CN105551037A - User garment size matching method and system and intelligent mirror - Google Patents
User garment size matching method and system and intelligent mirror Download PDFInfo
- Publication number
- CN105551037A CN105551037A CN201510916801.7A CN201510916801A CN105551037A CN 105551037 A CN105551037 A CN 105551037A CN 201510916801 A CN201510916801 A CN 201510916801A CN 105551037 A CN105551037 A CN 105551037A
- Authority
- CN
- China
- Prior art keywords
- user
- image
- global
- body part
- parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000000605 extraction Methods 0.000 claims description 29
- 238000005259 measurement Methods 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 10
- 239000000284 extract Substances 0.000 description 10
- 230000008878 coupling Effects 0.000 description 7
- 238000010168 coupling process Methods 0.000 description 7
- 238000005859 coupling reaction Methods 0.000 description 7
- 230000001143 conditioned effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000006698 induction Effects 0.000 description 2
- 239000012141 concentrate Substances 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000007514 turning Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- 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
-
- 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
- G06T2207/10024—Color image
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The invention relates to a method and a system for matching the clothing size of a user and an intelligent mirror, wherein the method comprises the following steps: acquiring a global image of a user, and acquiring a body image of the user according to the global image; extracting the position of a preset body part according to the body image of the user; calculating according to the extracted position of the preset body part to obtain a body parameter of the user; and acquiring and outputting the user size matched with the body parameters of the user according to a preset database. When a user needs to buy clothes, the user can automatically match a proper size according to the obtained body image of the user, so that the user can conveniently select the clothes, the efficiency is high, mistakes are not easy to occur, and the matching convenience is improved.
Description
Technical field
The present invention relates to technical field of information processing, particularly relate to a kind of user's garment size matching process, system and Intelligent mirror.
Background technology
The product competitiveness of apparel brand all at the fitness asking most clothes, and then improves in garment marketing business and garment production producer.According to human body triumph condition difference, the product type selecting different size is needed for clothes, trousers, footwear etc.Country variant, different regions and different brands, in design with when producing respective commodity, can adjust respective size specification according to the demand of respective target customers, cause the similar commodity marking identical size to there is the situation that difference is experienced in dress.
Traditional user's garment size matching process is the body sizes of telling salesman oneself when client buys clothes to clothes shop, or by the body sizes of salesman's in-site measurement client, so that salesman selects the clothes of coupling for client.Client often needs when buying clothes to spend more time and efforts just can choose the clothes of oneself size suitable, and traditional user's garment size matching process exists the low shortcoming of convenience.
Summary of the invention
Based on this, be necessary for the problems referred to above, the user's garment size matching process, system and the Intelligent mirror that provide a kind of convenience high.
A kind of user's garment size matching process, comprises the following steps:
Obtain the global image of user, and obtain user's body image according to described global image;
The position of body part is preset according to described user's body image zooming-out;
Position calculation according to the described default body part extracted obtains user's body parameter;
Obtain with user's size of described user's body parameter matching according to presetting database and export.
A kind of user's garment size matching system, comprising:
Image collection module, for obtaining the global image of user, and obtains user's body image according to described global image;
Position extraction module, for presetting the position of body part according to described user's body image zooming-out;
Parameter extraction module, for obtaining user's body parameter according to the position calculation of the described default body part extracted;
Size matching module, for obtaining with user's size of described user's body parameter matching according to presetting database and exporting.
A kind of Intelligent mirror, comprises above-mentioned user's garment size matching system.
Above-mentioned user's garment size matching process, system and Intelligent mirror, obtain the global image of user, and obtain user's body image according to global image; The position of body part is preset according to user's body image zooming-out; Position calculation according to the default body part extracted obtains user's body parameter; Obtain with user's size of user's body parameter matching according to presetting database and export.Automatically, can go out suitable size according to the user's body images match of acquisition when user needs to buy clothes, select so that user carries out clothes, efficiency is high and not easily make mistakes, and improves coupling convenience.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of user's garment size matching process in an embodiment;
Fig. 2 is the process flow diagram of user's garment size matching process in another embodiment;
Fig. 3 is the structural drawing of user's garment size matching system in an embodiment;
Fig. 4 is the structural drawing of user's garment size matching system in another embodiment.
