CN108765276A - A kind of market fitting mirror and its control method based on Internet of Things - Google Patents
A kind of market fitting mirror and its control method based on Internet of Things Download PDFInfo
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- CN108765276A CN108765276A CN201810561648.4A CN201810561648A CN108765276A CN 108765276 A CN108765276 A CN 108765276A CN 201810561648 A CN201810561648 A CN 201810561648A CN 108765276 A CN108765276 A CN 108765276A
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- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000003860 storage Methods 0.000 claims abstract description 19
- 238000010586 diagram Methods 0.000 claims abstract description 9
- 238000012545 processing Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 6
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000003203 everyday effect Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 description 5
- 230000006855 networking Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000008521 reorganization Effects 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 241000220324 Pyrus Species 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006386 neutralization reaction Methods 0.000 description 1
- 235000021017 pears Nutrition 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/04—Context-preserving transformations, e.g. by using an importance map
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47G—HOUSEHOLD OR TABLE EQUIPMENT
- A47G1/00—Mirrors; Picture frames or the like, e.g. provided with heating, lighting or ventilating means
- A47G1/02—Mirrors used as equipment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/16—Cloth
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Graphics (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Processing Or Creating Images (AREA)
Abstract
The present invention provides a kind of market fitting mirror and its control method based on Internet of Things, includes the following steps:S1 receives user information, and threedimensional model and the storage of user are generated by D modeling tool;S2 receives image information, identifies the corresponding color of the corresponding human body of each pixel and the position;Corresponding clothes are suggested in clothes in S3 matchings shop, selection and collocation;The each element marking for the garment image that S4 obtains matched clothes in shop or network;S5 obtains the three-dimensional model diagram that user generates in advance, the pixel correspondence of label is illustrated on three-dimensional model diagram, and show the pixel of not covered label;Threedimensional models of the S6 based on user exports the collocation suggestion in collocation result and step S3 over the display in the way of threedimensional model displaying;S7 preserves the final choice of user;S8 selects user to be uploaded to server by network interface, is downloaded for user's other-end.
Description
Technical field
The present invention relates to a kind of smart home more particularly to a kind of market fitting mirrors and its controlling party based on Internet of Things
Method.
Background technology
Intelligent mirror is the important embodiment that science and technology incorporates life, and present public technology has been realized in mirror networking
Function, can be when using mirror, mirror show real-time information, can also pass through and be remotely controlled standard apparatus realization information
Switching is to show the required information of user, or passes through identification user's face image, the corresponding information of intelligent display user.
Mirror is main or based on traditional purposes as a household items, for example, provide the wearing the clothes of intelligence,
Collocation system can allow user directly to see the effect of collocation, in terms of this, Intelligent mirror at this stage also need to more into
The Intelligent improvement of one step is used for market fitting mirror.
Invention content
Goal of the invention:The present invention is made up existing by providing a kind of market fitting mirror and its control method based on Internet of Things
The deficiency of stage fitting.
Technical solution:The invention is realized by the following technical scheme:
A kind of control method of the market fitting mirror based on Internet of Things, includes the following steps:
S1 receives user information, and threedimensional model and the storage of user are generated by D modeling tool;
S2 receives image information, identifies the color of the corresponding human body of each pixel and pixel;
Corresponding clothes are suggested in clothes in S3 matchings shop, selection and collocation;
S4 is by each element marking of matched clothes in wardrobe;
S5 obtains the three-dimensional model diagram that user generates in advance, and the pixel correspondence of label is illustrated on three-dimensional model diagram, and is shown
Show not covered pixel;
Threedimensional models of the S6 based on user, by threedimensional model displaying in the way of on the display output collocation result and
Collocation is suggested;
S7 preserves the final choice of user;
S8 selects user to be uploaded to server by network interface, is downloaded for user's other-end.
It is in step sl, further comprising the steps of after receiving user information as a preferred embodiment of the present invention:
S11 judges the skin attribute of user according to the user information of receiving;
S12 selects the colour system range for being suitble to user according to the skin attribute of user.
As a preferred embodiment of the present invention, which is characterized in that in step sl, after receiving user information, further include
Following steps:
S13 judges the build of user according to the user information of receiving;
S14 selects the types of garments for being suitble to user according to the build of user;The types of garments includes clothes version type, material, length
It is short.
As a preferred embodiment of the present invention, in step s3, in conjunction with environment instantly, obtains collocation evaluation result and take
With suggestion, further include:
S31 obtains user demand scene, and the demand scene includes:Formal scene, dinner party scene, everyday scenes, leisure scene,
Moving scene.
