present invention further includes a four-week DB 210 and a coronary DB 220, from the second-generation face synthesis module 100. Key information of the user and the counterpart using the face fortune analysis unit 240 and four weeks DB 210 for analyzing the fortune of the two years old from the coronary DB 220 by combining the features identified through the provided 2 years old face image. Fortune analysis unit to analyze the information including the personality, temperament, academics, occupation, health, wealth, relationship with the parents calculated in the four weeks information and facial fortune analysis unit 240 analyzed (260) It is configured to include). In addition, the face fortune providing module 200 according to an embodiment of the present invention, the relationship between the user and the second generation and the relationship between the other party and the second generation by each field including affection, personality, conversation, interest, understanding index Each may further include a relationship index setting unit 280 shown in a chart.

Key stock DB 210 is a database that stores four keys related information that can analyze each key according to the date of birth of the user, the fortune analysis unit 260 is used to analyze the key information of the user and the counterpart.

The coronary DB 220 is a database that stores face fortunes, i.e., information necessary to solve the coronation, according to a feature grasped from a user's face image or photograph, and the face fortune analysis unit 240 analyzes the face fortune of two years old. It is used to

The face horoscope analyzer 240 analyzes the face horoscope of the second generation from the coronary DB 220 by combining features identified through the second-generation face image provided from the second-generation face synthesis module 100.

The fortune analyzing unit 260 analyzes four weeks information of the user and the other using the four weeks DB 210, and analyzes the four weeks of personality, temperament, study, Solve each or a combination of fortune-telling information, including occupation, health, wealth, and relationships with parents.

The relationship index setting unit 280 classifies the relationship between the user and the second generation and the relationship between the other party and the second generation for each field including affection, personality, conversation, interest, and understanding index, respectively, and displays the chart.

4 is a flowchart illustrating a method for providing a second generation face fortune service using face recognition technology according to a first embodiment of the present invention. As shown in FIG. 4, in the method for providing a second-generation face fortune service using face recognition technology according to the first embodiment of the present invention, a user who wants to know information including the face and face fortune of a second-year-old to be born is on the Internet. A method of providing a second generation fortune service in a second generation fortune service providing system 10 that can be connected through a communication network including a step of receiving information including an image of a user and a counterpart (S110) and receiving Detecting images of the face region from the information, extracting and analyzing feature information from the detected images (S120), modeling a face image of a second generation to be born using the analyzed feature information (S130), and coronary Analyzing the face image of the two-year-old modeled by referring to the information stored in the DB, and solving and providing the face fortune of the two-year-old according to the analysis result (S140) It is configured together.

As a method of providing a second-generation face fortune service in a second-generation face fortune service providing system 10 that a user who wants to know information including a face of a second-year-old and a face fortune to be born can access through a communication network including the Internet. When information including a picture or an image of the user and the other party is received by the second generation fortune service providing system 10 through the wireless terminal 30 including the user's mobile phone or the wired terminal 50 such as a PC (S110) ), The service control module 300 of the service providing system 10 provides photo or image information of the user and the counterpart to the second generation face composition module 100 among such information. At this time, the service control module 300 changes and stores the file names of the images input from the user, and stores the absolute path of the stored image file, a path to receive the images of the cropped face region, and the birth date and gender of the user and the other party. It stores and provides the stored information to the second generation face synthesis module 100 and the face fortune providing module 200.

The second generation face synthesis module 100 receiving the information including the image of the user and the counterpart from the service control module 300 detects the images of the face area from the received information, and extracts the feature information from the detected images. Analyze (S120), using the analyzed feature information to model the face image of the second generation to be born (S130). In operation S120, the image detection of the face area is performed by the face area cropping unit 110, and as described above, a plurality of points for distinguishing each component of the face with respect to the face areas of the user and the counterpart, for example, Information is extracted from the 87 points for each part of the face. Each of the 87 points extracted from the face region cropping section 110 is the shape of the eyebrows, the shape of the eyes, the length of the nose, the size and shape of the nose, the shape of the lips and the size of the mouth, the thickness, from the vicinity of the temple to the chin. Information corresponding to lip extension in shape, angle, length, and cheekbones. The point information extracted from the face region cropping unit 110 is analyzed by the analysis unit 130 to generate analysis data combining the features of the user and the counterpart, and is generated by the second generation face modeling unit 150. A two year old face image is modeled. In this case, the method of modeling the face image of the two-year-old is divided into two-year-old gender based on the data analyzed by the analysis unit 130 and four weeks information on the user and the other party provided by the face fortune providing module 200, The second generation face modeling unit 150 generates second generation face data based on the data analyzed by the analyzer 130 according to the gender of the three years, and models the second generation face image using the generated face data. Therefore, for example, when it is determined that the daughter is only 2 years old when the daughter is born, and the daughter has a lot in common with the father, based on four weeks information provided by the face fortune providing module 200 and the other party in the analysis unit 130 Among the analyzed data, the daughter's face image is modeled using the processed data close to the father's side.

