CN111145288A - Target customer virtual imaging method - Google Patents
Target customer virtual imaging method Download PDFInfo
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- CN111145288A CN111145288A CN201911375872.5A CN201911375872A CN111145288A CN 111145288 A CN111145288 A CN 111145288A CN 201911375872 A CN201911375872 A CN 201911375872A CN 111145288 A CN111145288 A CN 111145288A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4038—Scaling the whole image or part thereof for image mosaicing, i.e. plane images composed of plane sub-images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
- G06T7/337—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving reference images or patches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/32—Indexing scheme for image data processing or generation, in general involving image mosaicing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
Abstract
The invention discloses a virtual imaging method of a target client, which comprises the steps of obtaining client data and basic data and storing the client data and the basic data into a system; calibrating customer data according to the self-owned data and the external data in the system; if the client data does not exist, the data is obtained again, and if the client data really exists, the data supplement of the client data is carried out; the system stores the supplemented client data; generating a corresponding client label by the client data; according to the platform imaging rule, matching the client label with the imaging cutting label to obtain an imaging cutting; and judging whether the matching is successful or not, and after the matching is successful, carrying out image processing on the imaging cutting image to form a client virtual portrait and displaying the client virtual portrait. The invention provides more visual basic characteristics with character business requirements for business activities, can better provide more accurate, convenient and fast memory and more vivid information processing and judgment for marketers, is convenient for the analysis of the marketers, predicts the future behaviors of customers, improves the working efficiency of the marketers and improves the unit yield.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a target customer virtual imaging method.
Background
The appearance image of the character can not reflect the commodity demand characteristics of people and the life quality. If the characteristics and the requirements of the target client are grasped by the marketing personnel to judge the appearance and the shape of the target client, judgment errors are caused, and the communication efficiency and the marketing efficiency are difficult to improve. With the development of big data technology, people have higher requirements for grasping the characteristics of target customers, and the requirements of judging the requirements of the target customers and the requirements of the product quality and the service quality by the characteristics of human eyesight, characters, language, voice and the like cannot meet the requirements of current marketing personnel on capturing the information characteristics of the target customers.
At present, the SCRM (social customer relationship management) in the market has a large requirement on figures of customers, and features are grouped by using the figures of the customers to realize tagging, so that business behaviors such as a faithful user, a core user, a target user and a potential user are found out, key information is matched, and marketing service is realized. The client portrait analyzes the basic information of the client through demographics, character characteristics, consumption capacity, interests, risk preference and the like, and is presented and used together with the production, circulation, operation, finance, sales, upstream and downstream data of related industrial chains and the like of enterprises. However, most of the forms are forms or labels, and still a service person is required to extract relevant information to analyze the characters of the client, so that the mode of displaying the user portrait by intuitive character images is not realized.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a target customer virtual imaging method.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method of target customer virtual imaging comprising the steps of:
s1, acquiring customer data and basic data and storing the data into the system;
s2, calibrating the customer data according to the own data and the external data in the system;
s3, if the customer data does not exist, the data is obtained again, if the customer data really exists, the data supplement of the customer data is carried out;
s4, the system stores the supplemented client data;
s5, generating a corresponding client label by the client data;
s6, matching the imaging cutting chart label with the client label according to the platform imaging rule to obtain an imaging cutting chart;
s7, judging whether the matching is successful; if the matching score of each item is higher than the set value, the matching is successful, if the matching scores of a plurality of items are lower than the set value and influence imaging, image processing is not carried out, and the steps S1-S6 are repeated, and then the matching is carried out again, so that the matching scores of all items are higher than the set value;
and S8, after the matching scores of all items are higher than the set values, performing image processing on the imaging cutting image to form a client virtual image and displaying the client virtual image.
Further, the step S1 of obtaining the customer data includes obtaining a name, a contact address, a name of a job company, and a position.
Furthermore, the client data is calibrated according to the contact information in the acquired client data, the self data and the plurality of items of external data, and the calibration is based on the same data sources. Further, the image processing process of the image cutting in step S8 includes the following steps:
s81, preprocessing the image;
s82, image registration: finding out the corresponding position of the template or the characteristic point in the images to be spliced in the reference image, and further determining the transformation relation between the two images;
s83, establishing a transformation model: calculating parameter values in the model according to the corresponding relation between the template or the image characteristics so as to establish a mathematical transformation model of the plurality of images;
s84, unified coordinate transformation: converting the images to be spliced into a coordinate system of a reference image according to the established mathematical conversion model to finish unified coordinate transformation;
s85, fusion reconstruction: and fusing the overlapped areas of the images to be spliced to obtain a spliced and reconstructed smooth and seamless panoramic client virtual portrait.
