CN114996786B - Method and device for designing shoe model based on foot dynamic data - Google Patents
Method and device for designing shoe model based on foot dynamic data Download PDFInfo
- Publication number
- CN114996786B CN114996786B CN202210742168.4A CN202210742168A CN114996786B CN 114996786 B CN114996786 B CN 114996786B CN 202210742168 A CN202210742168 A CN 202210742168A CN 114996786 B CN114996786 B CN 114996786B
- Authority
- CN
- China
- Prior art keywords
- foot
- shoe body
- dynamic
- data
- body model
- 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
- 238000000034 method Methods 0.000 title claims abstract description 42
- 239000000463 material Substances 0.000 claims abstract description 51
- 230000003068 static effect Effects 0.000 claims description 33
- 238000005452 bending Methods 0.000 claims description 26
- 238000013461 design Methods 0.000 claims description 22
- 238000009432 framing Methods 0.000 description 5
- 238000012938 design process Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/16—Customisation or personalisation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Multimedia (AREA)
- General Engineering & Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Psychiatry (AREA)
- Social Psychology (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Software Systems (AREA)
- Footwear And Its Accessory, Manufacturing Method And Apparatuses (AREA)
Abstract
The embodiment of the application discloses a method for designing a shoe model based on foot dynamic data, which comprises the following steps: acquiring foot dynamic data of a user, wherein the foot dynamic data comprises foot integral dynamic walking data and fine dynamic walking data of each foot area; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. According to the scheme, the problem that in the prior art, the existing scheme cannot be reasonably designed by effectively combining the foot dynamic parameters is solved, the shoe shape meeting the real motion requirement is designed, the designed shoe body is more in accordance with the daily foot dynamic state of a user, and the wearing feeling of the user is good.
Description
Technical Field
The embodiment of the application relates to the field of intelligent design, in particular to a method and a device for designing a shoe model based on foot dynamic data.
Background
Along with the improvement of the intelligent degree of equipment, the design of the shoe body model which meets the individual requirements better is an important ring in the field of intelligent design.
In the related art, in the shoe body model design process, measurement based on static data, such as picture photographing, three-dimensional model simulation, etc., is mostly performed, for example, patent document of publication No. CN110249327a, which discloses a system, method, logic, and apparatus that can support shoe design through a 2.5-dimensional (2.5D) shoe model. In some examples, a system may include a 2D shell pattern engine configured to access a 2D shell pattern, the 2D shell pattern generated for a shoe design. The system may also include a 2.5D shoe model engine configured to: generating a 2.5D shoe model by placing user-provided shoe design elements on the 2D shoe shell pattern of the shoe, including forming the 2.5D shoe model by adding 2.5D layering data for each of the shoe design elements placed on the 2D shoe shell pattern, and winding the 2.5D shoe model into a 3D shoe model for building a solid shoe from the 3D shoe model. However, the existing scheme cannot be effectively combined with dynamic parameters of feet to carry out reasonable design, and the shoe shape meeting the real sport requirements is designed.
Disclosure of Invention
The embodiment of the application provides a method and a device for designing a shoe body model based on foot dynamic data, which solve the problems that in the prior art, the existing scheme cannot be effectively combined with foot dynamic parameters to carry out reasonable design, and the shoe body which meets the real motion requirement is designed, so that the designed shoe body is more in line with the daily foot dynamic state of a user, and the wearing feeling of the user is good.
In a first aspect, an embodiment of the present application provides a method for designing a shoe body model based on foot dynamic data, the method comprising:
acquiring foot dynamic data of a user, wherein the foot dynamic data comprises foot integral dynamic walking data and fine dynamic walking data of each foot area;
determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data;
and automatically generating a shoe body model based on the determined shape and material parameters.
Optionally, the acquiring the dynamic data of the foot of the user includes:
acquiring photographed dynamic walking videos of feet of users at different angles;
carrying out framing treatment on the walking video to obtain a plurality of static images of different foot dynamics;
and identifying the static image to obtain dynamic data of the feet of the user.
Optionally, the identifying the static image to obtain dynamic data of the foot of the user includes:
determining a plurality of continuous frame images of the foot landing and the foot leaving in the static image;
and determining the whole foot dynamic walking data according to the continuous frame images.
Optionally, the determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data includes:
determining bending parameters and contact parameters in the walking process according to the whole dynamic walking data of the foot;
and determining the material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body.