Step S140 analyzes the face image of the two-year-old modeled by referring to the information stored in the coronary DB 220, and provides the face-fortune of the two-year-old according to the analysis result. Step S140 is performed by the face fortune analysis unit 240, by combining the features identified through the image of the second generation face provided from the second generation face synthesis module 100 by referring to the information stored in the coronary DB 220 The second generation face horoscope (coronal) modeled by the three face modeling unit 150 is analyzed (solved). The face fortune interpreted by the face fortune analyzer 240 is provided to the service control module 300 and is provided to the wired / wireless terminal of the customer who provides the second generation fortune service through a photo or an image.

5 is a flowchart illustrating a method of providing a second generation face fortune service using face recognition technology according to a second embodiment of the present invention. As shown in FIG. 5, in the method for providing a second generation face fortune service using face recognition technology according to the second embodiment of the present invention, a user who does not have a picture of a counterpart is a sample picture of various celebrities such as an entertainer or an athlete. This is an embodiment showing a case where a specific person is selected from and a user wants to know information including the face of the second-year-old born with the specific person and the face-fortune of the second-year old. As shown in FIG. 4, the service control module 300 of the second generation face fortune service providing system 10 which a user who wants to know the information including the face of the second generation and the face fortune to be born can access through a communication network including the Internet. Provides an image of a celebrity to the user's wired / wireless terminals 30 and 50, and receives a selection of an image of at least one of the celebrities provided by the user (S210), the service control module 300 receives the input. Information including the image of the entertainer is set as the information of the counterpart (S220). After that, the service control module 300 receives the information including the image of the user as shown in FIG. 4 (S230), and the image of the entertainer set as the information of the other party in step S220 and the image of the user received in step S230 2. The face region cropping unit 110 of the three face synthesizing module 100 detects images of the face regions and extracts a plurality of pieces of point information on the detected face regions (S240). At this time, the service control module 300 checks the validity of the images of the detected face region (S250, S255), and gives and stores a file name for the valid images (S260). The validity check on the images is a process of determining whether the image detection on the detected face region is correctly performed. If the detected image is not correct, the image is input or received again from the user.

Meanwhile, in one embodiment of the present invention, the validity check on the detected images of the face area is performed by the service control module 300, but the present invention is not limited thereto, and the images of the second generation face synthesis module 100 are not limited thereto. After performing the validity check on, the result can be notified to the service control module 300 and configured to store the valid images. In the service control module 300, the analysis unit 130 analyzes a plurality of pieces of point information extracted from the face region cropping unit 110 by combining the features of the user and the counterpart, that is, the selected entertainer. The analysis data is generated (S270). Thereafter, the second-generation face modeling unit 150 models the second-year-old face image to be born by using the analysis data combining the characteristics of each of the user and the counterpart (celebrity) provided from the analysis unit 130 (S280). Meanwhile, in one embodiment of the present invention, the second generation face image is modeled by the analysis data provided from the analysis unit 130 at the time of modeling the second generation face image, but the present invention is not limited thereto. 200) can be used to model the second-generation face image according to the four-week information, including information on the gender of the second-year-old and the parents more likely to be born when the user and the other party's four-week information. have. When the second generation face image is modeled through the respective components of the second generation face synthesis module 100, it is transmitted to the face fortune providing module 200 by the service control module 300. The face horoscope analyzer 240 of the face horoscope providing module 200 provided with this analysis analyzes the face image of the two-year-old modeled by referring to the information stored in the coronary DB 220 and, according to the analysis result, the face-fortune of the two-year-old. Solve When the second generation fortune is solved, the result is provided to the wired / wireless terminals 30 and 50 of the user who requested the service together with the second generation face image modeled by the service control module 300 (S290).

