CN109766464B - Method and device for generating body type sample database and computer readable storage medium - Google Patents
Method and device for generating body type sample database and computer readable storage medium Download PDFInfo
- Publication number
- CN109766464B CN109766464B CN201910035807.1A CN201910035807A CN109766464B CN 109766464 B CN109766464 B CN 109766464B CN 201910035807 A CN201910035807 A CN 201910035807A CN 109766464 B CN109766464 B CN 109766464B
- Authority
- CN
- China
- Prior art keywords
- measured
- information
- robot
- user
- body type
- 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.)
- Active
Links
Images
Abstract
The invention discloses a generation method of a body type sample database, which comprises the following steps: the method comprises the steps that a shape image of a robot to be measured is obtained at regular time, and the shape size information of the robot to be measured is different when the shape image of the robot to be measured is obtained each time; acquiring contour information in a shape image of the robot to be measured; and associating the contour information with the shape information of the robot to be measured, and generating a shape sample database according to the associated information. The invention also discloses a generating device of the body type sample database and a computer readable storage medium. The invention simulates users with different statures by changing the body size information and the body information of the robot to generate a body type sample database in a statistical manner, thereby determining the body information of the user to be measured according to the body type sample database.
Description
Technical Field
The invention relates to the technical field of three-dimensional measurement, in particular to a method for generating a body type sample database, a device for generating the body type sample database and a computer-readable storage medium.
Background
When the clothes are purchased on line, the goods returning and changing rate is high, and a large amount of manpower is wasted in the goods returning and changing. The customer changes the clothes again, firstly, the design, color and the like of the clothes are not satisfied, and more, the size of the clothes is not matched with the shape of the clothes. The deviation in garment size mainly comes from: the customer does not know his own size information.
Disclosure of Invention
The invention mainly aims to provide a generating method of a body type sample database, a generating device of the body type sample database and a computer readable storage medium, aiming at simulating users with different statures by changing the body size information and the body information of a robot so as to generate the body type sample database in a statistical manner, thereby determining the body information of a user to be measured according to the body type sample database.
In order to achieve the above object, the present invention provides a method for generating a body type sample database, which comprises the following steps:
the method comprises the steps that a body image of a robot to be measured is obtained at regular time, and each time the body image of the robot to be measured is obtained, body size information of the robot to be measured is different and comprises at least one of size information of shoulders, arms, a chest, a waist, the arms and legs;
acquiring contour information in a shape image of the robot to be measured;
and associating the contour information with the shape information of the robot to be measured, and generating a shape sample database according to the associated information, wherein the shape information comprises at least one of sex, height, weight, shape information and body mass index set for the robot to be measured and the shape size information.
Optionally, the generating method of the body type sample database further includes:
acquiring target body size information of the robot to be measured before acquiring a body image of the robot to be measured each time;
acquiring a target body part corresponding to the target body size information;
and driving the target body part to the target body size information.
Optionally, the step of acquiring contour information in the body image of the robot to be measured includes:
acquiring characteristic points in the shape image of the robot to be measured;
and acquiring the contour information according to the characteristic points.
Optionally, the step of acquiring feature points in the shape image of the robot to be measured includes:
and acquiring the characteristic points marked on the robot to be measured wearing the clothes.
Optionally, the step of acquiring feature points in the shape image of the robot to be measured includes:
and receiving characteristic points manually marked on the body image of the robot to be measured.
Optionally, the generating method of the body type sample database further includes:
obtaining tolerance feature points according to the feature points, and obtaining tolerance contour information according to the tolerance feature points;
and associating the tolerance contour information with the contour information and the shape information of the robot to be measured, and generating the shape sample database according to the associated information.
Optionally, after the step of associating the contour information with the shape information of the robot to be measured and generating a shape sample database according to the associated information, the method further includes:
when the body image of the user to be measured is obtained, obtaining the contour information of the user to be measured in the body image of the user to be measured;
acquiring the contour information of the robot matched with the contour information of the user to be measured in the body type sample database;
taking the characteristic points on the contour information of the robot matched with the contour information of the user to be measured as the characteristic points of the user to be measured;
and generating the shape information of the user to be measured according to the characteristic points of the user to be measured.
Optionally, the step of generating the shape information of the user to be measured according to the feature points of the user to be measured includes:
acquiring coordinate information of the characteristic points of the user to be measured in a three-dimensional coordinate system;
obtaining the distance between each feature point according to the coordinate information;
and calculating to obtain the shape information of the user to be measured according to the distance and a preset regression equation.