Optionally, the identifying the static image to obtain dynamic data of the foot of the user includes:
determining a plurality of continuous frame images of the foot when the foot lands in the static image;
and identifying foot landing areas in the continuous frame images to obtain fine dynamic walking data of each foot area.
Optionally, the determining the shape of each preset part of the shoe body model according to the fine dynamic walking data includes:
and determining shape parameters corresponding to the preset parts according to the landing areas and the duration time of the foot areas, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model.
Optionally, the automatic generation of the shoe body model based on the determined shape and material parameters includes:
and automatically adjusting the initial default shoe body model based on the determined shape, and filling and setting each preset part of the shoe body model based on the determined material parameters.
In a second aspect, an embodiment of the present application further provides an apparatus for designing a shoe body model based on foot dynamic data, the apparatus including:
the data acquisition module is configured to acquire foot dynamic data of a user, wherein the foot dynamic data comprises foot integral dynamic walking data and fine dynamic walking data of each foot area;
the parameter determining module is configured to determine the shape of each preset part of the shoe body model according to the fine dynamic walking data and determine the material parameters of each preset part of the shoe body model according to the whole dynamic walking data;
and the model generation module is configured to automatically generate a shoe body model based on the determined shape and material parameters.
In a third aspect, an embodiment of the present application further provides an apparatus for designing a shoe body model based on foot dynamic data, the apparatus comprising:
one or more processors;
storage means for storing one or more programs,
and when the one or more programs are executed by the one or more processors, the one or more processors implement the method for designing a shoe body model based on the foot dynamic data according to the embodiment of the application.
In a fourth aspect, embodiments of the present application also provide a storage medium storing computer-executable instructions that, when executed by a computer processor, are configured to perform a method for shoe body model design based on foot dynamics data according to embodiments of the present application.
In the embodiment of the application, the foot dynamic data of the user is obtained, wherein the foot dynamic data comprises the whole foot dynamic walking data and the fine dynamic walking data of each foot area; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. According to the scheme, the problem that in the prior art, the existing scheme cannot be reasonably designed by effectively combining the foot dynamic parameters is solved, the shoe shape meeting the real motion requirement is designed, the designed shoe body is more in accordance with the daily foot dynamic state of a user, and the wearing feeling of the user is good.
Drawings
FIG. 1 is a flow chart of a method for shoe body model design based on foot dynamic data according to an embodiment of the present application;
FIG. 2 is a flow chart of another method for shoe body model design based on foot dynamics data according to an embodiment of the present application;
FIG. 3 is a block diagram of a device for shoe body model design based on foot dynamic data according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus for designing a shoe body model based on foot dynamic data according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in further detail below with reference to the drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not limiting of embodiments of the application. It should be further noted that, for convenience of description, only some, but not all of the structures related to the embodiments of the present application are shown in the drawings.
Fig. 1 is a flowchart of a method for designing a shoe body model based on foot dynamic data according to an embodiment of the present application, which may be executed by a shoe body design software system, and specifically includes the following steps:
step S101, acquiring foot dynamic data of a user, wherein the foot dynamic data comprise foot whole dynamic walking data and fine dynamic walking data of each foot area.
In one embodiment, user foot dynamic data of a user is first obtained. The user foot dynamic data comprises foot whole dynamic walking data and fine dynamic walking data of each foot area. Optionally, the acquiring the dynamic data of the foot of the user includes: acquiring photographed dynamic walking videos of feet of users at different angles; carrying out framing treatment on the walking video to obtain a plurality of static images of different foot dynamics; and identifying the static image to obtain dynamic data of the feet of the user. Illustratively, the framing may be based on capturing video frames based on equal time intervals to obtain a plurality of static images of different foot dynamics. And identifying the static image to obtain foot dynamic data of the user when the static image to obtain foot dynamic is obtained. Wherein, the whole dynamic walking data represents the whole posture of the foot in the walking process. The fine dynamic walking data of each foot region characterizes the pose of each region divided in the foot.
In one embodiment, the identifying the static image to obtain user foot dynamic data includes: determining a plurality of continuous frame images of the foot landing and the foot leaving in the static image; and determining the whole foot dynamic walking data according to the continuous frame images. The foot whole dynamic walking data can be bending conditions of the foot in different time sequences and ground contact conditions in the walking process.
In another embodiment, the identifying the static image to obtain user foot dynamic data includes: determining a plurality of continuous frame images of the foot when the foot lands in the static image; and identifying foot landing areas in the continuous frame images to obtain fine dynamic walking data of each foot area. The fine dynamic walking data are the landing area of each foot area under different time sequences and the duration counted when the area lands.
