CN109766464A - Generation method, device and the computer readable storage medium of figure sample database - Google Patents
Generation method, device and the computer readable storage medium of figure sample database Download PDFInfo
- Publication number
- CN109766464A CN109766464A CN201910035807.1A CN201910035807A CN109766464A CN 109766464 A CN109766464 A CN 109766464A CN 201910035807 A CN201910035807 A CN 201910035807A CN 109766464 A CN109766464 A CN 109766464A
- Authority
- CN
- China
- Prior art keywords
- measured
- information
- robot
- user
- sample database
- 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.)
- Granted
Links
Landscapes
- Image Analysis (AREA)
Abstract
The invention discloses a kind of generation methods of figure sample database, comprising the following steps: the body image of timing acquisition robot to be measured, when obtaining the body image of the robot to be measured every time, the feature dimension information of the robot to be measured is different;Profile information is obtained in the body image of the robot to be measured;The profile information is associated with the body information of the robot to be measured, and figure sample database is generated according to related information.The invention also discloses the generating means and computer readable storage medium of a kind of figure sample database.The present invention simulates different stature users by changing feature dimension information and the body information of robot, figure sample database is generated with statistics, to determine the body information of user to be measured according to figure sample database.
Description
Technical field
The present invention relates to measurements of the chest, waist and hips field of measuring technique more particularly to a kind of generation methods of figure sample database, figure
The generating means and computer readable storage medium of sample database.
Background technique
It does shopping in thread clothing, goods return and replacement rate is high, and goods return and replacement waste a large amount of manpower.Customer replace clothes first is that
It is more since garment dimension and the figure of itself mismatch since design, the color etc. to clothes itself are unsatisfied with.Clothes
The deviation of size is mainly derived from: customer does not know about the dimension information of itself.
Summary of the invention
The main purpose of the present invention is to provide the generation methods of figure sample database a kind of, figure sample database
Generating means and computer readable storage medium, it is intended to by change robot feature dimension information and body information come
Different stature users are simulated, figure sample database are generated with statistics, to determine according to figure sample database to be measured
The body information of user.
To achieve the above object, the present invention provides a kind of generation method of figure sample database, the figure sample number
According to library generation method the following steps are included:
The body image of timing acquisition robot to be measured, when obtaining the body image of the robot to be measured every time,
The feature dimension information of the robot to be measured is different, and the feature dimension information includes shoulder, arm, chest, waist, arm
At least one of portion, the dimension information of leg;
Profile information is obtained in the body image of the robot to be measured;
The profile information is associated with the body information of the robot to be measured, and body is generated according to related information
Pattern database, the body information include the gender for the robot to be measured setting, height, weight, body-shape information,
At least one of body-mass index and the feature dimension information.
Optionally, the generation method of the figure sample database further include:
Before the body image for obtaining the robot to be measured every time, the target shape of the robot to be measured is obtained
Body dimension information;
Obtain target feature dimension information corresponding target body position;
Drive target body position to the target feature dimension information.
Optionally, described the step of profile information is obtained in the body image of the robot to be measured, includes:
Characteristic point is obtained in the body image of the robot to be measured;
The profile information is obtained according to the characteristic point.
Optionally, described the step of characteristic point is obtained in the body image of the robot to be measured, includes:
It obtains the robot to be measured and wears the characteristic point marked on clothes.
Optionally, described the step of characteristic point is obtained in the body image of the robot to be measured, includes:
Receive the characteristic point manually marked on the body image of the robot to be measured.
Optionally, the generation method of the figure sample database further include:
Tolerance characteristic point is obtained according to the characteristic point, tolerance profile information is obtained according to the tolerance characteristic point;
The tolerance profile information is associated with the body information of the profile information and the robot to be measured,
And the figure sample database is generated according to related information.
Optionally, described that the profile information is associated with the body information of the robot to be measured, and according to pass
After the step of joining information generation figure sample database, further includes:
In the body image for getting user to be measured, obtained in the body image of the user to be measured it is described to
Measure the profile information of user;
The robot to match with the profile information of the user to be measured is obtained in the figure sample database
Profile information;
Using the characteristic point on the profile information of the robot to match with the profile information of the user to be measured as institute
State the characteristic point of user to be measured;
The body information of the user to be measured is generated according to the characteristic point of the user to be measured.
Optionally, the characteristic point according to the user to be measured generates the step of the body information of the user to be measured
Suddenly include:
Obtain coordinate information of the characteristic point of the user to be measured in three-dimensional system of coordinate;
The distance between each described characteristic point is obtained according to the coordinate information;
The body information of the user to be measured is obtained according to the distance and default regression equation calculation.
