CN118096939A - System, method, equipment and medium for manufacturing AI digital business card based on 2D digital person - Google Patents
System, method, equipment and medium for manufacturing AI digital business card based on 2D digital person Download PDFInfo
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Abstract
The invention relates to the technical field of computers, and discloses a system, a method, equipment and a medium for manufacturing an AI digital business card based on a 2D digital person, wherein the system comprises: the user information input module is used for acquiring identity information and other information input by the target object; the 2D digital person generating module is in communication connection with the user information input module and is used for receiving the identity information and generating a 2D digital person image based on the identity information; the digital business card generation module is respectively connected with the 2D digital person generation module and the user information input module in a communication way, and is used for receiving the 2D digital person image and other information and generating the digital business card based on the 2D digital person image and other information. The invention can display personal information in a novel mode and provide a richer and more personalized information display mode.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a system, a method, equipment and a medium for manufacturing an AI digital business card based on a 2D digital person.
Background
With the development of information technology, digital business cards have become an important tool in modern social and business activities.
At present, the digital business card often only contains basic text information, and is lack of individuation and richness. Therefore, how to display personal information in a novel way and provide a richer and more personalized information display way becomes a problem to be solved urgently.
Disclosure of Invention
In order to solve the problems, the invention provides a system, a method, equipment and a medium for manufacturing an AI digital business card based on a 2D digital person. The system can convert the information of the user into a 2D digital human figure through an AI technology, and the figure is embedded into the digital business card, so that a richer and more personalized information display mode is provided.
In a first aspect, the present invention provides a system for making AI digital business cards based on 2D digital persons, the system comprising: the user information input module is used for acquiring identity information and other information input by the target object; the 2D digital person generating module is in communication connection with the user information input module and is used for receiving the identity information and generating a 2D digital person image based on the identity information; the digital business card generation module is respectively connected with the 2D digital person generation module and the user information input module in a communication way, and is used for receiving the 2D digital person image and other information and generating the digital business card based on the 2D digital person image and other information.
In an alternative embodiment, the 2D digital person generation module includes: the feature extraction sub-module is in communication connection with the 2D digital person generation module and is used for carrying out feature extraction processing on the identity information to obtain target features; the image generation sub-module is in communication connection with the feature extraction sub-module and is used for processing the target features to generate the 2D digital human image.
In an alternative embodiment, the digital business card generation module includes: the information integration sub-module is used for integrating the 2D digital human image and other information to obtain target data information; and the business card design sub-module is in communication connection with the information integration sub-module and is used for carrying out graphic design processing on the target data information to generate the digital business card.
In an alternative embodiment, the system further comprises: and the user feedback module is respectively in communication connection with the digital business card generation module and the 2D digital person generation module, and is used for receiving a feedback instruction sent by the target object and respectively adjusting the 2D digital person image and the digital business card in response to the feedback instruction.
In an alternative embodiment, the system further comprises: the output module is in communication connection with the digital business card generation module and is used for receiving the digital business card and outputting the digital business card according to at least one data format.
In an alternative embodiment, the output module is configured to output the generated digital business card in electronic form or in printed form.
In an alternative embodiment, the business card design submodule includes: the identification unit is used for identifying the target data information and determining the design information of the target object; the matching unit is used for matching colors, fonts and layouts corresponding to the design information from a preset database based on the design information; and the business card design unit is used for generating the digital business card based on the colors, the fonts and the layout.
In a second aspect, the present invention provides a method for making an AI digital business card based on a 2D digital person, the method comprising: acquiring identity information and other information input by a target object; generating a 2D digital persona based on the identity information; based on the 2D digital person image and other information, a digital business card is generated.
In a third aspect, the present invention provides a computer device comprising: the memory and the processor are in communication connection with each other, the memory stores computer instructions, and the processor executes the computer instructions, so that the method for manufacturing the AI digital business card based on the 2D digital person according to the first aspect or any implementation mode corresponding to the first aspect is executed.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the method of making an AI digital business card based on a 2D digital person of the first aspect or any of its corresponding embodiments.