As a preferred embodiment of the present invention, in step s 5, S5 obtains matched clothes in wardrobe or network
Garment image each element marking, the pixel after label keeps color and the brightness of original picture.
As a preferred embodiment of the present invention, a kind of market fitting mirror based on Internet of Things, including:
Receiving module, for receiving user information and image information;
D modeling tool, the threedimensional model for generating user;
Memory module, including threedimensional model storage unit and personal information storage unit;Threedimensional model storage unit is for storing
The threedimensional model of user;The personal information storage unit is used for storing the historical record of user;
Judgment module, including image-human body judging unit, the corresponding human body of image pixel information for judging to receive
And the corresponding color in the position;
Processing module, for be based on colour match standard selection clothes, computation vision length ratios, obtain instantly environment to obtain
Must arrange in pairs or groups suggestion;It is additionally operable to the garment image in user's wardrobe that processing obtains and network picture pixels;
Output module is used for the human 3d model of output token pixel to display.
As a preferred embodiment of the present invention, the judgment module further includes skin attribute judgment module and user's build
Judgment module, the skin attribute judging unit are used for judging that the skin attribute of user, user's build judging unit are used for
Judge the build of user.
As a preferred embodiment of the present invention, the processing module is also used for skin attribute and build according to user
Judge the color and types of garments that are suitble to user.
As a preferred embodiment of the present invention, the receiving module includes user's scene receiving unit, the user
Scape requirement unit is used for receiving user's scene demand information.
Further include communication module as a preferred embodiment of the present invention, the communication module be used for by user select with
And the clothing information in user's wardrobe is sent to server, and for receiving the other users selection from server.
The present invention realizes following advantageous effect:
1. generating the threedimensional model of user, more real simulation fitting environment;
2. according to threedimensional model discriminating user identity, more intelligently;
3. obtaining network collocation information by networking, recommend in conjunction with clothes in oneself shop, recommends more efficient;
4. according to user's unique characteristics, it is more suitable to recommend;
The effect 5. pixel simulation is worn the clothes, experience are more direct;
6. networking obtains other people collocation as a result, the arranging scheme oneself liked can be selected.
Description of the drawings
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and consistent with the instructions for explaining the principles of this disclosure.
Fig. 1 be the present embodiments relate to fitting mirror control method flow chart;
Fig. 2 be the present embodiments relate to fitting mirror structural schematic diagram.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Embodiment one:
Mirror involved in the present invention is market fitting mirror, and the mode of networking is to be wirelessly connected.
According to Fig. 1, a kind of control method of the market fitting mirror based on Internet of Things, includes the following steps:
S1 receives user information, and threedimensional model and the storage of user are generated by D modeling tool 2;
Receive the characteristic at each position of the body of user, the ratio at each position of the threedimensional model of user and user's
The ratio at each position of body is identical.The D modeling tool 2 uses compiled Java3D codes, is built using curved surface
Mould, for arm, leg, trunk, head use space data point triangulation method, realize by two-dimensional silhouette to three-dimensional people
The reconstruct of body.
S2 receives image information, identifies the corresponding color of the corresponding human body of each pixel and the position;
The premise of the step is that user's dress is more than dress, receives the image information that image information is clothes, judges clothes
Style, color, material;
Corresponding clothes are suggested in clothes in S3 matchings shop, selection and collocation;
In the present system, salesman inputs one's own clothes in advance, and the input mode is user hand rewritable type number, material, face
Color, brightness;System is inputted according to user, shows that corresponding possible photo is selected to user;Input mode can also be to connect
Dress ornament website is connect, brand dress ornament is introduced directly into;
The each element marking for the garment image that S4 obtains matched clothes in shop or network;
Picture in the step specifically includes:The picture of dress ornament is the clothes that can be worn recommended to user in shop, and network obtains
Picture be that the clothes of purchase, accessories, Bao Bao, shoes etc. can be considered to what user recommended.
S5 obtains the three-dimensional model diagram that user generates in advance, and the pixel correspondence of label is illustrated on three-dimensional model diagram,
And show the pixel of not covered label;
The specific threedimensional model that can be understood as shows that the effect that user wears the clothes, the premise of this step are the sizes of the clothes obtained
It needing correctly, the reduced scale of clothes is consistent with person model reduced scale, when effect is worn the clothes in display, covered clothing
It takes corresponding pixel to be deleted, only shows not covered pixel, the pixel after label keeps the color of original picture and bright
Brightness.