Optionally, the characteristic point according to the user to be measured generates the step of the body information of the user to be measured
After rapid, further includes:
The feature dimension information and body information for exporting the user to be measured are to preset mobile terminal.
Optionally, the characteristic point according to the user to be measured generates the step of the body information of the user to be measured
After rapid, further includes:
Clothes recommendation information is generated according to the body-shape information in the body information of the user to be measured and/or size is recommended
Information;
Export the clothes recommendation information and/or the size recommendation information.
To achieve the above object, the present invention also provides a kind of generating means of figure sample database, the figure samples
The generating means of database include:
Memory, processor and it is stored in the figure sample data that can be run on the memory and on the processor
The generation program of the generation program in library, the figure sample database realizes above-mentioned figure sample number when being executed by the processor
According to library generation method the step of.
To achieve the above object, the present invention also provides a kind of computer readable storage medium, the computer-readable storages
The generation program of figure sample database is stored on medium, the generation program of the figure sample database is executed by processor
The step of generation method of the above-mentioned figure sample database of Shi Shixian.
Generation method, the generating means and calculating of figure sample database of figure sample database provided by the invention
Machine readable storage medium storing program for executing, the body image of timing acquisition robot to be measured obtain the body of the robot to be measured every time
When image, the feature dimension information of the robot to be measured is different, obtains profile in the body image of robot to be measured
Information, and profile information is associated with the body information of robot to be measured, and figure sample number is generated according to related information
According to library.The present invention simulates different stature users by changing feature dimension information and the body information of robot, with statistics
Figure sample database is generated, to determine the body information of user to be measured according to figure sample database.
Detailed description of the invention
Fig. 1 is the hardware running environment schematic diagram for the terminal that the embodiment of the present invention is related to;
Fig. 2 is the flow diagram of one embodiment of measurement method of body information of the present invention;
Fig. 3 is the flow diagram of one embodiment of measurement method of body information of the present invention;
Fig. 4 is the flow diagram of one embodiment of measurement method of body information of the present invention;
Fig. 5 is the flow diagram of one embodiment of measurement method of body information of the present invention;
Fig. 6 is the schematic diagram of gesture template of taking pictures in the present invention;
Fig. 7 is to take pictures to remind schematic diagram in the present invention;
Fig. 8 is the schematic diagram for obtaining characteristic point in the present invention in body image;
Fig. 9 is distribution schematic diagram of the characteristic point in three-dimensional system of coordinate in the present invention;
Figure 10 is the schematic diagram for being labelled with the clothes of characteristic point in the present invention in advance.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of generation method of figure sample database, by change robot feature dimension information with
And body information simulates different stature users, figure sample database is generated with statistics, thus according to figure sample database
To determine the body information of user to be measured.
As shown in Figure 1, Fig. 1 is the hardware running environment schematic diagram for the terminal that the embodiment of the present invention is related to.
The terminal of that embodiment of the invention can be mobile phone, tablet computer, computer and television set etc..
As shown in Figure 1, the terminal may include: processor 1001, such as CPU, network interface 1004, user interface
1003, memory 1005, communication bus 1002.Wherein, communication bus 1002 is for realizing the connection communication between these components.
User interface 1003 may include display screen (Display), input unit such as keyboard (Keyboard), remote controler, can be selected
Family interface 1003 can also include standard wireline interface and wireless interface.Network interface 1004 optionally may include standard
Wireline interface, wireless interface (such as memory (non-volatile memory), such as magnetic disk storage.Memory 1005 is optional
The storage device that can also be independently of aforementioned processor 1001.
It, can be with it will be understood by those skilled in the art that the restriction of the structure of terminal shown in Fig. 1 not structure paired terminal
Including perhaps combining certain components or different component layouts than illustrating more or fewer components.
As shown in Figure 1, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe module, the generation program of Subscriber Interface Module SIM and figure sample database.
In terminal shown in Fig. 1, network interface 1004 is mainly used for connecting background server, carries out with background server
Data communication;User interface 1003 is mainly used for connecting client (user terminal), carries out data communication with client;And processor
1001 can be used for calling the generation program of the figure sample database stored in memory 1005, and execute following operation:
The body image of timing acquisition robot to be measured, when obtaining the body image of the robot to be measured every time,
The feature dimension information of the robot to be measured is different, and the feature dimension information includes shoulder, arm, chest, waist, arm
At least one of portion, the dimension information of leg;
Profile information is obtained in the body image of the robot to be measured;
The profile information is associated with the body information of the robot to be measured, and body is generated according to related information
Pattern database, the body information include the gender for the robot to be measured setting, height, weight, body-shape information,
At least one of body-mass index and the feature dimension information.