Optionally, after the step of generating the shape information of the user to be measured according to the feature points of the user to be measured, the method further includes:
and outputting the physical size information and the physical information of the user to be measured to a preset mobile terminal.
Optionally, after the step of generating the shape information of the user to be measured according to the feature points of the user to be measured, the method further includes:
generating clothing recommendation information and/or size recommendation information according to body type information in the body type information of the user to be measured;
and outputting the clothing recommendation information and/or the size recommendation information.
In order to achieve the above object, the present invention further provides a device for generating a body type sample database, including:
the generating program of the body type sample database realizes the steps of the generating method of the body type sample database when being executed by the processor.
In order to achieve the above object, the present invention further provides a computer-readable storage medium, in which a generation program of a body type sample database is stored, and when being executed by a processor, the generation program of the body type sample database implements the steps of the generation method of the body type sample database.
The invention provides a generating method of a body type sample database, a generating device of the body type sample database and a computer readable storage medium, which are used for regularly acquiring a body image of a robot to be measured, acquiring contour information in the body image of the robot to be measured, associating the contour information with the body information of the robot to be measured and generating the body type sample database according to the associated information, wherein the body size information of the robot to be measured is different when the body image of the robot to be measured is acquired each time. The invention simulates users with different statures by changing the body size information and the body information of the robot to generate a body type sample database in a statistical manner, thereby determining the body information of the user to be measured according to the body type sample database.
Drawings
Fig. 1 is a schematic diagram of a hardware operating environment of a terminal according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for measuring profile information according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating a method for measuring profile information according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a method for measuring profile information according to an embodiment of the present invention;
FIG. 5 is a flow chart illustrating a method for measuring profile information according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a photographing gesture template according to the present invention;
FIG. 7 is a schematic diagram of a photographing reminder according to the present invention;
FIG. 8 is a schematic diagram of feature points obtained in a form image according to the present invention;
FIG. 9 is a schematic diagram of the distribution of feature points in a three-dimensional coordinate system according to the present invention;
FIG. 10 is a schematic view of a garment with feature points pre-marked according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a generation method of a body type sample database, which simulates users with different statures by changing the body size information and the body information of a robot to generate the body type sample database in a statistical manner, so that the body information of a user to be measured is determined according to the body type sample database.
As shown in fig. 1, fig. 1 is a schematic diagram of a hardware operating environment of a terminal according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a mobile phone, a tablet computer, a television and the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display (Display), an input unit such as a Keyboard (Keyboard), a remote controller, and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (such as a non-volatile memory, e.g., disk storage) and the memory 1005 may optionally also be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the terminal shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a generation program of a body type sample database.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call a generation program of the body type sample database stored in the memory 1005, and perform the following operations:
the method comprises the steps that a body image of a robot to be measured is obtained at regular time, and each time the body image of the robot to be measured is obtained, body size information of the robot to be measured is different and comprises at least one of size information of shoulders, arms, a chest, a waist, the arms and legs;
acquiring contour information in a shape image of the robot to be measured;
and associating the contour information with the shape information of the robot to be measured, and generating a shape sample database according to the associated information, wherein the shape information comprises at least one of sex, height, weight, shape information and body mass index set for the robot to be measured and the shape size information.
Further, the processor 1001 may call a generation program of the body type sample database stored in the memory 1005, and further perform the following operations:
acquiring target body size information of the robot to be measured before acquiring a body image of the robot to be measured each time;
acquiring a target body part corresponding to the target body size information;
and driving the target body part to the target body size information.
Further, the processor 1001 may call a generation program of the body type sample database stored in the memory 1005, and further perform the following operations:
acquiring characteristic points in the shape image of the robot to be measured;
and acquiring the contour information according to the characteristic points.
Further, the processor 1001 may call a generation program of the body type sample database stored in the memory 1005, and further perform the following operations:
and acquiring the characteristic points marked on the robot to be measured wearing the clothes.
Further, the processor 1001 may call a generation program of the body type sample database stored in the memory 1005, and further perform the following operations:
and receiving characteristic points manually marked on the body image of the robot to be measured.
Further, the processor 1001 may call a generation program of the body type sample database stored in the memory 1005, and further perform the following operations:
obtaining tolerance feature points according to the feature points, and obtaining tolerance contour information according to the tolerance feature points;
and associating the tolerance contour information with the contour information and the shape information of the robot to be measured, and generating the shape sample database according to the associated information.