The invention provides a system, a method, equipment and a medium for manufacturing an AI digital business card based on a 2D digital person, wherein the system comprises: the user information input module is used for acquiring identity information and other information input by the target object; the 2D digital person generating module is in communication connection with the user information input module and is used for receiving the identity information and generating a 2D digital person image based on the identity information; the digital business card generation module is respectively in communication connection with the 2D digital person generation module and the user information input module, and is used for receiving the 2D digital person image and other information and generating the digital business card based on the 2D digital person image and other information
The invention displays personal information in a novel way, provides a richer and more personalized information display way, and solves the problems that digital business cards often only contain basic text information and lack individuation and richness.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of a system for making AI digital business cards based on 2D digital persons in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of a method for making AI digital business cards based on 2D digital persons in accordance with an embodiment of the invention;
Fig. 3 is a schematic hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
With the development of information technology, digital business cards have become an important tool in modern social and business activities.
At present, the digital business card often only contains basic text information, and is lack of individuation and richness. Therefore, how to display personal information in a novel way and provide a richer and more personalized information display way becomes a problem to be solved urgently.
Based on the above, according to the embodiment of the invention, a system, a method, equipment and a medium for manufacturing the AI digital business card based on the 2D digital person are provided, personal information can be displayed in a novel mode, and a richer and more personalized information display mode is provided.
According to an embodiment of the present invention, there is provided a system for manufacturing an AI digital business card based on a2D digital person, as shown in fig. 1, the system including: a user information input module 101, configured to obtain identity information and other information input by a target object; the 2D digital person generating module 102 is in communication connection with the user information input module 101 and is used for receiving identity information and generating a2D digital person image based on the identity information; the digital business card generation module 103 is respectively in communication connection with the 2D digital person generation module 102 and the user information input module 101, and is used for receiving the 2D digital person image and other information, and generating the digital business card based on the 2D digital person image and other information.
The user information input module 101: for receiving and processing various types of information (i.e., identity information) entered by a user (i.e., a target object), including but not limited to name, occupation, contact, etc. The module may collect user information through a Graphical User Interface (GUI) and process the information through preprocessing algorithms such as data cleansing and formatting. In particular, such information is processed through preprocessing algorithms such as data cleansing and formatting, including specifically removing erroneous, incomplete, duplicate or irrelevant data, and converting the data into a consistent format for subsequent processing. For example, if the telephone number entered by the user contains non-numeric characters, the data cleansing process may delete these non-numeric characters.
2D digital person generation module 102: based on information input by a user, a 2D digital human figure is generated through an AI algorithm. The 2D digital person generation module 102 may employ a deep learning generation countermeasure network (GENERATIVE AdversarialNetworks, GANs) to generate a 2D digital person figure, where the entered user information may be used as an input to the network and the 2D digital person figure may be used as an output to the network.
Digital business card generation module 103: and generating the digital business card by the generated 2D digital human figure and other information of the user. The module can adopt a template matching technology to select a proper name card template according to the occupation, industry or personal preference of the user.
The template matching technique may be one that finds the best matching (or most similar) portion of a given image to another template image. The matching value of each initial pixel point is calculated by traversing on the target picture and selecting a certain matching mode, and the position with the largest final matching value is the candidate matching position, so that the matching searching effect is achieved.
Template matching is generally used in the field of computer vision such as image recognition and target tracking, and similar areas in a target image are searched according to a specific template image, so that functions such as target detection or positioning are realized. In the process of template matching, one or more templates are generally defined, then the templates are continuously slid in the image to be detected, and the similarity or matching degree of the templates and the image to be detected is calculated, so that the position or shape and other information of the target are determined.
The template matching technology needs to pay attention to some problems in practical application, such as selection of template size, selection of matching algorithm, noise interference and the like. Therefore, when template matching is performed, parameter adjustment and optimization are required to be performed according to specific application scenes and requirements so as to improve matching accuracy and efficiency.
Specifically, in the present embodiment, the user first inputs own information including, but not limited to, name, occupation, contact, etc., through the user information input module 101. The user information input module 101 collects user information through a Graphical User Interface (GUI) and processes the information through preprocessing algorithms such as data cleansing and formatting.