Further, processor 1001 can call the generation journey of the figure sample database stored in memory 1005
Sequence also executes following operation:
Before the body image for obtaining the robot to be measured every time, the target shape of the robot to be measured is obtained
Body dimension information;
Obtain target feature dimension information corresponding target body position;
Drive target body position to the target feature dimension information.
Further, processor 1001 can call the generation journey of the figure sample database stored in memory 1005
Sequence also executes following operation:
Characteristic point is obtained in the body image of the robot to be measured;
The profile information is obtained according to the characteristic point.
Further, processor 1001 can call the generation journey of the figure sample database stored in memory 1005
Sequence also executes following operation:
It obtains the robot to be measured and wears the characteristic point marked on clothes.
Further, processor 1001 can call the generation journey of the figure sample database stored in memory 1005
Sequence also executes following operation:
Receive the characteristic point manually marked on the body image of the robot to be measured.
Further, processor 1001 can call the generation journey of the figure sample database stored in memory 1005
Sequence also executes following operation:
Tolerance characteristic point is obtained according to the characteristic point, tolerance profile information is obtained according to the tolerance characteristic point;
The tolerance profile information is associated with the body information of the profile information and the robot to be measured,
And the figure sample database is generated according to related information.
Further, processor 1001 can call the generation journey of the figure sample database stored in memory 1005
Sequence also executes following operation:
In the body image for getting user to be measured, obtained in the body image of the user to be measured it is described to
Measure the profile information of user;
The robot to match with the profile information of the user to be measured is obtained in the figure sample database
Profile information;
Using the characteristic point on the profile information of the robot to match with the profile information of the user to be measured as institute
State the characteristic point of user to be measured;
The body information of the user to be measured is generated according to the characteristic point of the user to be measured.
Further, processor 1001 can call the generation journey of the figure sample database stored in memory 1005
Sequence also executes following operation:
Obtain coordinate information of the characteristic point of the user to be measured in three-dimensional system of coordinate;
The distance between each described characteristic point is obtained according to the coordinate information;
The body information of the user to be measured is obtained according to the distance and default regression equation calculation.
Further, processor 1001 can call the generation journey of the figure sample database stored in memory 1005
Sequence also executes following operation:
The feature dimension information and body information for exporting the user to be measured are to preset mobile terminal.
Further, processor 1001 can call the generation journey of the figure sample database stored in memory 1005
Sequence also executes following operation:
Clothes recommendation information is generated according to the body-shape information in the body information of the user to be measured and/or size is recommended
Information;
Export the clothes recommendation information and/or the size recommendation information.
Referring to Fig. 2, in one embodiment, the generation method of the figure sample database includes:
Step S10, the body image of timing acquisition robot to be measured obtains the body of the robot to be measured every time
When image, the feature dimension information of the robot to be measured is different, the feature dimension information include shoulder, arm, chest,
At least one of waist, arm, dimension information of leg;
Step S20, profile information is obtained in the body image of the robot to be measured;
Step S30, the profile information is associated with the body information of the robot to be measured, and believed according to association
Breath generates figure sample database, the body information include the gender for the robot to be measured setting, height, weight,
At least one of body-shape information, body-mass index and the feature dimension information.
In the present embodiment, the body image of robot to be measured can be obtained by camera, the body image includes just
At least one of face image, side image and back side image, the direct picture are the body front of robot to be measured
In face of camera image obtained, the side image is that the body side of robot to be measured is obtained in face of camera
Image, the back side image are that the body back side of robot to be measured faces camera image obtained.It is appreciated that front
Image, side image and back side image should sufficiently show body curve.
In the present embodiment, the body information includes gender, the height, weight, body for the robot setting to be measured
At least one of type information, body-mass index and feature dimension information, the feature dimension information include shoulder, arm
At least one of portion, chest, waist, arm, the dimension information of leg.The body-shape information includes: hourglass shape, ellipse
(i.e. apple shape), equilateral triangle (i.e. pyriform), up-side down triangle (i.e. strawberry shape) and rectangle etc.;The body-mass index is to use
Weight kilogram number is divided by several squares of numbers obtained of height rice, for measuring the fat or thin degree of human body, according to the body quality
Human body is divided into partially thin, normal, partially fat and fat by the numberical range where index.