Further, the processor 1001 may call a generation program of the body type sample database stored in the memory 1005, and further perform the following operations:
when the body image of the user to be measured is obtained, obtaining the contour information of the user to be measured in the body image of the user to be measured;
acquiring the contour information of the robot matched with the contour information of the user to be measured in the body type sample database;
taking the characteristic points on the contour information of the robot matched with the contour information of the user to be measured as the characteristic points of the user to be measured;
and generating the shape information of the user to be measured according to the characteristic points of the user to be measured.
Further, the processor 1001 may call a generation program of the body type sample database stored in the memory 1005, and further perform the following operations:
acquiring coordinate information of the characteristic points of the user to be measured in a three-dimensional coordinate system;
obtaining the distance between each feature point according to the coordinate information;
and calculating to obtain the shape information of the user to be measured according to the distance and a preset regression equation.
Further, the processor 1001 may call a generation program of the body type sample database stored in the memory 1005, and further perform the following operations:
and outputting the physical size information and the physical information of the user to be measured to a preset mobile terminal.
Further, the processor 1001 may call a generation program of the body type sample database stored in the memory 1005, and further perform the following operations:
generating clothing recommendation information and/or size recommendation information according to body type information in the body type information of the user to be measured;
and outputting the clothing recommendation information and/or the size recommendation information.
Referring to fig. 2, in an embodiment, the method for generating the body type sample database includes:
step S10, regularly acquiring the shape image of the robot to be measured, wherein the shape size information of the robot to be measured is different when the shape image of the robot to be measured is acquired each time, and the shape size information comprises at least one of the size information of shoulders, arms, chests, waists, arms and legs;
step S20, acquiring contour information in the shape image of the robot to be measured;
step S30, the contour information is correlated with the shape information of the robot to be measured, and a shape sample database is generated according to the correlated information, wherein the shape information comprises at least one of sex, height, weight, shape information, body quality index and the shape size information set for the robot to be measured.
In this embodiment, a shape image of the robot to be measured may be acquired by the camera, the shape image includes at least one of a front image, a side image, and a back image, the front image is an image obtained when the front surface of the body of the robot to be measured faces the camera, the side image is an image obtained when the side surface of the body of the robot to be measured faces the camera, and the back image is an image obtained when the back surface of the body of the robot to be measured faces the camera. It is understood that the front image, the side image, and the back image should sufficiently exhibit the body curve.
In this embodiment, the physical size information includes at least one of sex, height, weight, body shape information, and a body mass index set for the robot to be measured, and physical size information including at least one of size information of a shoulder, an arm, a chest, a waist, an arm, and a leg. The body type information includes: hourglass-shaped, oval-shaped (i.e., apple-shaped), regular triangle-shaped (i.e., pear-shaped), inverted triangle-shaped (i.e., strawberry-shaped), rectangular, and the like; the body mass index is a number obtained by dividing weight kilogram by height meter square, and is used for measuring the fat and thin degree of the human body, and the human body is divided into partial thin, normal, partial fat and fat according to the numerical range of the body mass index.
In this embodiment, the sizes (such as thickness and width) of the shoulder, the arm, the chest, the waist, the arm and the leg of the robot to be measured can be changed. And the shape size information of the robot to be measured is different when the shape image of the robot to be measured is acquired. Specifically, the system can automatically acquire target body size information of the robot to be measured, acquire a target body part corresponding to the target body size information, and drive the target body part to the target body size information. It can be understood that the system can also automatically update the sex, the height, the weight, the body type information and the body quality index set for the robot to be measured each time the body shape image of the robot to be measured is acquired.
In this embodiment, the environment where the robot to be measured is located and the clothing should satisfy preset conditions, where the preset conditions include at least one of the following: the robot to be measured is clean in shooting background, the shooting angle meets the preset angle, the shooting light is bright and uniform, the dress of the robot to be measured is close to the skin, the color of the dress of the robot to be measured is clearly contrasted with the shooting background, the robot to be measured is exposed out of the neck and the shoulders, and the robot to be measured is in a static state. Specifically, the shooting background of the robot to be measured can be a pure color background, and impurities do not exist in the shooting background; the shooting angle can be detected through a gyroscope built in the mobile terminal, and is limited to a preset angle, wherein the preset angle is an optimal angle obtained according to a large amount of test data; the shooting light has moderate brightness, can not have too low brightness and can not be overexposed, and the condition of uneven light distribution can not occur; the clothing of the robot to be measured is close to the skin to highlight the figure curve; exposing the neck and the shoulder of the robot to be measured so as to facilitate the identification of the figure curve; the robot to be measured is in a static state, and the phenomenon that the acquired body image is fuzzy due to walking of the robot to be measured is avoided.