The 2D digital person generation module 102 then generates a 2D digital person image through an AI algorithm based on the information input by the user. In this embodiment, the 2D digital person generation module 102 generates a 2D digital person figure using a deep learning generation countermeasure network (GANs), wherein the input user information is used as an input of the network, and the 2D digital person figure is used as an output of the network.
Next, the digital business card generation module 103 generates a digital business card with the generated 2D digital person image together with other information of the user. In this embodiment, the digital business card generation module 103 uses a template matching technique to select a suitable business card template according to the occupation, industry, or personal preference of the user.
And finally, the output module outputs the generated digital business card to a user. In this embodiment, the output module supports multiple output formats, such as PDF, JPEG, and so on, and supports sharing generated digital business cards by means of email, social media, and so on.
In the whole process, a user can provide feedback for the generated 2D digital human figure or digital business card through a user feedback module, and the system adjusts and optimizes according to the feedback. In this embodiment, the user feedback module adopts an online learning algorithm, and dynamically adjusts parameters of the generating module and the design module according to feedback of the user.
In an alternative embodiment, the 2D digital person generation module 102 includes: the feature extraction sub-module is in communication connection with the 2D digital person generation module 102 and is used for carrying out feature extraction processing on the identity information to obtain target features; the image generation sub-module is in communication connection with the feature extraction sub-module and is used for processing the target features to generate the 2D digital human image.
And a feature extraction sub-module: for extracting features from information entered by a user. The sub-module may employ natural language processing (Natural Language Processing, NLP) techniques to extract keywords as features from text information entered by the user.
The image generation sub-module: based on the extracted features, a 2D digital human figure is generated by an AI algorithm. The sub-module may employ a variation self-encoder (Variational Auto-Encoder, VAE) or GANs to generate a 2D digital avatar. VAEs and GANs are widely used in deep learning to generate images and the like. The VAE is used to generate new data instances, while GANs generates high quality images by training both networks (generator and discriminator).
The AI algorithm may include the following:
Linear regression (Linear Regression): one popular machine learning algorithm is to find a straight line and fit the straight line to the data points in the scatter plot as much as possible.
Logistic regression (Logistic Regression): similar to linear regression, but the result of logistic regression can only have two values.
Decision Trees (Decision Trees): a supervised learning algorithm constructs a decision tree by partitioning a dataset into subsets.
Naive Bayes (Naive Bayes): a classification algorithm based on Bayes theorem assumes that features are independent of each other.
Support vector machine (Support Vector Machines): a classification algorithm attempts to find a hyperplane to separate different categories of data.
K-nearest neighbor algorithm (KNN, K-Nearest Neighbors): an example-based learning algorithm votes on k nearest neighbor categories of input data to determine the category of the input data.
K-Means (K-Means): an unsupervised learning algorithm for dividing a dataset into k clusters.
Random forest (Random Forests): an ensemble learning algorithm improves classification accuracy and reduces overfitting by building multiple decision trees and voting on their predicted results.
Neural network (Neural Networks): a machine learning algorithm models complex patterns in data.
Principal component analysis (PRINCIPAL COMPONENT ANALYSIS, abbreviated as PCA): a technique for finding data patterns.
Linear discriminant analysis (LINEAR DISCRIMINANT ANALYSIS, LDA for short): a machine learning technique that finds a set of variables (characteristics) that are most important to predicting a target variable.
Hierarchical clustering (HIERARCHICAL CLUSTERING): is a method of combining data items to make them easier to understand.
In an alternative embodiment, the digital business card generation module 103 includes: the information integration sub-module is used for integrating the 2D digital human image and other information to obtain target data information; and the business card design sub-module is in communication connection with the information integration sub-module and is used for carrying out graphic design processing on the target data information to generate the digital business card.
And an information integration sub-module: and integrating the generated 2D digital human figure with other information of the user. The sub-module can adopt a mixed layout algorithm to automatically adjust the layout of information according to the size and shape of the 2D digital human figure and the layout of the name card template. For example, if the 2D human image is large, the algorithm may adjust the position and size of text and other elements to maintain visual balance and readability.
And a business card design sub-module: and designing the digital business card according to the integrated information. The sub-module can adopt a graphic design algorithm to automatically select the colors, fonts and layout of the business card according to the preference of the user and the industry standard. For example, the algorithm may select the business card color based on a common color scheme of the industry in which the user is located, or the font style according to the user's preference. Such algorithms may optimize design choices by learning user feedback and industry trends.