Threedimensional models of the S6 based on user exports collocation result on the display in the way of threedimensional model displaying
Suggest with collocation;
The result is that being shown with graphics, the collocation suggestion is shown using word combination caption for the collocation.
S7 preserves the final choice of user.
The selection of user is uploaded onto the server, server storage selects information, the selection information to add in server
Close, others does not have the selection information that secret key cannot check user, the clothes to disclose storage;
S8 selects user to be uploaded to server by network interface, is downloaded for user's other-end.
Preferably, in step sl, further comprising the steps of after receiving user information:
S11 judges the skin attribute of user according to the user information of receiving;
By receiving the image information of the face of user, the characteristic of facial information is recorded, passes through face feature number first
It is judged that the race that user belongs to, then judges the colour of skin attribute of user according to the intraracial skin color range.The skin category
Property is divided into:Partially white warm colour, partially white cool colour, partially black cool colour, partially black warm colour.
S12 selects the colour system range for being suitble to user according to the skin attribute of user.The colour system range includes that user is suitble to
Color gamut and colour match after be still adapted to the color of user.For example, the uncomfortable suitable bright yellow of the skin of cool colour, then bright
Yellow is not in suitable color gamut, but bright yellow and blue refer to the skin of suitable cool colour after neutralization, then bright yellow+blue exists
Within the scope of the colour system of user.
Preferably, which is characterized in that in step sl, further comprising the steps of after receiving user information:
S13 judges the build of user according to the user information of receiving;
The build includes:Healthy and strong, fat, thin and weak, high, short, apple shape, pears type, rectangle, hourglass shape;
S14 selects the types of garments for being suitble to user according to the build of user;The types of garments includes clothes version type, material, length
It is short.
The types of garments of the suitable user includes the clothes list product that user is suitble to, and collocation successor is so suitble to user's
Multiple clothes.
Preferably, in step s3, it in conjunction with environment instantly, obtains collocation evaluation result and collocation is suggested, further include:
S31 obtains user demand scene, and the demand scene includes:Formal scene, dinner party scene, everyday scenes, leisure scene,
Moving scene.
Embodiment two:
According to figure two, a kind of market fitting mirror based on Internet of Things, including:
Receiving module 1, including user information receiving unit 11, image information receiving unit 12, the user information receiving unit
11 for receiving user images information, and user's input information, described image information receiving unit 12 is for receiving network image letter
Breath;
D modeling tool 2, the threedimensional model for generating user;It is calculated comprising a set of Java3D in the D modeling tool 2
Method, pixel separation algorithm and pixel reorganization algorithm, the Java3D algorithms are used for calculating user according to the physical trait of user
Threedimensional model, the pixel separation algorithm will be obtained using obtained size, clothes version type, clothing color from network
Picture carries out pixel and selects, and the threedimensional model of clothes, the three-dimensional mould of the clothes are then reduced into according to the three-dimensional feature of clothes
Type is made of different pixels point, and the pixel reorganization algorithm is used for the relatively corresponding of clothes threedimensional model being moved to human body
On threedimensional model, shaded side is done into certain gray scale and is adjusted, by the pixel point deletion at covering.When covering, consider preferential suitable
Sequence finally handles outermost clothes, deletes internal covered inactive pixels point after having handled again.
Memory module 3, including threedimensional model storage unit 31 and personal information storage unit 32;Threedimensional model storage unit
31 threedimensional model for storing user;The personal information storage unit 32 is used for storing the historical record of user;Each not
Different threedimensional model storages is corresponding under same user.
Judgment module 4, including image-human body judging unit 41, skin attribute judging unit 42, user's build judging unit
43;The corresponding human body of image pixel information and portion that described image-human body judging unit 41 is used to judge to receive
The corresponding color in position, the skin attribute judging unit 42 are used for judging that the skin attribute of user, user's build judge single
Member 43 is used for judging user's build;
Processing module is suggested for being based on colour match standard selection clothes, obtaining environment instantly to obtain collocation;It is additionally operable to
Handle the garment image and network picture pixels in the user shop obtained;
Output module is used for the human 3d model of output token pixel to display.
Preferably, the color that the processing module is also used for being judged to be suitble to user according to the skin attribute and build of user
And types of garments.
Preferably, the receiving module 1 further includes Weather information receiving unit 13 and user's scene receiving unit 13, described
Weather information receiving unit 13 is used for obtaining Weather information, and user's scene requirement unit is used for receiving user's scene demand letter
Breath.