It should be noted that the step of obtaining the body image of the robot to be measured may be performed when the photographing pose of the robot to be measured matches the preset photographing pose template, or may be performed when the photographing pose of the robot to be measured matches the preset photographing pose template, and the environment where the robot to be measured is located and the clothing meets the preset conditions.
In this embodiment, the feature points are positioning points that constitute contour information of the robot to be measured. The method for acquiring the characteristic points comprises the following steps: the method comprises the steps of firstly, acquiring characteristic points marked on the clothes worn by the robot to be measured, and secondly, receiving characteristic points marked on the shape image of the robot to be measured manually.
In this embodiment, the characteristic points marked on the robot wearing garment to be measured may be acquired, and the characteristic points marked on the robot wearing garment to be measured are used as the characteristic points. As shown in fig. 10, the garment is a tight garment with elasticity, and the garment is marked with characteristic points in advance, and the characteristic points are distributed according to a predetermined interval rule. The system can identify the characteristic point on the clothing according to the color information, for example, the bottom color of the clothing is black, the color of the characteristic point is white, and then the white point is taken as the characteristic point. And after the characteristic points in the body image are acquired, generating the contour information of the robot to be measured according to the characteristic points.
In this embodiment, when a user wears a garment without marking feature points, feature points manually marked on the body image of the robot to be measured are received.
It can be understood that, in practical applications, due to factors such as excessive stretching of the garment, non-standard shooting angle, uneven light, etc., the feature points acquired through the shape image may be shifted, and in this case, when the three-dimensional sample database is established, tolerance feature points are acquired according to the feature points, tolerance contour information is acquired according to the tolerance feature points, and the tolerance contour information is associated with the contour information and the shape information of the robot to be measured. It is understood that the tolerance feature point is an alignment point after the feature point is shifted in the above-mentioned shifting case. When the tolerance feature points are obtained according to the feature points, the preset offset directions of the feature points can be obtained based on a large number of tests, so that the tolerance feature points are obtained according to the feature points and the preset offset directions.
In the technical scheme disclosed in this embodiment, a shape image and shape information of a robot to be measured are acquired, profile information is acquired from the shape image of the robot to be measured, the profile information is associated with the shape information of the robot to be measured, and a body type sample database is generated by associating the profile information with the shape information.
In an embodiment, as shown in fig. 3, after the step of associating the profile information with the shape information of the robot to be measured and generating a shape sample database according to the associated information based on the embodiment shown in fig. 2, the method further includes:
step S40, when the shape image of the user to be measured is obtained, the contour information of the user to be measured is obtained in the shape image of the user to be measured;
step S50, acquiring contour information of the robot matched with the contour information of the user to be measured in the body type sample database;
step S60, taking the characteristic points on the contour information of the robot matched with the contour information of the user to be measured as the characteristic points of the user to be measured;
and step S70, generating the shape information of the user to be measured according to the characteristic points of the user to be measured.
In this embodiment, the body shape image of the user to be measured may be acquired by the camera, and the body shape image includes at least one of a front body image, a side body image, and a back body image. As shown in fig. 6, when the user to be measured starts the APP to take a picture, the APP outputs a picture taking posture template and a text information prompt, and the user to be measured can take a picture according to the picture taking posture template and the text information prompt. The text information prompt may be: the two arms are opened to 30 degrees, the width of the two feet and the shoulders is the same, the palm center is backward, the hands do not shield leg lines, the two arms drop, the elbows do not shield waist lines, and the like.
In this embodiment, the environment where the user to be measured is located and the clothing should meet preset conditions, where the preset conditions include at least one of the following: the method comprises the steps that the shooting background of a user to be measured is clean, the shooting angle meets the preset angle, the shooting light is bright and uniform, the clothing of the user to be measured is close to the skin, the contrast between the color and the shooting background is clear, the neck and the shoulders of the user to be measured are exposed, and the user to be measured is in a static state. It can be understood that, as shown in fig. 7, when the APP is opened by the user to be measured, the preset condition is output for the user to be measured to refer to, and when the environment where the user to be measured is located and the clothing does not satisfy the preset condition, the factor that does not satisfy the preset condition may be output to prompt the user to be measured to change.