The graphic design algorithm may include the following:
Rendering algorithm: algorithms for converting 3D models to 2D images include ray tracing, scanline rendering, and the like.
Graphic transformation algorithm: algorithms for rotating, scaling, translating, etc., graphics.
Geometric calculation algorithm: for calculating properties of the geometry, such as area, circumference, angle, etc.
Image processing algorithm: algorithms for filtering, enhancing, segmenting, etc., the image.
Path algorithm: algorithms for generating or optimizing the graphics path, such as Dijkstra's algorithm, and the like.
Animation algorithm: for generating smooth animation effects such as key frame interpolation, physical simulation, etc.
Graph synthesis algorithm: for combining multiple graphic elements together to produce a final graphic, such as Alpha blending, clipping, etc.
Color matching algorithm: for determining the most suitable color scheme so that the graphics look the same on different displays.
In an alternative embodiment, the system further comprises: the user feedback module is respectively in communication connection with the digital business card generation module 103 and the 2D digital person generation module 102, and is used for receiving a feedback instruction sent by the target object and respectively adjusting the 2D digital person image and the digital business card in response to the feedback instruction.
And a user feedback module: the user can provide feedback for the generated 2D digital persona or digital business card, and the system adjusts and optimizes according to the feedback. The module can adopt an online learning algorithm, and dynamically adjust parameters of the generation module and the design module according to feedback of a user.
In an alternative embodiment, the system further comprises: and the output module is in communication connection with the digital business card generation module 103 and is used for receiving the digital business card and outputting the digital business card according to at least one data format.
And an output module: and outputting the generated digital business card to a user. The module can support various output formats, such as PDF, JPEG and the like, and supports sharing of the generated digital business card by means of e-mail, social media and the like.
In an alternative embodiment, the output module is configured to output the generated digital business card in electronic form or in printed form.
And an output module: and outputting the generated digital business card to a user. The module can support various output formats, such as PDF, JPEG and the like, and supports sharing of the generated digital business card by means of e-mail, social media and the like.
In an alternative embodiment, the business card design submodule includes: the identification unit is used for identifying the target data information and determining the design information of the target object; the matching unit is used for matching colors, fonts and layouts corresponding to the design information from a preset database based on the design information; and the business card design unit is used for generating the digital business card based on the colors, the fonts and the layout.
And designing the digital business card according to the integrated information. The sub-module can adopt a graphic design algorithm to automatically select the colors, fonts and layout of the business card according to the preference of the user and the industry standard. For example, the algorithm may select the business card color based on a common color scheme of the industry in which the user is located, or the font style according to the user's preference. Such algorithms may optimize design choices by learning user feedback and industry trends.
The system for making AI digital business cards based on 2D digital persons in this embodiment is presented in the form of functional units, where the functional units are ASIC (Application SPECIFIC INTEGRATED Circuit) circuits, processors and memories that execute one or more software or firmware programs, and/or other devices that can provide the above functions.
In accordance with an embodiment of the present invention, there is provided a method embodiment for making an AI digital business card based on a 2D digital person, it being noted that the steps shown in the flowchart of the figures may be performed in a computer system, such as a set of computer executable instructions, and that, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order other than that shown herein.
In this embodiment, a method for manufacturing an AI digital business card based on a 2D digital person is provided, which can be used in the system for manufacturing an AI digital business card based on a 2D digital person, and fig. 2 is a schematic flow chart of a method for manufacturing an AI digital business card based on a 2D digital person according to an embodiment of the invention, as shown in fig. 2, the flow chart includes the following steps:
In step S201, identity information and other information input by the target object are acquired.
Step S202, generating a 2D digital persona based on the identity information.
Step S203, generating a digital business card based on the 2D digital person image and other information.
In an alternative embodiment, the step S202 includes:
in step S2021, feature extraction processing is performed on the identity information to obtain a target feature.
Step S2022, processing the target feature to generate a 2D digital human figure.
In an alternative embodiment, the step S203 includes:
step S2031, integrating the 2D digital person image and other information to obtain the target data information.