In the present embodiment, the shoulder of the robot to be measured, arm, chest, waist, arm, leg size (such as
Thickness and width) it is changeable.When acquiring the body image of the robot to be measured every time, the robot to be measured
Feature dimension information it is different.Specifically, system can obtain the target feature dimension information of robot to be measured automatically, obtain institute
Target feature dimension information corresponding target body position is stated, and drives target body position to the target feature dimension
Information.It is appreciated that when acquiring the body image of the robot to be measured every time, system also it is automatically updated for it is described to
Gender, the height, weight, body-shape information, body-mass index of robot measurement setting.
In the present embodiment, environment where robot to be measured and wears clothes and should meet preset condition, the institute
State preset condition include it is following at least one: the shooting background of the robot to be measured is clean, shooting angle meets preset angle
Personal clothes are worn and color and shooting background is with distinct contrast, institute by degree, shooting uniform, the described robot to be measured of bright light
Robot exposing neck to be measured is stated to remain static with shoulder and the robot to be measured.Specifically, described to be measured
The shooting background for measuring robot can be solid background, and not have impurity in the shooting background;The shooting angle can pass through
Built-in gyroscope is detected in mobile terminal, and the shooting angle is limited to predetermined angle, and the predetermined angle is
The optimized angle obtained according to a large amount of test data;The shooting light luminance is moderate, is unable to that brightness is too low to expose
Excessively, the case where being unevenly distributed there can be no light;The robot to be measured to wear clothes personal to highlight stature curve;
The robot to be measured exposes neck and shoulder position, in order to the identification of stature curve;The robot to be measured is in
Stationary state, avoiding robot to be measured from walking about causes the body image of acquisition fuzzy.
It is obtained it should be noted that can be executed when the posture of taking pictures of robot to be measured is matched with default gesture template of taking pictures
The step of taking the body image of robot to be measured, can also be in take pictures posture and the default gesture template of taking pictures of robot to be measured
Matching, and environment where robot to be measured and wear when clothes meet preset condition and execute acquisition robot to be measured
The step of body image.
In the present embodiment, characteristic point is the anchor point for constituting the profile information of the robot to be measured.The characteristic point
Acquisition modes include: first is that obtaining the robot to be measured wear the characteristic point marked on clothes, second is that reception manually exists
The characteristic point marked on the body image of the robot to be measured.
In the present embodiment, robot to be measured can be obtained and wear the characteristic point marked on clothes, and will be described to be measured
The characteristic point marked on clothes is worn as the characteristic point by robot.As shown in Figure 10, the clothes are flexible
Tight, characteristic point is labelled on the clothes in advance, and the characteristic point is distributed according to preset space length rule.System can be according to face
Color information identifies the characteristic point on clothes, for example the background color of clothes is black, and the color of characteristic point is white, then by white
Point is used as characteristic point.After obtaining the characteristic point in body image, the wheel of robot to be measured is generated according to the characteristic point
Wide information.
In the present embodiment, when user wears and do not mark characteristic point on clothes, receive manually in the robot to be measured
Body image on the characteristic point that marks.
It is appreciated that in practical applications, since clothes are excessively stretched, shooting angle is nonstandard, light is uneven etc.
Factor, the characteristic point obtained by body image, between this situation, are establishing figure sample number it is possible that the case where deviating
When according to library, tolerance characteristic point is obtained according to characteristic point, tolerance profile information is obtained according to tolerance characteristic point, and by the tolerance wheel
Wide information is associated with the body information of the profile information and the robot to be measured.It is appreciated that the tolerance is special
Sign point is the anchor point after the characteristic point offset under above-mentioned drift condition.It, can base when obtaining tolerance characteristic point according to characteristic point
The default bias direction of characteristic point is obtained in a large amount of test, so that it is special to obtain tolerance according to characteristic point and default bias direction
Sign point.
Disclosed in the present embodiment in technical solution, the body image and body information of robot to be measured are obtained,
Profile information is obtained in the body image of robot to be measured, and profile information is related to the body information of robot to be measured
Connection, and related information generates figure sample database, in this way, profile information and body letter by acquiring different stature users
Breath, to generate figure sample database, to determine the body information of user to be measured according to figure sample database.
In one embodiment, described by the profile information as shown in figure 3, on the basis of above-mentioned embodiment shown in Fig. 2
It is associated with the body information of the robot to be measured, and according to related information generate figure sample database the step of it
Afterwards, further includes:
Step S40, it in the body image for getting user to be measured, is obtained in the body image of the user to be measured
Take the profile information of the user to be measured;
Step S50, in the figure sample database, the profile information of acquisition and the user to be measured match
The profile information of robot;
Step S60, by the feature on the profile information of the robot to match with the profile information of the user to be measured
Characteristic point of the point as the user to be measured;
Step S70, the body information of the user to be measured is generated according to the characteristic point of the user to be measured.