Embodiment
A kind of user's garment size matching process, as shown in Figure 1, comprises the following steps:
Step S110: the global image obtaining user, and obtain user's body image according to global image.Needed for user, types of garments is different, and the concrete mode obtaining user's global image also can be corresponding different.After obtaining the global image of user, specifically can extract the human body contour outline of user as user's body image from global image, in addition, also can be separated further, the profile obtaining clothes or trousers etc., equally as a part for user's body image, is convenient to follow-uply carry out size coupling.Wherein in an embodiment, global image comprises direct picture and side image, and user's body image comprises health direct picture and health side image.Step S110 comprises step 112 to step 116.
Step 112: the camera arranged by correspondence obtains direct picture and the side image of user.Respectively front and side shooting are carried out to user by the camera of corresponding setting in advance, obtain direct picture and the side image of user.Be appreciated that the mode obtaining direct picture and side image is not unique.As another embodiment alternatively, the direct picture of described user and side image also can be the photos comprising user front and user side respectively that user is taken by other filming apparatus.
Step 114: process is carried out to direct picture and obtains health direct picture.The direct picture acquired is processed, specifically can be different from the color of background image according to direct picture, background image is filtered, obtains health direct picture.
Step 116: process is carried out to side image and obtains health side image.Equally can be different from the color of background image according to side image, background image is filtered, obtains health side image.
Carry out taking to user by camera and obtain the global image of user, thus image procossing is carried out to global image obtain user's body image, simple and quick.Being appreciated that in other embodiments, also can be set up human 3d model as global image by carrying out scanning to user, and the model according to setting up can obtain user's body image equally, and then for extracting the position of default body part.
Step S130: the position of presetting body part according to user's body image zooming-out.The particular type presetting body part can be arranged according to the actual requirements, and the body parameter that such as can calculate according to actual needs is determined, presets body part and comprise head, shoulder, chest and pin in the present embodiment.After extraction obtains user's body image, extract the position of presetting body part place according to the body contour in user's body image, specifically can carry out analyzing and processing to body contour, obtain and meet pre-conditioned position as corresponding body part position.Such as using the line segment of body contour approximate circle arc as head, will the line segment at approximate 90 degree of turnings as shoulder etc.Also can be by preset standard human body image, standardized human body's image indicates corresponding position of presetting body part, by the user's body image that acquires and standardized human body's image ratio pair, identify the body part of desired seek fast.
Step S150: the position calculation according to the default body part extracted obtains user's body parameter.To comprise head, shoulder, chest and pin corresponding with default body part, and in the present embodiment, user's body parameter specifically can comprise height, shoulder breadth and chest measurement.Step S150 specifically can comprise step 152 and step 154.
Step 152: according to the position of head, shoulder, chest and pin in user's body image, calculate the height on user's body image, shoulder breadth and chest measurement.Particularly, according to the position of the head found in user's body image, shoulder, chest and pin, the distance of user's body image top to pin can be calculated respectively, the distance of two shoulders, the width of chest and thickness, and then height, shoulder breadth and the chest measurement on user's body image can be calculated.
Step 154: according to the height on user's body image, shoulder breadth and chest measurement, and the dimension scale preset calculates the height of user's reality, shoulder breadth and chest measurement.In user's physical size that can calculate according to the distance of camera and human body in advance and user's body image, the dimension scale of size is preserved, after obtaining the height in the body image of family, shoulder breadth and chest measurement, the height of user's reality, shoulder breadth and chest measurement can be calculated in conjunction with proportional sizes, thus obtain user's body parameter.