Step S102, determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data.
In one embodiment, the shape and material parameters are designed separately during the shoe body model design process. Specifically, in the shape design process, the shape of each preset part of the shoe body model is determined according to the fine dynamic walking data; and in the material design process, determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data.
Optionally, the determining the material parameters of each preset part of the shoe body model according to the overall dynamic walking data includes: determining bending parameters and contact parameters in the walking process according to the whole dynamic walking data of the foot; and determining the material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body. The bending parameters are determined by the overall dynamic walking data, and bending conditions corresponding to the image with the biggest bending degree of the foot in the overall dynamic walking data are determined to be bending parameters; the contact parameter is determined by the whole dynamic walking data, and the time from the time when the foot is in contact with the ground at any part of the whole foot to the time when the foot is lifted off the ground is taken as the contact parameter.
Wherein, the bending condition that the parameter corresponds of buckling is provided with a plurality of bending threshold intervals in the system inside, and every actual bending parameter and contact parameter can fall into corresponding one bending interval and contact interval, and the combination of different bending intervals and contact interval uniquely corresponds a specific material, and different bending condition, contact condition correspond different materials. When the material design is performed, different bending sections and contact sections may respectively correspond to materials of different preset positions, and the preset positions may be, for example, a sole bottom, a sole heel, a sole surface, and a sole front end, that is, the sole bottom, the sole heel, the sole surface, and the sole front end may respectively correspond to one material alone, or may entirely correspond to one material, and specific material types may be preset.
In another embodiment, in determining the internal shape of the shoe body model, the determining the shape of each preset portion of the shoe body model according to the fine dynamic walking data includes: and determining shape parameters corresponding to the preset parts according to the landing areas and the duration time of the foot areas, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model. The method comprises the steps of obtaining a time point based on the footprint area of a foot region under a time sequence and corresponding to different footprint areas through continuous multi-frame image recognition, forming fine dynamic walking data through statistics of the footprint areas of different parts at different time points, and determining the concave-convex thickness in a shoe body model based on the fine dynamic walking data. For example, if the foot outer side edge is on the ground for a long time and is on the ground preferentially compared with the arch side of the foot, the foot outer side inside the shoe body model is set to be convex for posture correction, wherein the corresponding relationship between the concave-convex inside the specific shoe body and the fine dynamic walking data can be set based on ergonomics according to the developer.
Step S103, automatically generating a shoe body model based on the determined shape and material parameters.
In one embodiment, after the determined shape and material parameters are obtained, corresponding settings of the corresponding shoe body model are performed, such as adjustment of the internal shape of the shoe body model, filling of material parameters of each preset portion, and the like. And further pushing the designed model to a personalized planning product center for manufacturing.
As can be seen from the above, by acquiring the foot dynamic data of the user, the foot dynamic data includes the overall foot dynamic walking data and the fine dynamic walking data of each foot region; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. According to the scheme, the problem that in the prior art, the existing scheme cannot be reasonably designed by effectively combining the foot dynamic parameters is solved, the shoe shape meeting the real motion requirement is designed, the designed shoe body is more in accordance with the daily foot dynamic state of a user, and the wearing feeling of the user is good.
Fig. 2 is a flowchart of another method for designing a shoe body model based on foot dynamic data according to an embodiment of the present application, and a specific and complete example is given as shown in fig. 2. The method specifically comprises the following steps:
step 201, acquiring photographed dynamic walking videos of feet of a user at different angles, and performing framing processing on the walking videos to obtain a plurality of dynamic static images of the feet.
Step S202, determining a plurality of continuous frame images when the foot lands and leaves the ground in the static image, and determining the whole foot dynamic walking data according to the plurality of continuous frame images.
Step 203, determining bending parameters and contact parameters in the walking process according to the whole dynamic walking data of the foot, and determining material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body.
Step S204, a plurality of continuous frame images are determined in the static image when feet land, and the foot land areas in the continuous frame images are identified to obtain fine dynamic walking data of each foot area.
Step 205, determining shape parameters of the corresponding preset parts according to the landing area and the duration time of each foot area, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model.
Step S206, automatically adjusting the initial default shoe body model based on the determined shape, and filling and setting each preset part of the shoe body model based on the determined material parameters.