Further, the panoramic customer virtual image is stored in the customer file in step S85, and the synthesized panoramic customer virtual image is updated by the new customer data acquired in real time.
By adopting the technical scheme of the invention, the invention has the beneficial effects that: compared with the prior art, the method processes the collected target customer information, and performs image depiction with more obvious characteristics and more remarkable image according to the processed information, rather than the real physical appearance of the target customer. The invention provides more convenient and visual basic characteristics with character business requirements for business activities, can better provide more accurate, more convenient to remember and more vivid information processing and judgment for marketers, is convenient for the analysis of the marketers, predicts the future behaviors of customers, improves the working efficiency of the marketers and improves the unit rate.
Drawings
Fig. 1 is a flowchart of a virtual imaging method for a target customer according to the present invention.
Detailed Description
Specific embodiments of the present invention will be further described with reference to the accompanying drawings.
As shown, a target customer virtual imaging method includes the steps of:
s1, acquiring customer data and basic data and storing the data into the system; the step of obtaining the customer data comprises obtaining names, contact ways, names of the employment enterprises and positions; basic data such as social group, residential area, work area, circle of friends, hobbies, consumption behavior, product preference, service preference, consumption level, etc.
S2, calibrating the customer data according to the own data and the external data in the system; and calibrating the customer data according to the contact information in the obtained customer data, the owned data and the plurality of external data, wherein the calibration is based on the same data sources. It is now common to confirm whether the customers are the same by mobile phone number approval.
S3, if the customer data does not exist, the data is obtained again, if the customer data really exists, the data supplement of the customer data is carried out;
s4, the system stores the supplemented client data;
s5, generating a corresponding client label by the client data;
s6, matching the imaging cutting chart label with the client label according to the platform imaging rule to obtain an imaging cutting chart;
s7, judging whether the matching is successful; if the matching score of each item is higher than the set value, the matching is successful, if the matching scores of a plurality of items are lower than the set value and influence imaging, image processing is not carried out, and the steps S1-S6 are repeated, and then the matching is carried out again, so that the matching scores of all items are higher than the set value;
and S8, after the matching scores of all items are higher than the set values, performing image processing on the imaging cutting image to form a client virtual image and displaying the client virtual image. The virtual portrait can be displayed through equipment such as a flat plate and the like, and can be consulted by salesmen.
The image processing process of the image cutout in step S8 includes the steps of:
s81, preprocessing the image; the method comprises the basic operations of digital image processing (such as denoising, edge extraction, histogram processing and the like), establishing a matching template of an image, performing certain transformation (such as Fourier transformation, wavelet transformation and the like) on the image and the like.
S82, image registration: finding out the corresponding position of the template or the characteristic point in the images to be spliced in the reference image, and further determining the transformation relation between the two images;
s83, establishing a transformation model: calculating parameter values in the model according to the corresponding relation between the template or the image characteristics so as to establish a mathematical transformation model of the plurality of images;
s84, unified coordinate transformation: converting the images to be spliced into a coordinate system of a reference image according to the established mathematical conversion model to finish unified coordinate transformation;
s85, fusion reconstruction: and fusing the overlapped areas of the images to be spliced to obtain a spliced and reconstructed smooth and seamless panoramic client virtual portrait.
The panoramic customer virtual image is stored in the customer file in step S85, and the synthesized panoramic customer virtual image is updated with new customer data acquired in real time.
According to the platform imaging rule, for example, according to the age stage, the imaging cut pictures are 18-30 young-year images or 30-45 middle-year images, special imaging cut picture clothes, such as professional clothes, are matched according to different professions, the imaging cut pictures of object types are added according to identities, such as a boss is a high-end automobile, and a baby mother is a baby carriage. And for example, the labels of the male, the male ages of 18-25, the height of 180, the weight of 70 kilograms, the basketball hobby client are matched with imaging cutout pictures of face outlines of the male ages of 18-25, the hair style of the male, the height of 180, the weight of 70 kilograms, the four limbs of the male body, the basketball scene and the like, the labels of the client are matched with imaging cutout pictures of red face complexion and the like if the label of the client is temperament, and corresponding labels are generated according to the client data, so that a panoramic virtual portrait of the client is formed, corresponding characteristics of the client are displayed in a straight white and clear manner, the virtual portrait is conveniently and directly obtained by a salesman through a display platform, preference characteristics of the client can be found visually, the unit forming rate.