Step S160: obtain with user's size of user's body parameter matching according to presetting database and export.The garment dimension parameter of different brands and the corresponding relation of size can be stored in advance in a database, after obtaining user's body parameter, specifically can screen associated garments dimensional parameters in conjunction with user-selected brand, thus obtain the size of the most applicable active user.Such as, the most suitable size matched the user of height 155cm, shoulder breadth 35cm, chest measurement 88 is schoolgirl M code.Being appreciated that in other embodiments, also can be in advance the garment dimension parameter of different brands is set up corresponding data collection, directly can concentrate at corresponding data and screen, obtain the size of the most applicable active user after obtaining user's body parameter.Exporting user's size can be specifically by display screen or numeral method, also can be broadcast size by sound broadcasting device.
Wherein in an embodiment, as shown in Figure 2, after step S110, before step S130, user's garment size matching process also comprises step S120.
Step S120: judge whether to recognize user's body image; If so, then step S130 is carried out; If not, then step S110 is returned.Detect after step silo and whether recognize user's body image, by judging that whether clear the judging whether of the profile of user's body image recognizes user's body image in the present embodiment, after the user's body image that global image process is obtained, meet pre-conditioned if detect its contour sharpness, think and recognized user's body image.Detected by step S120, if unidentified to user's body image, the global image again obtaining user, to extract user's body image, carries out parameter extraction operation so that follow-up, improves data and extracts reliability.
Wherein in an embodiment, continue with reference to Fig. 2, after step S130, before step S150, user's garment size matching process also comprises step S140.
Step S140: judge whether the position of extracting all default body parts.If so, then step S150 is carried out; If not, then step S110 is returned.After step s 130, if do not extract the position of all default body parts from user's body image, then again obtain the global image of user to extract user's body image, until extract the position of all default body parts from user's body image, so that follow-up body parameter calculates, improve data processing reliability.
It should be noted that, above is all explain user's garment size matching process for the apparel size of match user, but is not limit its scope of application.Such as user's garment size matching process is applicable to equally and mates user's shoes size, when subscriber station is at induction region, the image that obtains is scanned as global image to user's sole profile, user's sole parameter can be calculated according to scanning the image obtained, thus most suitable shoes size can be screened from database.
Above-mentioned user's garment size matching process, obtains the global image of user and obtains user's body image according to global image; The position of body part is preset according to user's body image zooming-out.Position calculation according to the default body part extracted obtains user's body parameter; Obtain with user's size of user's body parameter matching according to presetting database and export.Automatically, can go out suitable size according to the user's body images match of acquisition when user needs to buy clothes, select so that user carries out clothes, efficiency is high and not easily make mistakes, and improves coupling convenience.
Present invention also offers a kind of user's garment size matching system, as shown in Figure 3, comprise image collection module 110, position extraction module 130, parameter extraction module 150 and size matching module 160.
Image collection module 110 for obtaining the global image of user, and obtains user's body image according to global image.Needed for user, types of garments is different, and the concrete mode obtaining user's global image also can be corresponding different.After obtaining the global image of user, specifically can extract the human body contour outline of user as user's body image from global image, in addition, also can be separated further, the profile obtaining clothes or trousers etc., equally as a part for user's body image, is convenient to follow-uply carry out size coupling.Wherein in an embodiment, global image comprises direct picture and side image, and user's body image comprises health direct picture and health side image.Image collection module 110 comprises image acquisition unit, the first processing unit and the second processing unit.
The camera that image acquisition unit is used for being arranged by correspondence obtains direct picture and the side image of user.Respectively front and side shooting are carried out to user by the camera of corresponding setting in advance, obtain direct picture and the side image of user.Be appreciated that the mode obtaining direct picture and side image is not unique.As another embodiment alternatively, the direct picture of described user and side image also can be the photos comprising user front and user side respectively that user is taken by other filming apparatus.
First processing unit is used for carrying out process to direct picture and obtains health direct picture.The direct picture acquired is processed, specifically can be different from the color of background image according to direct picture, background image is filtered, obtains health direct picture.