In the present embodiment, the body image of user to be measured can be obtained by camera, the body image includes human body
At least one of direct picture, human body side image and human body back side image.As shown in fig. 6, being opened in user to be measured
When APP carries out photographing operation, APP exports take pictures gesture template and Word message prompting, and user to be measured can be according to the bat
It takes pictures according to gesture template and text prompt information.The Word message prompting can are as follows: will open arms to 30 °, both feet
With shoulder with wide, palm backward hand does not block leg line, arms down elbow does not block stringcourse etc..
In the present embodiment, environment where user to be measured and wears clothes and should meet preset condition, it is described
Preset condition include it is following at least one: the shooting background of the user to be measured is clean, shooting angle meets predetermined angle, claps
Take the photograph uniform, the described user to be measured of bright light wear personal clothes and color and shooting background are with distinct contrast, described to be measured
Amount user exposes neck and remains static with shoulder and the user to be measured.It is appreciated that as shown in fig. 7, to be measured
When measuring user opening APP, that is, above-mentioned preset condition is exported, so that user to be measured refers to, where user to be measured
Environment and when wearing clothes and being unsatisfactory for the preset condition, can will be unsatisfactory for the factor output of preset condition, to be measured to prompt
Amount user is modified.
In the present embodiment, as shown in figure 8, characteristic point is the anchor point for constituting the profile information of the user to be measured.It can
The profile information of user to be measured is determined according to body image, and characteristic point is determined according to profile information.Figure sample database
In the profile informations of multiple robots to be measured has been stored in advance, be labelled in advance on the profile information of the robot to be measured
Characteristic point, therefore the machine to be measured to match with the profile information of the user to be measured is obtained in figure sample database
The profile information of people, and will be on the profile information for the robot to be measured that matched with the profile information of the user to be measured
Characteristic point of the characteristic point as the user to be measured.
After obtaining the characteristic point in body image, as shown in figure 9, obtaining the characteristic point in three-dimensional system of coordinate
Coordinate information obtains the body information of the user to be measured according to the coordinate information.Further, believed according to the coordinate
Breath obtains the distance between each described characteristic point, is obtained according to the distance and default regression equation calculation described to be measured
The body information of user.
The default regression equation includes the first default regression equation, the second default regression equation, the default recurrence side of third
Journey and the 4th default regression equation, wherein the first default regression equation are as follows: W1=C+1.853X1+1.748X2+
0.004X3+0.005X4-0.01X5, the second default regression equation are as follows: W2=C+1.756X1+1.122X2+0.009X3-
0.002X5, the third presets regression equation are as follows: W3=C+2.456X1-0.025X3+0.043X5, the described 4th default recurrence side
Journey are as follows: W4=30.371+0.260 × W5.Wherein, W1、W2、W3And W4Respectively bust, waistline, hip circumference and shoulder breadth, it is described
C in default regression equation is constant, X1For width, X2For thickness, X3=X1 2, X4=X2 2, X5=X1X2, W5For according to default item
The shoulder breadth that part extracts.
In the present embodiment, after the profile information for obtaining the user to be measured, obtained in figure sample database
The profile information of the robot to be measured to match with the profile information of the user to be measured, and will be with the user to be measured
Body information of the body information of robot to be measured that matches of profile information as the user to be measured.
It is appreciated that passing through body due to the factors such as clothes are excessively stretched, shooting angle is nonstandard, light is uneven
The characteristic point that image obtains is it is possible that the case where deviating, between this situation, when establishing figure sample database, acquisition is just
Normal profile information and tolerance profile information, the tolerance profile information are the profile information under above-mentioned drift condition.Therefore exist
When being matched with the profile information of robot to be measured, if with the normal profile information in the profile information of the robot to be measured
It mismatches, is then matched with the tolerance profile information in the profile information of the robot to be measured.
Disclosed in the present embodiment in technical solution, obtains in figure sample database and believe with the profile of user to be measured
The profile information of the matched robot to be measured of manner of breathing, so that it is determined that the body information of user to be measured.
In one embodiment, as shown in figure 4, on the basis of the embodiment shown in above-mentioned Fig. 2 to any one of Fig. 3, described
After the step of generating the body information of the user to be measured according to the characteristic point of the user to be measured, further includes:
Step S80, the feature dimension information and body information for exporting the user to be measured are to preset mobile terminal.