In this embodiment, as shown in fig. 8, the feature points are positioning points that constitute the profile information of the user to be measured. The profile information of the user to be measured can be determined according to the body image, and the characteristic points can be determined according to the profile information. The method comprises the steps that profile information of a plurality of robots to be measured is stored in a body type sample database in advance, and feature points are marked on the profile information of the robots to be measured in advance, so that the profile information of the robots to be measured matched with the profile information of a user to be measured is obtained in the body type sample database, and the feature points on the profile information of the robots to be measured matched with the profile information of the user to be measured serve as the feature points of the user to be measured.
After the feature points in the body image are acquired, as shown in fig. 9, coordinate information of the feature points in a three-dimensional coordinate system is acquired, and body information of the user to be measured is acquired according to the coordinate information. Further, the distance between the feature points is obtained according to the coordinate information, and the shape information of the user to be measured is obtained through calculation according to the distance and a preset regression equation.
The preset regression equation comprises a first preset regression equation, a second preset regression equation, a third preset regression equation and a fourth preset regression equation, wherein the first preset regression equation is as follows: w1＝C+1.853X1+1.748X2+0.004X3+0.005X4-0.01X5The second preset regression equation is as follows: w2＝C+1.756X1+1.122X2+0.009X3-0.002X5The third preset regression equation is as follows: w3＝C+2.456X1-0.025X3+0.043X5The fourth preset regression equation is as follows: w4＝30.371+0.260×W5. Wherein, W1、W2、W3And W4Respectively chest circumference, waist circumference, hip circumference and shoulder width, wherein C in the preset regression equation is a constant, and X is1Is a width, X2Is thickness, X3＝X1 2，X4＝X2 2，X5＝X1X2，W5Is the shoulder width extracted according to the preset condition.
In this embodiment, after the contour information of the user to be measured is acquired, the contour information of the robot to be measured, which is matched with the contour information of the user to be measured, is acquired in the body type sample database, and the body shape information of the robot to be measured, which is matched with the contour information of the user to be measured, is used as the body shape information of the user to be measured.
It can be understood that due to the factors of the clothing being over-stretched, the shooting angle being not standard, the light being non-uniform, etc., the characteristic points obtained through the shape image may have a deviation condition, in which, when the three-dimensional sample database is built, normal contour information and tolerance contour information are collected, where the tolerance contour information is the contour information under the deviation condition. Therefore, when the profile information of the robot to be measured is matched, if the profile information of the robot to be measured is not matched with the normal profile information in the profile information of the robot to be measured, the tolerance profile information in the profile information of the robot to be measured is matched.
In the technical scheme disclosed in this embodiment, the contour information of the robot to be measured, which is matched with the contour information of the user to be measured, is acquired in the body type sample database, so as to determine the body shape information of the user to be measured.
In an embodiment, as shown in fig. 4, on the basis of the embodiment shown in any one of fig. 2 to fig. 3, after the step of generating the shape information of the user to be measured according to the feature points of the user to be measured, the method further includes:
and step S80, outputting the shape size information and the shape information of the user to be measured to a preset mobile terminal.
In this embodiment, the body shape information includes at least one of body type information, body mass index, shoulder width, chest circumference, waist circumference, and hip circumference, and the body type information includes: hourglass shape, oval shape (i.e. apple shape), regular triangle (i.e. pear shape), inverted triangle (i.e. strawberry shape), rectangle and the like, and the body mass index is a number obtained by dividing weight kilograms by height meters squared and is used for measuring the fat and thin degree of a user. And outputting the body information to a preset mobile terminal to inform a user.
In the technical solution disclosed in this embodiment, after the shape information of the user to be measured is generated, the shape information can be output to a preset mobile terminal to inform the user of the shape information.
In an embodiment, as shown in fig. 5, on the basis of the embodiment shown in any one of fig. 2 to 4, after the step of generating the shape information of the user to be measured according to the feature points of the user to be measured, the method further includes:
step S90, clothing recommendation information and/or size recommendation information is generated according to the body type information in the body type information of the user to be measured;
and S100, outputting the clothing recommendation information and/or the size recommendation information.
In this embodiment, after the shape information of the user to be measured is generated, the size recommendation information of the garment currently browsed by the user to be measured can be generated according to the shape information. Specifically, the size recommendation information may be generated by comparing the shape information of the user to be measured with the size information of the clothing provided by the manufacturer.