6 is a flowchart illustrating a method for providing a second generation face fortune service using face recognition technology according to a third embodiment of the present invention. As illustrated in FIG. 6, a method for providing a second generation face fortune service using face recognition technology according to a third embodiment of the present invention may be generated according to four weeks information of a user and a counterpart in modeling a second generation face image. The example of distinguishing two-year-old gender, and modeling the image of the face of the two-year-old to be born according to this gender separation. In this case, a gender of 2 years old that can be born according to the user's and the partner's key information is, for example, only a girl can be born according to the user's and the partner's key information, and a boy cannot be born a girl: 100% , Male: 0%, modeling the girl's face image with the probability of birth for the second year of birth. In addition, if a girl and a boy can have each other, they are represented as girls: 75% and boys: 25%, and face images of girls and boys are modeled together. To this end, first, information including an image of the user and the counterpart is received (S310), and images of the face area are detected from the received information (S320). In this case, a plurality of reference points are set for the image of the detected face region (S330), and the image of the face region is divided into at least one or more components using the set reference point (S340) to provide feature information on the divided components. Extracted and analyzed (S350). Step S310 of the series of processes is performed by the service control module 300, the process from step S320 to step S330 is in the face region crop unit 110, the process from step S340 to step S350 is the analysis unit 130 The process and roles performed in each component part will be referred to the description of the part. After that, the service control module 300 receives the four weeks information of each user and the counterpart and provides the face fortune providing module 200, and the provided face fortune providing module 200 analyzes each four weeks information. (S360). Characteristic information analyzed by the analysis unit 130 of the second generation face synthesis module 100 through the process from step S340 to step S350 and four weeks information of the user and the other party provided by the face fortune providing module 200 through step S360 In combination, the two-year-old face modeling unit 150 classifies the two-year-old gender (S370), and models the face image of the two-year-old to be born according to the divided gender classification (S380). The face image of the second generation modeled as described above is provided to the face fortune providing module 200 under the control of the service control module 300, and the face fortune providing module 200 which has received the analysis analyzes the modeled face image of the second generation. In accordance with the analysis result, the face horoscope of two years old is solved and provided (S390). As the information provided in step S390, as described above, the probability of birth of a 2-year-old gender, which may be born according to the four weeks information of the user and the counterpart, the face image of the 2-year-old according to each gender, the face-horoscope information of the 2-year-old, etc. correspond to this. do.

7 is a flowchart illustrating a method for providing a second generation face fortune service using face recognition technology according to a fourth embodiment of the present invention. As shown in FIG. 7, the method for providing a second-generation face fortune service using face recognition technology according to the fourth embodiment of the present invention includes a second-generation face image and a face fortune in addition to the second-year's face image and face fortune to be born between the user and the other party. An embodiment of a service that provides a relationship fortune with each parent, and includes relationship fortune information including at least one of the personality, temperament, study, occupation, health, wealth, and relationship with the parent to be born. In the relationship with the parents, the fortune between the user and the other person and the second generation born is classified by the relationship items of affection, personality, conversation, interest, and understanding index, respectively, to form a graph as shown in FIG. 9. Various modifications can be provided. In FIG. 7, the process from step S410 to step S450 is identical to the process from step S310 to step S350 of FIG. 6, and the process of step S460 to step S470 is identical to the process of step S270 to step S280 of FIG. 5. Please refer to the section for explanation.

After finishing the modeling and fortune-telling for the second generation face through the process of steps S410 to S470, the service control module 300 receives four weeks information of each user and the counterpart and provides it to the fortune analysis unit 260, The fortune analyzing unit 260 analyzes the fortune information such as four weeks, affinity for the user and the other party with reference to the four weeks DB (210) (S480). After that, the fortune analyzing unit 260 classifies the gender of 2 years old to be born based on four weeks information of the user and the counterpart analyzed in step S480 (S490), and according to the gender classification, the user and each other and the second generation to be born are divided. Interpret the relationship fortune (S500). At this time, the relationship fortune interpreted by the fortune analysis unit 260 includes at least one of the relationship between the personality, temperament, study, occupation, health, wealth, and parents of the second generation to be born, each of the user and the counterpart interpreted in step S500 The relationship fortune with the second year of birth is classified by the relationship items of affection, personality, conversation, interest, and understanding index by the relationship index setting unit 280 and is provided on the user's terminal screen in the form of a graph as shown in FIG. 9. (S510).

The present invention described above may be variously modified or applied by those skilled in the art, and the scope of the technical idea according to the present invention should be defined by the following claims.

1 is a conceptual diagram of a second generation face fortune service providing system using face recognition technology according to an embodiment of the present invention.

2 is a block diagram of the second generation face synthesis module 100 of the second generation face fortune service providing system 10 using face recognition technology according to an embodiment of the present invention.

3 is a block diagram of a face fortune providing module 200 of the second generation fortune service providing system 10 using face recognition technology according to an embodiment of the present invention.

4 is a flowchart illustrating a method for providing a second generation face fortune service using face recognition technology according to a first embodiment of the present invention.

5 is a flowchart of a method for providing a second generation face fortune service using face recognition technology according to a second embodiment of the present invention.

6 is a flowchart of a method for providing a second generation face fortune service using face recognition technology according to a third embodiment of the present invention.

7 is a flowchart illustrating a method for providing a second generation face fortune service using face recognition technology according to a fourth embodiment of the present invention.

8 is a view showing each point extracted from the face region cropping unit 110 of the face synthesizing module 100 according to an embodiment of the present invention.