Second processing unit is used for carrying out process to side image and obtains health side image.Equally can be different from the color of background image according to side image, background image is filtered, obtains health side image.
Carry out taking to user by camera and obtain the global image of user, thus image procossing is carried out to global image obtain user's body image, simple and quick.Being appreciated that in other embodiments, also can be set up human 3d model as global image by carrying out scanning to user, and the model according to setting up can obtain user's body image equally, and then for extracting the position of default body part.
Position extraction module 130 is for presetting the position of body part according to user's body image zooming-out.The particular type presetting body part can be arranged according to the actual requirements, and the body parameter that such as can calculate according to actual needs is determined, presets body part and comprise head, shoulder, chest and pin in the present embodiment.After extraction obtains user's body image, extract the position of presetting body part place according to the body contour in user's body image, specifically can carry out analyzing and processing to body contour, obtain and meet pre-conditioned position as corresponding body part position.
Parameter extraction module 150 is for obtaining user's body parameter according to the position calculation of the default body part extracted.To comprise head, shoulder, chest and pin corresponding with default body part, and in the present embodiment, user's body parameter specifically can comprise height, shoulder breadth and chest measurement.Parameter extraction module 150 specifically can comprise the first extraction unit and the second extraction unit.
First extraction unit is used for the position according to head, shoulder, chest and pin in user's body image, calculates the height on user's body image, shoulder breadth and chest measurement.Particularly, according to the position of the head found in user's body image, shoulder, chest and pin, the distance of user's body image top to pin can be calculated respectively, the distance of two shoulders, the width of chest and thickness, and then height, shoulder breadth and the chest measurement on user's body image can be calculated.
Second extraction unit is for according to the height on user's body image, shoulder breadth and chest measurement, and the dimension scale preset calculates the height of user's reality, shoulder breadth and chest measurement.In user's physical size that can calculate according to the distance of camera and human body in advance and user's body image, the dimension scale of size is preserved, after obtaining the height in the body image of family, shoulder breadth and chest measurement, the height of user's reality, shoulder breadth and chest measurement can be calculated in conjunction with proportional sizes, thus obtain user's body parameter.
Size matching module 160 is for obtaining with user's size of user's body parameter matching according to presetting database and exporting.The garment dimension parameter of different brands and the corresponding relation of size can be stored in advance in a database, after obtaining user's body parameter, specifically can screen associated garments dimensional parameters in conjunction with user-selected brand, thus obtain the size of the most applicable active user.Exporting user's size can be specifically by display screen or numeral method, also can be broadcast size by sound broadcasting device.
Wherein in an embodiment, as shown in Figure 4, user's garment size matching system also comprises image judge module 120.
Image judge module 120 is for obtaining the global image of user in image collection module 110, and after obtaining user's body image according to global image, position extraction module 130 judges whether to recognize user's body image before presetting the position of body part according to user's body image zooming-out; If so, then controlling position extraction module 130 presets the position of body part according to user's body image zooming-out; If not, then control the global image that image collection module 110 obtains user again, and obtain user's body image according to global image.
By judging that whether clear the judging whether of the profile of user's body image recognizes user's body image in the present embodiment, after the user's body image that global image process is obtained, meet pre-conditioned if detect its contour sharpness, think and recognized user's body image.If unidentified to user's body image, the global image again obtaining user, to extract user's body image, carries out parameter extraction operation so that follow-up, improves data and extracts reliability.
Wherein in an embodiment, continue with reference to Fig. 4, user's garment size matching system also comprises position judge module 140.
Position judge module 140 is for after presetting the position of body part at position extraction module 130 according to user's body image zooming-out, parameter extraction module 150 judges whether the position of extracting all default body parts before obtaining user's body parameter according to the position calculation of the default body part extracted; If so, then controling parameters extraction module 150 obtains user's body parameter according to the position calculation of the default body part extracted; If not, then control the global image that image collection module 110 obtains user again, and obtain user's body image according to global image.