The setting value in step S7 may be, for example, 100 points in total, and the cumulative score of the label corresponding to each imaging cutting chart reaches 80 points as the setting value, i.e., the matching is successful.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (5)
1. A method of target customer virtual imaging comprising the steps of:
s1, acquiring customer data and basic data and storing the data into the system;
s2, calibrating the customer data according to the own data and the external data in the system;
s3, if the customer data does not exist, the data is obtained again, if the customer data really exists, the data supplement of the customer data is carried out;
s4, the system stores the supplemented client data;
s5, generating a corresponding client label by the client data;
s6, matching the imaging cutting chart label with the client label according to the platform imaging rule to obtain an imaging cutting chart;
s7, judging whether the matching is successful; if the matching score of each item is higher than the set value, the matching is successful, if the matching scores of a plurality of items are lower than the set value and influence imaging, image processing is not carried out, and the steps S1-S6 are repeated, and then the matching is carried out again, so that the matching scores of all items are higher than the set value;
and S8, after the matching scores of all items are higher than the set values, performing image processing on the imaging cutting image to form a client virtual image and displaying the client virtual image.
2. The method as claimed in claim 1, wherein said step of obtaining customer data in step S1 includes obtaining name, contact address, job title, and job position.
3. The method as claimed in claim 1 or 2, wherein the client profile calibration is performed based on the contact information in the acquired client profile, the self-owned data and the plurality of external data, and the calibration is performed based on the plurality of data sources being the same.
4. The method for virtual imaging of a target client as claimed in claim 1, wherein the image processing of the image cut in step S8 comprises the steps of:
s81, preprocessing the image;
s82, image registration: finding out the corresponding position of the template or the characteristic point in the images to be spliced in the reference image, and further determining the transformation relation between the two images;
s83, establishing a transformation model: calculating parameter values in the model according to the corresponding relation between the template or the image characteristics so as to establish a mathematical transformation model of the plurality of images;
s84, unified coordinate transformation: converting the images to be spliced into a coordinate system of a reference image according to the established mathematical conversion model to finish unified coordinate transformation;
s85, fusion reconstruction: and fusing the overlapped areas of the images to be spliced to obtain a spliced and reconstructed smooth and seamless panoramic client virtual portrait.
5. A method for target client virtual imaging as claimed in claim 1, wherein the panoramic client virtual image is stored in the client file in step S85 and the composite panoramic client virtual image is updated with new client data acquired in real time.
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| CN201911375872.5A CN111145288A (en) | 2019-12-27 | 2019-12-27 | Target customer virtual imaging method |
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| CN201911375872.5A CN111145288A (en) | 2019-12-27 | 2019-12-27 | Target customer virtual imaging method |
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| CN107609487A (en) * | 2017-08-17 | 2018-01-19 | 北京三快在线科技有限公司 | A kind of generation method and device of user's head portrait |
| CN107730269A (en) * | 2017-07-21 | 2018-02-23 | 南通大学 | A kind of Electricity customers portrait method of Behavior-based control analysis |
| CN108510437A (en) * | 2018-04-04 | 2018-09-07 | 科大讯飞股份有限公司 | A kind of virtual image generation method, device, equipment and readable storage medium storing program for executing |
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- 2019-12-27 CN CN201911375872.5A patent/CN111145288A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107730269A (en) * | 2017-07-21 | 2018-02-23 | 南通大学 | A kind of Electricity customers portrait method of Behavior-based control analysis |
| CN107609487A (en) * | 2017-08-17 | 2018-01-19 | 北京三快在线科技有限公司 | A kind of generation method and device of user's head portrait |
| CN108510437A (en) * | 2018-04-04 | 2018-09-07 | 科大讯飞股份有限公司 | A kind of virtual image generation method, device, equipment and readable storage medium storing program for executing |
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