9 is a view showing a screen provided to the user in accordance with the method of providing a second-generation frozen horoscope service using face recognition technology according to an embodiment of the present invention.

10: second generation face fortune service provision system

30: wireless terminal

50: wired terminal

100: 2nd generation face synthesis module

110: Crop area of the face area

130: analysis unit

150: second generation face modeling unit

170: preprocessing unit

200: face fortune providing module

210: four weeks DB

220; Ornamental DB

240: face horoscope analysis unit

260: fortune telling

280: relationship index setting unit

300: service control module

Claims

The second generation face image generated from the second generation face synthesis module is provided, fortune information including a fortune of the second generation to be born from the user and the other person using the provided second generation face image, and the user and the And a fortune teller service system using a face recognition technology comprising a face fortune providing module for generating fortune information including fortunes of each other with each other.

The method of claim 1,

Change and store file names of images received from the user, and store information including an absolute path of the stored image file, a path to receive images of the cropped face region, and birth dates and genders of the user and the other party; And a service control module for providing the stored information to the second generation face synthesis module and the face fortune providing module.

The method of claim 2, wherein the service control module,

Provided to the user by receiving the fortune information including the second-year face fortune generated from the face fortune providing module and four weeks, affinity for the user and the other party, and relationship fortune between the user and each other and the second party; 2 years old facial fortune service providing system using a facial recognition technology.

The method of claim 1, wherein the second generation face synthesis module,

An analysis unit for analyzing the plurality of point information extracted from the face region crop unit to generate analysis data in which the characteristics of the user and the counterpart are combined; And

The two-year-old gender is classified based on the data analyzed by the analysis unit and four weeks information of the user and the counterpart provided by the face fortune providing module, and the data analyzed by the analysis unit according to the divided two-year gender. And a second generation face modeling unit for generating the second generation face data and modeling the second generation face image using the generated face data.

The method of claim 4, wherein the second generation face synthesis module,

And a preprocessing performing unit configured to perform a preprocessing process on the images of the face region extracted by the face region cropping unit.

According to claim 1, The face fortune providing module,

Further includes four weeks DB and ornamental DB,

Analyze the four weeks information of the user and the other party using the four weeks DB, and the personality, temperament, study, occupation, health, wealth, parent of the 2 years calculated from the analyzed four weeks information and the face fortune analysis The second generation face fortune service providing system, comprising a fortune analysis unit for solving the information including the relationship.

The method of claim 6,

And a relationship index setting unit for classifying the relationship between the user and the second generation and the relationship between the other party and the second generation for each field including affection, personality, conversation, interest, and understanding index. Second generation fortune service providing system.

In the second generation face fortune service providing system that allows a user who wants to know information including a face of two years old to be born and a face fortune to be connected through a communication network including the Internet,

(1) receiving information including images of the user and the counterpart;

(4) analyzing the modeled face image of the two-year-old by referring to the information stored in the coronary DB, and solving the fortune of the two-year-old according to the analysis result. How to provide a second generation face fortune service.

The method of claim 8, wherein the step of receiving information including an image of the counterpart of the step (1),

Providing an image of celebrities to the terminal of the user and receiving a selection of an image of at least one of the provided celebrities from the user; And

And setting information including the inputted image of the selected entertainer as information of the counterpart.

The method of claim 8,

The second generation face fortune service using face recognition technology further comprises the step of validating the images of the face region detected in the step (2) and assigning and storing a file name for the valid images. How to Provide.

The method of claim 8, wherein step (2) comprises

Detecting images of a face area from the received information;

And extracting and analyzing feature information on the divided components. 2.

The method of claim 8, wherein step (3) comprises

Two-year-old using face recognition technology characterized by distinguishing the two-year-old gender by combining the analyzed feature information and four weeks information of the user and the other party, and modeling the face image of the two-year-old to be born according to the gender classification How to provide facial horoscope service.

The method of claim 8,

Distinguishing genders of 2 years of age to be born based on the four weeks information of the analyzed user and the counterpart, and interpreting fortune relations between the user and each of the counterparts and the second years of birth according to the gender classification. Method for providing a second-generation face fortune service using facial recognition technology characterized in that.

The method of claim 13, wherein the relationship horoscope,

A method of providing a second generation fortune service using facial recognition technology, comprising at least one of a personality, temperament, study, occupation, health, wealth, and relationship with parents of the second generation to be born.

The method of claim 13,

The facial recognition technology further comprises the step of displaying the analyzed fortune between each of the user and the other person and the second generation born by the relationship items of affection, personality, conversation, interest, understanding index, respectively, as a graph How to provide 2 years old face fortune service.

A computer-readable recording medium in which a program for executing the method of any one of claims 8 to 15 is recorded.