If do not extract the position of all default body parts from user's body image, then again obtain the global image of user to extract user's body image, until extract the position of all default body parts from user's body image, so that follow-up body parameter calculates, improve data processing reliability.
It should be noted that, above is all explain user's garment size matching system for the apparel size of match user, but is not limit its scope of application.Such as user's garment size matching system is applicable to equally and mates user's shoes size, when subscriber station is at induction region, the image that obtains is scanned as global image to user's sole profile, user's sole parameter can be calculated according to scanning the image obtained, thus most suitable shoes size can be screened from database.
Above-mentioned user's garment size matching system, image collection module 110 obtains the global image of user and obtains user's body image according to global image; Position extraction module 130 presets the position of body part according to user's body image zooming-out.Parameter extraction module 150 obtains user's body parameter according to the position calculation of the default body part extracted; Size matching module 160 obtains with user's size of user's body parameter matching according to presetting database and exports.Automatically, can go out suitable size according to the user's body images match of acquisition when user needs to buy clothes, select so that user carries out clothes, efficiency is high and not easily make mistakes, and improves coupling convenience.
Present invention also offers a kind of Intelligent mirror, comprise above-mentioned user's garment size matching system.Particularly, Intelligent mirror comprises minute surface and panel computer, and minute surface can select common minute surface, and panel computer is arranged at the internal layer of minute surface.Panel computer is built-in with above-mentioned user's garment size matching system, can the global image of automatic acquisition user when user uses minute surface, treatedly matches the size of applicable user and exports.In addition, panel computer also can obtain the operational motion that user carries out at minute surface, and the content extracting correspondence shows.Such as user operates panel computer by minute surface, and whether the user's body parameter that inquiry acquires is accurate.User also can use minute surface while carrying out data query, improves operation ease.
Above-mentioned Intelligent mirror, automatically can go out suitable size according to the user's body images match of acquisition when user needs to buy clothes, select so that user carries out clothes, efficiency is high and not easily make mistakes, and improves coupling convenience.
Each technical characteristic of the above embodiment can combine arbitrarily, for making description succinct, the all possible combination of each technical characteristic in above-described embodiment is not all described, but, as long as the combination of these technical characteristics does not exist contradiction, be all considered to be the scope that this instructions is recorded.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be construed as limiting the scope of the patent.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. user's garment size matching process, is characterized in that, comprises the following steps:
Obtain the global image of user, and obtain user's body image according to described global image;
The position of body part is preset according to described user's body image zooming-out;
Position calculation according to the described default body part extracted obtains user's body parameter;
Obtain with user's size of described user's body parameter matching according to presetting database and export.
2. user's garment size matching process according to claim 1, it is characterized in that, described global image comprises direct picture and side image, and described user's body image comprises health direct picture and health side image; The global image of described acquisition user, and the step of user's body image is obtained according to described global image, comprise the following steps:
The camera arranged by correspondence obtains direct picture and the side image of user;
Process is carried out to described direct picture and obtains described health direct picture;
Process is carried out to described side image and obtains described health side image.
3. user's garment size matching process according to claim 1, is characterized in that, described default body part comprises head, shoulder, chest and pin; Described user's body parameter comprises height, shoulder breadth and chest measurement; Obtain the step of user's body parameter according to the position calculation of the described default body part extracted, comprise the following steps:
According to the position of head, shoulder, chest and pin in described user's body image, calculate height, shoulder breadth and the chest measurement on described user's body image;
According to height, shoulder breadth and chest measurement on described user's body image, and the dimension scale preset calculates the height of user's reality, shoulder breadth and chest measurement.