In the present embodiment, the body information includes body-shape information, body-mass index, shoulder breadth, bust, waistline and stern
It at least one of encloses, the body-shape information includes: hourglass shape, ellipse (i.e. apple shape), equilateral triangle (i.e. pyriform), falls three
Angular (i.e. strawberry shape) and rectangle etc., the body-mass index are to be obtained with weight kilogram number divided by several squares of height rice
Number, for measuring the fat or thin degree of user.The body information is exported to preset mobile terminal, to inform user.
Disclosed in the present embodiment in technical solution, after generating the body information of user to be measured, body can be believed
Breath output is to preset mobile terminal, to inform user's body information.
In one embodiment, as shown in figure 5, on the basis of the embodiment shown in above-mentioned Fig. 2 to any one of Fig. 4, described
After the step of generating the body information of the user to be measured according to the characteristic point of the user to be measured, further includes:
Step S90, according in the body information of the user to be measured body-shape information generate clothes recommendation information and/or
Size recommendation information;
Step S100, the clothes recommendation information and/or the size recommendation information are exported.
In the present embodiment, after the body information for generating user to be measured, user to be measured can be generated according to body information
The size recommendation information of the dress ornament currently browsed.Specifically, the clothes that the body information of user to be measured and manufacturer can be provided
The sizing information of decorations is compared, to generate size recommendation information.
In the present embodiment, after the body information for generating user to be measured, clothes recommendation can be generated according to body information
Breath.Specifically, it obtains according to the body-shape information in body information, clothes recommendation information is generated according to body-shape information.The figure
Information includes: hourglass shape, ellipse (i.e. apple shape), equilateral triangle (i.e. pyriform), up-side down triangle (i.e. strawberry shape) and rectangle
There are suitable clothes Deng, different body-shape information, for example pyriform stature is suitble to built-up waist-line skirt, high waist trousers, blousing blouse, shortage of money jacket
Deng.
Further, the body-shape information in body information is obtained, the style of wearing the clothes of user to be measured is obtained, wherein is received
The style of wearing the clothes of user's input to be measured, or style of wearing the clothes is obtained according to the history purchaser record of user to be measured, according to body
Type information and style of wearing the clothes generate clothes recommendation information.The style of wearing the clothes includes: that Japanese style of wearing the clothes, Korea Spro system wear the clothes style
And America and Europe wears the clothes style, in combination with wearing the clothes style and body-shape information generates clothes recommendation information.
Alternatively, obtaining according to the body-mass index in body information, clothes recommendation is generated according to body-mass index
Breath.The body-mass index is with weight kilogram number divided by several squares of numbers obtained of height rice, for measuring the fat of user
Thin degree.According to the numberical range where the body-mass index, by user to be measured be divided into it is partially thin, normal, partially fat and
Obesity, different body-mass indexes have suitable clothes, for example fat user is suitble to big code clothes.
Further, clothes recommendation information is generated according to body-mass index and style of wearing the clothes, or according to body matter
Volume index and body-shape information generate clothes recommendation information, or according to body-mass index, body-shape information and style of wearing the clothes
Generate clothes recommendation information.
In the present embodiment, in the information for the recommendation information inaccuracy for receiving user feedback, it may be possible to due to acquisition
The body information inaccuracy of user, therefore the prompt information that output is taken pictures again.
Disclosed in the present embodiment in technical solution, is generated according to body information and export clothes recommendation information and/or ruler
Code recommendation information, to promote user experience.
In addition, the present invention also proposes a kind of generating means of figure sample database, the life of the figure sample database
It include memory, processor and the life for storing the figure sample database that can be run on a memory and on a processor at device
At program, the processor is realized when executing the generation program of the figure sample database such as above-mentioned figure sample database
The step of generating means are the generation method of the figure sample database under executing subject.
In addition, the present invention also proposes that a kind of computer readable storage medium, the computer readable storage medium include body
Such as above-mentioned body is realized when the generation program of the generation program of pattern database, the figure sample database is executed by processor
The step of generating means of pattern database are the generation method of the figure sample database under executing subject.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be TV
Machine, mobile phone, computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (12)
1. a kind of generation method of figure sample database, which is characterized in that the generation method packet of the figure sample database
Include following steps:
The body image of timing acquisition robot to be measured, it is described when obtaining the body image of the robot to be measured every time
The feature dimension information of robot to be measured is different, the feature dimension information include shoulder, arm, chest, waist, arm,
At least one of dimension information of leg;
Profile information is obtained in the body image of the robot to be measured;
The profile information is associated with the body information of the robot to be measured, and figure sample is generated according to related information
Database, the body information include gender, the height, weight, body-shape information, body for the robot setting to be measured
At least one of performance figure and the feature dimension information.