In this embodiment, after the shape information of the user to be measured is generated, the clothing recommendation information may be generated according to the shape information. Specifically, the method comprises the steps of obtaining body type information in the body type information, and generating clothing recommendation information according to the body type information. The body type information includes: hourglass shape, oval shape (namely apple shape), regular triangle (namely pear shape), inverted triangle (namely strawberry shape), rectangle and the like, and different body shape information has suitable clothes, such as pear shape suitable for high waist skirt, high waist trousers, loose upper outer garment, short upper outer garment and the like.
Further, body shape information in the body shape information is acquired, and a dressing style of the user to be measured is acquired, wherein the dressing style input by the user to be measured is received, or the dressing style is acquired according to a historical purchase record of the user to be measured, and clothing recommendation information is generated according to the body shape information and the dressing style. The style of dressing includes: the daily dress style, the Korean dress style and the European and American dress style can be combined with the dress style and the body type information to generate the clothing recommendation information.
Or acquiring a body quality index in the body information, and generating clothing recommendation information according to the body quality index. The body mass index is a number obtained by dividing weight kilograms by height meters squared, and is used for measuring the fat and thin degree of the user. According to the numerical range of the body mass index, the user to be measured is divided into thin, normal, fat and fat, and different body mass indexes are provided with suitable clothes, for example, a fat user is suitable for large-size clothes.
Further, clothing recommendation information is generated according to the body quality index and the dressing style, or the clothing recommendation information is generated according to the body quality index and the body type information, or the clothing recommendation information is generated according to the body quality index, the body type information and the dressing style.
In this embodiment, when receiving information that the recommended information fed back by the user is inaccurate, it may be that the collected physical information of the user is inaccurate, and therefore prompt information for re-photographing is output.
In the technical scheme disclosed in this embodiment, the clothing recommendation information and/or the size recommendation information is generated and output according to the shape information, so as to improve the user experience.
The invention also provides a device for generating the body type sample database, which comprises a memory, a processor and a program for generating the body type sample database, wherein the program is stored in the memory and can be run on the processor, and the processor executes the program for generating the body type sample database, so that the step of executing the method for generating the body type sample database is realized by the device for generating the body type sample database.
In addition, the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a generation program of a body type sample database, and when the generation program of the body type sample database is executed by a processor, the generation apparatus of the body type sample database implements a step of executing a generation method of the body type sample database under a subject.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a television, a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (11)
1. A method for generating a body type sample database is characterized by comprising the following steps:
the method comprises the steps that a body image of a robot to be measured is obtained at regular time, and each time the body image of the robot to be measured is obtained, body size information of the robot to be measured is different and comprises at least one of size information of shoulders, arms, a chest, a waist and legs;
acquiring contour information in a shape image of the robot to be measured;
associating the contour information with the shape information of the robot to be measured, and generating a shape sample database according to the associated information, wherein the shape information comprises at least one of sex, height, weight, shape information and body mass index set for the robot to be measured and the shape size information;
when the body image of the user to be measured is obtained, obtaining the contour information of the user to be measured in the body image of the user to be measured;
acquiring the contour information of the robot matched with the contour information of the user to be measured in the body type sample database;
taking the characteristic points on the contour information of the robot matched with the contour information of the user to be measured as the characteristic points of the user to be measured;
and generating the shape information of the user to be measured according to the characteristic points of the user to be measured.
2. The method for generating a body type database according to claim 1, wherein the method for generating a body type database further comprises:
acquiring target body size information of the robot to be measured before acquiring a body image of the robot to be measured each time;
acquiring a target body part corresponding to the target body size information;
and driving the target body part to the target body size information.
3. The method for generating a body type database according to claim 1, wherein the step of acquiring contour information in the body image of the robot to be measured comprises:
acquiring characteristic points in the shape image of the robot to be measured;
and acquiring the contour information according to the characteristic points.
4. The method for generating a body type database according to claim 3, wherein the step of obtaining feature points in the body shape image of the robot to be measured comprises:
and acquiring the characteristic points marked on the robot to be measured wearing the clothes.
5. The method for generating a body type database according to claim 3, wherein the step of obtaining feature points in the body shape image of the robot to be measured comprises:
and receiving characteristic points manually marked on the body image of the robot to be measured.