4. user's garment size matching process according to claim 1, it is characterized in that, the global image of described acquisition user, and obtain the step of user's body image according to described global image after, described preset the step of the position of body part according to described user's body image zooming-out before, further comprising the steps of:
Judge whether to recognize described user's body image;
If so, the described step presetting the position of body part according to described user's body image zooming-out is then carried out;
If not, then return the global image of described acquisition user, and obtain the step of user's body image according to described global image.
5. user's garment size matching process according to claim 1, it is characterized in that, described preset the step of the position of body part according to described user's body image zooming-out after, before the described position calculation of described default body part according to extracting obtains the step of user's body parameter, further comprising the steps of:
Judge whether the position of extracting all default body parts;
The position calculation of if so, then carrying out the described described default body part according to extracting obtains the step of user's body parameter;
If not, then return the global image of described acquisition user, and obtain the step of user's body image according to described global image.
6. user's garment size matching system, is characterized in that, comprising:
Image collection module, for obtaining the global image of user, and obtains user's body image according to described global image;
Position extraction module, for presetting the position of body part according to described user's body image zooming-out;
Parameter extraction module, for obtaining user's body parameter according to the position calculation of the described default body part extracted;
Size matching module, for obtaining with user's size of described user's body parameter matching according to presetting database and exporting.
7. user's garment size matching system according to claim 6, it is characterized in that, described global image comprises direct picture and side image, and described user's body image comprises health direct picture and health side image; Described image collection module comprises:
Image acquisition unit, for obtaining direct picture and the side image of user by the corresponding camera arranged;
First processing unit, obtains described health direct picture for carrying out process to described direct picture;
Second processing unit, obtains described health side image for carrying out process to described side image.
8. user's garment size matching system according to claim 6, is characterized in that, also comprise image judge module,
Described image judge module is used for the global image obtaining user in described image collection module, and after obtaining user's body image according to described global image, described position extraction module judges whether to recognize described user's body image before presetting the position of body part according to described user's body image zooming-out; If so, described position extraction module presets body part position according to described user's body image zooming-out is then controlled; If not, then control the global image that described image collection module obtains user again, and obtain user's body image according to described global image.
9. user's garment size matching system according to claim 6, is characterized in that, also comprise position judge module,
Described position judge module is used for after described position extraction module presets the position of body part according to described user's body image zooming-out, described parameter extraction module judges whether the position of extracting all default body parts before obtaining user's body parameter according to the position calculation of the described default body part extracted; If so, then control described parameter extraction module and obtain user's body parameter according to the position calculation of the described default body part extracted; If not, then control the global image that described image collection module obtains user again, and obtain user's body image according to described global image.