Step S2032, performing graphic design processing on the target data information to generate a digital business card.
In an alternative embodiment, the method further comprises:
And receiving a feedback instruction sent by the target object, and respectively adjusting the 2D digital person image and the digital business card in response to the feedback instruction.
In an alternative embodiment, the method further comprises: and receiving the digital business card and outputting the digital business card according to at least one data format.
In an alternative embodiment, receiving a digital business card and outputting the digital business card in at least one data format includes: and outputting the generated digital business card in an electronic form or a printing form.
In an alternative embodiment, the step S2032 includes:
and a1, identifying target data information and determining design information of a target object.
And a step a2, based on the design information, matching colors, fonts and layouts corresponding to the design information from a preset database.
And a step a3, generating the digital business card based on the color, the font and the layout.
The embodiments of the above methods are the same as the embodiments of the corresponding systems described above, and are not described herein.
The embodiment of the invention also provides computer equipment, which is provided with the system for manufacturing the AI digital business card based on the 2D digital person shown in the figure 1.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, and as shown in fig. 3, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 3.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform a method for implementing the embodiments described above.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (10)
1. A system for making AI digital business cards based on 2D digital people, comprising:
the user information input module is used for acquiring identity information and other information input by the target object;
the 2D digital person generating module is in communication connection with the user information input module and is used for receiving the identity information and generating a 2D digital person image based on the identity information;
the digital business card generation module is respectively connected with the 2D digital person generation module and the user information input module in a communication way, and is used for receiving the 2D digital person image and the other information and generating the digital business card based on the 2D digital person image and the other information.
2. The system for making AI digital business cards based on 2D digital persons according to claim 1, wherein the 2D digital person generating module comprises:
The feature extraction sub-module is in communication connection with the 2D digital person generation module and is used for carrying out feature extraction processing on the identity information to obtain target features;
And the image generation sub-module is in communication connection with the feature extraction sub-module and is used for processing the target features and generating the 2D digital human image.
3. The system for making AI digital business cards based on 2D digital people according to any one of claims 1-2, wherein the digital business card generating module comprises:
The information integration sub-module is used for integrating the 2D digital human figure and the other information to obtain target data information;
and the business card design sub-module is in communication connection with the information integration sub-module and is used for carrying out graphic design processing on the target data information to generate the digital business card.
4. The system for making AI digital business cards based on 2D digital people of claim 1, further comprising:
and the user feedback module is respectively connected with the digital business card generation module and the 2D digital person generation module in a communication way, and is used for receiving a feedback instruction sent by a target object and respectively adjusting the 2D digital person image and the digital business card in response to the feedback instruction.
5. The system for making AI digital business cards based on 2D digital people of claim 1, further comprising:
and the output module is in communication connection with the digital business card generation module and is used for receiving the digital business card and outputting the digital business card according to at least one data format.
6. The system for making AI digital business cards based on 2D digital people of claim 5, wherein the output module is used for outputting the generated digital business cards in electronic form or in printed form.
7. A system for creating AI digital business cards based on 2D digital persons as in claim 3, wherein the business card design submodule includes:
the identification unit is used for identifying the target data information and determining the design information of the target object;
the matching unit is used for matching colors, fonts and layouts corresponding to the design information from a preset database based on the design information;
And the business card design unit is used for generating the digital business card based on the color, the font and the layout.
8. A method for making an AI digital business card based on a 2D digital person, wherein the method is applied to the system for making an AI digital business card based on a 2D digital person according to any one of claims 1 to 7, and the method comprises:
Acquiring identity information and other information input by a target object;
Generating a 2D digital persona based on the identity information;
and generating the digital business card based on the 2D digital person image and the other information.
9. A computer device, comprising: the system comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, so that the method for manufacturing the AI digital business card based on the 2D digital person in claim 8 is executed.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the 2D digital person-based AI digital business card method of claim 8.
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| CN202311864949.1A CN118096939A (en) | 2023-12-29 | 2023-12-29 | System, method, equipment and medium for manufacturing AI digital business card based on 2D digital person |
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| CN202311864949.1A CN118096939A (en) | 2023-12-29 | 2023-12-29 | System, method, equipment and medium for manufacturing AI digital business card based on 2D digital person |
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