2. the generation method of figure sample database as described in claim 1, which is characterized in that the figure sample database
Generation method further include:
Before the body image for obtaining the robot to be measured every time, the target body ruler of the robot to be measured is obtained
Very little information;
Obtain target feature dimension information corresponding target body position;
Drive target body position to the target feature dimension information.
3. the generation method of figure sample database as described in claim 1, which is characterized in that described in the machine to be measured
The step of acquisition profile information, includes: in the body image of device people
Characteristic point is obtained in the body image of the robot to be measured;
The profile information is obtained according to the characteristic point.
4. the generation method of figure sample database as claimed in claim 3, which is characterized in that described in the machine to be measured
The step of acquisition characteristic point, includes: in the body image of device people
It obtains the robot to be measured and wears the characteristic point marked on clothes.
5. the generation method of figure sample database as claimed in claim 3, which is characterized in that described in the machine to be measured
The step of acquisition characteristic point, includes: in the body image of device people
Receive the characteristic point manually marked on the body image of the robot to be measured.
6. the generation method of figure sample database as claimed in claim 3, which is characterized in that the figure sample database
Generation method further include:
Tolerance characteristic point is obtained according to the characteristic point, tolerance profile information is obtained according to the tolerance characteristic point;
The tolerance profile information is associated with the body information of the profile information and the robot to be measured, and root
The figure sample database is generated according to related information.
7. the generation method of figure sample database as described in claim 1, which is characterized in that described by the profile information
It is associated with the body information of the robot to be measured, and according to related information generate figure sample database the step of it
Afterwards, further includes:
In the body image for getting user to be measured, obtained in the body image of the user to be measured described to be measured
The profile information of user;
The profile of the robot to match with the profile information of the user to be measured is obtained in the figure sample database
Information;
Using the characteristic point on the profile information of the robot to match with the profile information of the user to be measured as it is described to
Measure the characteristic point of user;
The body information of the user to be measured is generated according to the characteristic point of the user to be measured.
8. the generation method of figure sample database as claimed in claim 7, which is characterized in that described according to described to be measured
The characteristic point of user generates the step of body information of the user to be measured and includes:
Obtain coordinate information of the characteristic point of the user to be measured in three-dimensional system of coordinate;
The distance between each described characteristic point is obtained according to the coordinate information;
The body information of the user to be measured is obtained according to the distance and default regression equation calculation.
9. the generation method of figure sample database as claimed in claim 7, which is characterized in that described according to described to be measured
The characteristic point of user generated after the step of body information of the user to be measured, further includes:
The feature dimension information and body information for exporting the user to be measured are to preset mobile terminal.
10. the generation method of figure sample database as claimed in claim 7, which is characterized in that described according to described to be measured
After the step of characteristic point of amount user generates the body information of the user to be measured, further includes:
Clothes recommendation information and/or size recommendation are generated according to the body-shape information in the body information of the user to be measured
Breath;
Export the clothes recommendation information and/or the size recommendation information.
11. a kind of generating means of figure sample database, which is characterized in that the generating means packet of the figure sample database
Include memory, processor and the life for being stored in the figure sample database that can be run on the memory and on the processor
It is realized at program, when the generation program of the figure sample database is executed by the processor as appointed in claims 1 to 10
The step of generation method of figure sample database described in one.