10. an Intelligent mirror, is characterized in that, comprises the user's garment size matching system as described in claim 6 to 9 any one.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510916801.7A CN105551037A (en) | 2015-12-10 | 2015-12-10 | User garment size matching method and system and intelligent mirror |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510916801.7A CN105551037A (en) | 2015-12-10 | 2015-12-10 | User garment size matching method and system and intelligent mirror |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105551037A true CN105551037A (en) | 2016-05-04 |
Family
ID=55830213
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510916801.7A Pending CN105551037A (en) | 2015-12-10 | 2015-12-10 | User garment size matching method and system and intelligent mirror |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105551037A (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105956912A (en) * | 2016-06-06 | 2016-09-21 | 施桂萍 | Method for realizing network fitting |
| CN105956910A (en) * | 2016-05-19 | 2016-09-21 | 邀月科技（北京）有限责任公司 | Clothes customized method, image shooting device and control system |
| CN106846493A (en) * | 2017-01-12 | 2017-06-13 | 段元文 | The virtual try-in methods of 3D and device |
| WO2018010166A1 (en) * | 2016-07-15 | 2018-01-18 | 刘文婷 | Smart mirror capable of personal customization of clothing |
| WO2018018601A1 (en) * | 2016-07-29 | 2018-02-01 | 刘文婷 | Individually customizable clothing camera and control method therefor |
| CN107862712A (en) * | 2017-10-20 | 2018-03-30 | 陈宸 | Sized data determines method, apparatus, storage medium and processor |
| WO2018072598A1 (en) * | 2016-10-20 | 2018-04-26 | 广州视源电子科技股份有限公司 | Human body height measurement method and device, and smart mirror |
| WO2018161323A1 (en) * | 2017-03-09 | 2018-09-13 | 广东欧珀移动通信有限公司 | Depth-based control method and control device and electronic device |
| CN109741390A (en) * | 2018-12-18 | 2019-05-10 | 维沃移动通信有限公司 | A kind of size recommended method and mobile terminal |
| CN110348933A (en) * | 2019-05-22 | 2019-10-18 | 平安科技（深圳）有限公司 | The method and relevant device of intelligent Matching user's garment size |
| CN112997218A (en) * | 2018-11-15 | 2021-06-18 | 衣服翻转设计有限公司 | Method and system for estimating size of garment |
| CN113272851A (en) * | 2019-01-03 | 2021-08-17 | 株式会社艾迪讯 | Method, server, and program for measuring body size and recommending garment size using image |
| CN114092541A (en) * | 2020-07-16 | 2022-02-25 | 北京沃东天骏信息技术有限公司 | Method and device for determining size of user clothing |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101611939A (en) * | 2008-06-26 | 2009-12-30 | 上海一格信息科技有限公司 | Remote intelligent testing method of three-dimensional human body image data network |
| CN102339377A (en) * | 2010-07-21 | 2012-02-01 | 比亚迪股份有限公司 | Quick human-eye positioning method and device |
| CN102646245A (en) * | 2012-03-29 | 2012-08-22 | 柳一鸣 | Clothing fitting, clothing selecting and clothing tailoring system based on the internet |
| CN104125432A (en) * | 2014-07-29 | 2014-10-29 | 长安大学 | Multifunctional mirror |
| CN104679831A (en) * | 2015-02-04 | 2015-06-03 | 腾讯科技（深圳）有限公司 | Method and device for matching human model |
| CN104867158A (en) * | 2015-06-03 | 2015-08-26 | 武汉理工大学 | Monocular vision-based indoor water surface ship precise positioning system and method |
| CN105100495A (en) * | 2015-08-25 | 2015-11-25 | 李万鸿 | Method for measuring a plan view size of an object by utilizing a mobile phone photographing function |
| CN204813041U (en) * | 2015-07-11 | 2015-12-02 | 卓之洲 | Intelligence mirror device |
-
2015
- 2015-12-10 CN CN201510916801.7A patent/CN105551037A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101611939A (en) * | 2008-06-26 | 2009-12-30 | 上海一格信息科技有限公司 | Remote intelligent testing method of three-dimensional human body image data network |
| CN102339377A (en) * | 2010-07-21 | 2012-02-01 | 比亚迪股份有限公司 | Quick human-eye positioning method and device |
| CN102646245A (en) * | 2012-03-29 | 2012-08-22 | 柳一鸣 | Clothing fitting, clothing selecting and clothing tailoring system based on the internet |
| CN104125432A (en) * | 2014-07-29 | 2014-10-29 | 长安大学 | Multifunctional mirror |
| CN104679831A (en) * | 2015-02-04 | 2015-06-03 | 腾讯科技（深圳）有限公司 | Method and device for matching human model |
| CN104867158A (en) * | 2015-06-03 | 2015-08-26 | 武汉理工大学 | Monocular vision-based indoor water surface ship precise positioning system and method |