Preferably, further include communication module, the communication module is used for believing the clothes in user's selection and user shop
Breath is sent to server, and for receiving the other users selection from server.
The above embodiments merely illustrate the technical concept and features of the present invention, and the purpose is to allow the skill for being familiar with the technical field
Art personnel can understand the content of the present invention and implement it accordingly, and can not be limited the scope of the invention with this.All bases
Equivalent changes or modifications made by spirit of the invention, should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of control method of the market fitting mirror based on Internet of Things, which is characterized in that include the following steps:
S1 receives user information, and threedimensional model and the storage of user are generated by D modeling tool;
S2 receives image information, identifies the color of the corresponding human body of each pixel and pixel;
Corresponding clothes are suggested in clothes in S3 matchings shop, selection and collocation;
S4 is by each element marking of matched clothes in wardrobe;
S5 obtains the three-dimensional model diagram that user generates in advance, and the pixel correspondence of label is illustrated on three-dimensional model diagram, and is shown
Show not covered pixel;
Threedimensional models of the S6 based on user, by threedimensional model displaying in the way of on the display output collocation result and
Collocation is suggested;
S7 preserves the final choice of user;
S8 selects user to be uploaded to server by network interface, is downloaded for user's other-end.
2. a kind of control method of market fitting mirror based on Internet of Things according to claim 1, which is characterized in that in step
It is further comprising the steps of after receiving user information in rapid S1:
S11 judges the skin attribute of user according to the user information of receiving;
S12 selects the colour system range for being suitble to user according to the skin attribute of user.
3. a kind of control method of market fitting mirror based on Internet of Things according to claim 1, which is characterized in that it is special
Sign is, in step sl, further comprising the steps of after receiving user information:
S13 judges the build of user according to the user information of receiving;
S14 selects the types of garments for being suitble to user according to the build of user;The types of garments includes clothes version type, material, length
It is short.
4. a kind of control method of market fitting mirror based on Internet of Things according to claim 1, which is characterized in that in step
In rapid S3, in conjunction with environment instantly, obtains collocation evaluation result and collocation is suggested, further include:
S31 obtains user demand scene, and the demand scene includes:Formal scene, dinner party scene, everyday scenes, leisure scene,
Moving scene.
5. a kind of control method of market fitting mirror based on Internet of Things according to claim 1, which is characterized in that in step
In rapid S5, each element marking for the garment image that S5 obtains matched clothes in wardrobe or network, the pixel after label
Keep color and the brightness of original picture.
6. a kind of market fitting mirror based on Internet of Things, including:
Receiving module, for receiving user information and image information;
D modeling tool, the threedimensional model for generating user;
Memory module, including threedimensional model storage unit and personal information storage unit;Threedimensional model storage unit is for storing
The threedimensional model of user;The personal information storage unit is used for storing the historical record of user;
Judgment module, including image-human body judging unit, the corresponding human body of image pixel information for judging to receive
And the corresponding color in the position;
Processing module, for be based on colour match standard selection clothes, computation vision length ratios, obtain instantly environment to obtain
Must arrange in pairs or groups suggestion;It is additionally operable to the garment image in user's wardrobe that processing obtains and network picture pixels;
Output module is used for the human 3d model of output token pixel to display.
7. a kind of market fitting mirror based on Internet of Things according to claim 6, which is characterized in that the judgment module is also
Including skin attribute judgment module and user's build judgment module, the skin attribute judging unit is used for judging the skin of user
Attribute, user's build judging unit are used for judging the build of user.
8. a kind of market fitting mirror based on Internet of Things according to claim 6, which is characterized in that the processing module is also
For the color and types of garments for judging to be suitble to user according to the skin attribute of user and build.
9. a kind of market fitting mirror based on Internet of Things according to claim 6, which is characterized in that the receiving module packet
User's scene receiving unit is included, user's scene requirement unit is used for receiving user's scene demand information.
10. a kind of market fitting mirror based on Internet of Things according to claim 6, which is characterized in that further include communication mould
Block, the communication module are used for the clothing information in user's selection and user's wardrobe being sent to server, and for receiving
Other users selection from server.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2020107993A1 (en) * | 2018-11-26 | 2020-06-04 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method for pushing information and related products |
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Publication number | Priority date | Publication date | Assignee | Title |
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WO2020107993A1 (en) * | 2018-11-26 | 2020-06-04 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method for pushing information and related products |
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