12. a kind of computer readable storage medium, which is characterized in that be stored with figure sample on the computer readable storage medium
Such as claim 1 is realized when the generation program of the generation program of database, the figure sample database is executed by processor
To described in any one of 10 the step of the generation method of figure sample database.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910035807.1A CN109766464B (en) | 2019-01-15 | 2019-01-15 | Method and device for generating body type sample database and computer readable storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910035807.1A CN109766464B (en) | 2019-01-15 | 2019-01-15 | Method and device for generating body type sample database and computer readable storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109766464A true CN109766464A (en) | 2019-05-17 |
CN109766464B CN109766464B (en) | 2021-08-17 |
Family
ID=66452872
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910035807.1A Active CN109766464B (en) | 2019-01-15 | 2019-01-15 | Method and device for generating body type sample database and computer readable storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109766464B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI824912B (en) * | 2022-12-14 | 2023-12-01 | 財團法人工業技術研究院 | Measuring method and system for body-shaped data |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140180864A1 (en) * | 2012-12-20 | 2014-06-26 | Ebay Inc. | Personalized clothing recommendation system and method |
US20160110595A1 (en) * | 2014-10-17 | 2016-04-21 | Qiaosong Wang | Fast 3d model fitting and anthropometrics using synthetic data |
CN106558094A (en) * | 2015-09-30 | 2017-04-05 | 捷荣科技集团有限公司 | A kind of method and system that human 3d model is set up based on measurement data |
CN107240007A (en) * | 2017-07-21 | 2017-10-10 | 陕西科技大学 | A kind of AR three-dimensional virtual fitting systems combined with 3D manikins |
CN104992441B (en) * | 2015-07-08 | 2017-11-17 | 华中科技大学 | A kind of real human body three-dimensional modeling method towards individualized virtual fitting |
-
2019
- 2019-01-15 CN CN201910035807.1A patent/CN109766464B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140180864A1 (en) * | 2012-12-20 | 2014-06-26 | Ebay Inc. | Personalized clothing recommendation system and method |
US20160110595A1 (en) * | 2014-10-17 | 2016-04-21 | Qiaosong Wang | Fast 3d model fitting and anthropometrics using synthetic data |
CN104992441B (en) * | 2015-07-08 | 2017-11-17 | 华中科技大学 | A kind of real human body three-dimensional modeling method towards individualized virtual fitting |
CN106558094A (en) * | 2015-09-30 | 2017-04-05 | 捷荣科技集团有限公司 | A kind of method and system that human 3d model is set up based on measurement data |
CN107240007A (en) * | 2017-07-21 | 2017-10-10 | 陕西科技大学 | A kind of AR three-dimensional virtual fitting systems combined with 3D manikins |
Non-Patent Citations (1)
Title |
---|
崔勇: "基于正交图片的三维虚拟人体模型重构", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI824912B (en) * | 2022-12-14 | 2023-12-01 | 財團法人工業技術研究院 | Measuring method and system for body-shaped data |
Also Published As
Publication number | Publication date |
---|---|
CN109766464B (en) | 2021-08-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109522886A (en) | Measurement method, device and the computer readable storage medium of body data | |
US10918150B2 (en) | Methods and systems for customized garment and outfit design generation | |
US9949519B2 (en) | Methods and systems for customized garment design generation | |
CN108886586B (en) | Method for synthesizing image and electronic device thereof | |
US5163007A (en) | System for measuring custom garments | |
US8818883B2 (en) | Personalized shopping avatar | |
KR102312628B1 (en) | Method and apparatus for presenting watch face, and smartwatch | |
WO2020203656A1 (en) | Information processing device, information processing method, and program | |
US20170245570A1 (en) | Smart garment | |
WO2009099587A2 (en) | Systems and methods for collecting body measurements, virtually simulating models of actual and target body shapes, ascertaining garment size fitting, and processing garment orders | |
CN105989617A (en) | Virtual try-on apparatus and virtual try-on method | |
CN105374057A (en) | Virtual try-on apparatus and virtual try-on method | |
CN108898460A (en) | Virtual fit method and device | |
US11468651B2 (en) | Size measuring system | |
CN106887035A (en) | A kind of intelligent dressing device | |
CN108564439A (en) | Dress ornament recommends method and system, terminal and storage medium | |
CN109508708A (en) | Measurement method, device and the computer readable storage medium of body data | |
CN103767219A (en) | Noncontact human body three-dimensional size measuring method | |
CN110188726A (en) | Online human body dimension measurement method and the amount body clothing for this method | |
CN109753489A (en) | Generation method, device and the computer readable storage medium of figure sample database | |
CN109685040A (en) | Measurement method, device and the computer readable storage medium of body data | |
US20170154472A1 (en) | System and method for determining custom sizes by visual annotation | |
KR101702825B1 (en) | Body composition measuring apparatus and server for amending result of body composition measurement | |
CN109766464A (en) | Generation method, device and the computer readable storage medium of figure sample database | |
US20190231012A1 (en) | Systems and methods for preparing custom clothing patterns |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right |
Effective date of registration: 20210816 Address after: 510000 building 6, No. 20, Huahai street, Fangcun, Liwan District, Guangzhou City, Guangdong Province (office only) Patentee after: GUANGZHOU PINWEI SOFTWARE Co.,Ltd. Address before: 510000 room 01, No.314, Fangcun Avenue middle, Liwan District, Guangzhou City, Guangdong Province Patentee before: GUANGZHOU WEIPINHUI RESEARCH INSTITUTE Co.,Ltd. |
|
TR01 | Transfer of patent right |