| CN204813041U (en) * | 2015-07-11 | 2015-12-02 | 卓之洲 | Intelligence mirror device |
| CN105100495A (en) * | 2015-08-25 | 2015-11-25 | 李万鸿 | Method for measuring a plan view size of an object by utilizing a mobile phone photographing function |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105956910A (en) * | 2016-05-19 | 2016-09-21 | 邀月科技（北京）有限责任公司 | Clothes customized method, image shooting device and control system |
| CN105956912A (en) * | 2016-06-06 | 2016-09-21 | 施桂萍 | Method for realizing network fitting |
| WO2018010166A1 (en) * | 2016-07-15 | 2018-01-18 | 刘文婷 | Smart mirror capable of personal customization of clothing |
| WO2018018601A1 (en) * | 2016-07-29 | 2018-02-01 | 刘文婷 | Individually customizable clothing camera and control method therefor |
| WO2018072598A1 (en) * | 2016-10-20 | 2018-04-26 | 广州视源电子科技股份有限公司 | Human body height measurement method and device, and smart mirror |
| CN106846493A (en) * | 2017-01-12 | 2017-06-13 | 段元文 | The virtual try-in methods of 3D and device |
| WO2018161323A1 (en) * | 2017-03-09 | 2018-09-13 | 广东欧珀移动通信有限公司 | Depth-based control method and control device and electronic device |
| US11145086B2 (en) | 2017-03-09 | 2021-10-12 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Electronic device, and method and apparatus for controlling the same |
| CN107862712A (en) * | 2017-10-20 | 2018-03-30 | 陈宸 | Sized data determines method, apparatus, storage medium and processor |
| CN112997218A (en) * | 2018-11-15 | 2021-06-18 | 衣服翻转设计有限公司 | Method and system for estimating size of garment |
| CN109741390A (en) * | 2018-12-18 | 2019-05-10 | 维沃移动通信有限公司 | A kind of size recommended method and mobile terminal |
| CN113272851A (en) * | 2019-01-03 | 2021-08-17 | 株式会社艾迪讯 | Method, server, and program for measuring body size and recommending garment size using image |
| CN110348933A (en) * | 2019-05-22 | 2019-10-18 | 平安科技（深圳）有限公司 | The method and relevant device of intelligent Matching user's garment size |
| CN114092541A (en) * | 2020-07-16 | 2022-02-25 | 北京沃东天骏信息技术有限公司 | Method and device for determining size of user clothing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105551037A (en) | User garment size matching method and system and intelligent mirror | |
| US9928411B2 (en) | Image processing apparatus, image processing system, image processing method, and computer program product | |
| US9269157B2 (en) | Methods for extracting objects from digital images and for performing color change on the object | |
| US8976160B2 (en) | User interface and authentication for a virtual mirror | |
| US8982110B2 (en) | Method for image transformation, augmented reality, and teleperence | |
| AU2014304760B2 (en) | Devices, systems and methods of virtualizing a mirror | |
| US8970569B2 (en) | Devices, systems and methods of virtualizing a mirror | |
| CA2891834C (en) | Method and system for making tailored garments | |
| US9996909B2 (en) | Clothing image processing device, clothing image display method and program | |
| US11972506B2 (en) | Product image generation system | |
| TWI525569B (en) | Clothes image processing system, clothing image processing device, clothing image processing method, computer program product, and information memory medium | |
| JP5439787B2 (en) | Camera device | |
| JP2013168132A (en) | Commodity retrieval device, method and program | |
| US20140085330A1 (en) | Image processing device, image processing method, computer readable medium | |
| CN106657937A (en) | Virtual clothes color changing device, and implementation method thereof | |
| JP2018112777A (en) | Recommendation item output program, output control program, recommendation item output apparatus, recommendation item output method and output control method | |
| CN114758109A (en) | Virtual fitting method and system, and method for providing virtual fitting information | |
| JP2014225301A (en) | Image processing apparatus, method, and program | |
| JP5706995B2 (en) | Shoe image processing system, shoe image processing method, program | |
| JP7126653B2 (en) | Measurement system, measurement method, measurement server and measurement program | |
| EP3996043B1 (en) | Method of measuring a piece of clothing | |
| GB2581167A (en) | Video processing apparatus | |
| WO2018018601A1 (en) | Individually customizable clothing camera and control method therefor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160504 |
|
| RJ01 | Rejection of invention patent application after publication |