6. The method of generating a body type database according to claim 3, wherein the method of generating a body type database further comprises:
obtaining tolerance feature points according to the feature points, and obtaining tolerance contour information according to the tolerance feature points;
and associating the tolerance contour information with the contour information and the shape information of the robot to be measured, and generating the shape sample database according to the associated information.
7. The method for generating a body type database according to claim 1, wherein the step of generating the body shape information of the user to be measured according to the feature points of the user to be measured comprises:
acquiring coordinate information of the characteristic points of the user to be measured in a three-dimensional coordinate system;
obtaining the distance between each feature point according to the coordinate information;
and calculating to obtain the shape information of the user to be measured according to the distance and a preset regression equation.
8. The method for generating a body type sample database according to claim 1, wherein after the step of generating the body shape information of the user to be measured according to the feature points of the user to be measured, the method further comprises:
and outputting the physical size information and the physical information of the user to be measured to a preset mobile terminal.
9. The method for generating a body type sample database according to claim 1, wherein after the step of generating the body shape information of the user to be measured according to the feature points of the user to be measured, the method further comprises:
generating clothing recommendation information and/or size recommendation information according to body type information in the body type information of the user to be measured;
and outputting the clothing recommendation information and/or the size recommendation information.
10. A generation apparatus of a body type sample database, the generation apparatus of the body type sample database comprising a memory, a processor and a generation program of the body type sample database stored on the memory and operable on the processor, the generation program of the body type sample database implementing the steps of the generation method of the body type sample database according to any one of claims 1 to 9 when executed by the processor.
11. A computer-readable storage medium, on which a generation program of a body type sample database is stored, which when executed by a processor implements the steps of the generation method of the body type sample database according to any one of claims 1 to 9.
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 CN109766464A (en) | 2019-05-17 |
| CN109766464B true 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) |
Families Citing this family (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 (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140180864A1 (en) * | 2012-12-20 | 2014-06-26 | Ebay Inc. | Personalized clothing recommendation system and method |
| US9928412B2 (en) * | 2014-10-17 | 2018-03-27 | Ebay Inc. | Method, medium, and system for fast 3D model fitting and anthropometrics |
-
2019
- 2019-01-15 CN CN201910035807.1A patent/CN109766464B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 (2)
| Title |
|---|
| 基于正交图片的三维虚拟人体模型重构;崔勇;《中国优秀硕士学位论文全文数据库》;20170315(第3期);I138-4948 * |
| 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》.2017,(第3期),I138-4948. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109766464A (en) | 2019-05-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109522886B (en) | Method and device for measuring body data and computer readable storage medium | |
| US11403866B2 (en) | Method, medium, and system for fast 3D model fitting and anthropometrics using synthetic data | |
| CN107292948B (en) | Human body modeling method and device and electronic equipment | |
| CN109508708B (en) | Method and device for measuring body data and computer readable storage medium | |
| CN108648053A (en) | A kind of imaging method for virtual fitting | |
| JP6262105B2 (en) | Image processing apparatus, image processing system, image processing method, and program | |
| JP2017004464A (en) | Image processor, image processing system, image processing method and program | |
| CN103767219A (en) | Noncontact human body three-dimensional size measuring method | |
| CN109685040B (en) | Method and device for measuring body data and computer readable storage medium | |
| CN109766464B (en) | Method and device for generating body type sample database and computer readable storage medium | |
| JP2022036963A (en) | Size measurement system | |
| CN109064386A (en) | A kind of method for building up of 3 D stereo garment form | |
| WO2019033963A1 (en) | Transaction method and system based on physical store | |
| CN109753489B (en) | Method and device for generating body type sample database and computer readable storage medium | |
| CN112270731A (en) | Dress fitting method and device | |
| JP2016123589A (en) | Apparatus and method for acquiring body information | |
| US11132811B2 (en) | Method and system for improving size selection of garments | |
| WO2018190406A1 (en) | Program, recording medium, information processing method, and information processing device | |
| US20210076764A1 (en) | Measurement garment and measuring system | |
| CN111179417A (en) | Virtual fitting and fitting system and electronic equipment | |
| JP6739111B1 (en) | Uniform sizing system | |
| JP2018163031A (en) | Body contour information analysis system | |
| JP2016123588A (en) | Apparatus and method for acquiring body information | |
| US20210386148A1 (en) | System and method to select wearable items | |
| CN111353844A (en) | Comfort evaluation method and system for virtual fitting, storage medium and terminal |
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 |