As can be seen from the above, by acquiring the foot dynamic data of the user, the foot dynamic data includes the overall foot dynamic walking data and the fine dynamic walking data of each foot region; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. According to the scheme, the problem that in the prior art, the existing scheme cannot be reasonably designed by effectively combining the foot dynamic parameters is solved, the shoe shape meeting the real motion requirement is designed, the designed shoe body is more in accordance with the daily foot dynamic state of a user, and the wearing feeling of the user is good.
Fig. 3 is a block diagram of a device for designing a shoe body model based on foot dynamic data according to an embodiment of the present application, where the device is used to execute the method for designing a shoe body model based on foot dynamic data according to the foregoing embodiment, and the device has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 3, the apparatus specifically includes: a data acquisition module 101, a parameter determination module 102 and a model generation module 103,
a data acquisition module 101 configured to acquire user foot dynamic data including foot overall dynamic walking data, and fine dynamic walking data of each foot region;
a parameter determining module 102 configured to determine the shape of each preset portion of the shoe body model according to the fine dynamic walking data, and determine the material parameters of each preset portion of the shoe body model according to the overall dynamic walking data;
the model generation module 103 is configured to automatically generate a shoe body model based on the determined shape and material parameters.
According to the scheme, the foot dynamic data of the user are obtained, wherein the foot dynamic data comprise the whole foot dynamic walking data and the fine dynamic walking data of each foot area; determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data; and automatically generating a shoe body model based on the determined shape and material parameters. According to the scheme, the problem that in the prior art, the existing scheme cannot be reasonably designed by effectively combining the foot dynamic parameters is solved, the shoe shape meeting the real motion requirement is designed, the designed shoe body is more in accordance with the daily foot dynamic state of a user, and the wearing feeling of the user is good. The specific functions executed by each module are as follows:
in one possible embodiment, the acquiring the user foot dynamic data includes:
acquiring photographed dynamic walking videos of feet of users at different angles;
carrying out framing treatment on the walking video to obtain a plurality of static images of different foot dynamics;
and identifying the static image to obtain dynamic data of the feet of the user.
In one possible embodiment, the identifying the static image to obtain user foot dynamic data includes:
determining a plurality of continuous frame images of the foot landing and the foot leaving in the static image;
and determining the whole foot dynamic walking data according to the continuous frame images.
In one possible embodiment, the determining the material parameters of each preset portion of the shoe body model according to the overall dynamic walking data includes:
determining bending parameters and contact parameters in the walking process according to the whole dynamic walking data of the foot;
and determining the material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body.
In one possible embodiment, the identifying the static image to obtain user foot dynamic data includes:
determining a plurality of continuous frame images of the foot when the foot lands in the static image;
and identifying foot landing areas in the continuous frame images to obtain fine dynamic walking data of each foot area.
In one possible embodiment, the determining the shape of each preset portion of the shoe body model according to the fine dynamic walking data includes:
and determining shape parameters corresponding to the preset parts according to the landing areas and the duration time of the foot areas, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model.
In one possible embodiment, the automatically generating the shoe body model based on the determined shape and material parameters includes:
and automatically adjusting the initial default shoe body model based on the determined shape, and filling and setting each preset part of the shoe body model based on the determined material parameters.
Fig. 4 is a schematic structural diagram of an apparatus for designing a shoe body model based on foot dynamic data according to an embodiment of the present application, and as shown in fig. 4, the apparatus includes a processor 201, a memory 202, an input device 203, and an output device 204; the number of processors 201 in the device may be one or more, one processor 201 being taken as an example in fig. 4; the processor 201, memory 202, input devices 203, and output devices 204 in the apparatus may be connected by a bus or other means, for example in fig. 4. The memory 202 is used as a computer readable storage medium for storing software programs, computer executable programs and modules, such as program instructions/modules corresponding to the methods for designing a shoe body model based on foot dynamic data in embodiments of the present application. The processor 201 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 202, i.e., implementing the above-described method of shoe body model design based on foot dynamic data. The input means 203 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the device. The output device 204 may include a display device such as a display screen.
Embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are for performing a method of shoe body model design based on foot dynamics data, the method comprising:
acquiring foot dynamic data of a user, wherein the foot dynamic data comprises foot integral dynamic walking data and fine dynamic walking data of each foot area;
determining the shape of each preset part of the shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data;
and automatically generating a shoe body model based on the determined shape and material parameters.
It should be noted that, in the above embodiment of the apparatus for designing a shoe body model based on foot dynamic data, each unit and module included are only divided according to functional logic, but not limited to the above division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the embodiments of the present application.
In some possible embodiments, the aspects of the method provided by the present application may also be implemented as a program product, which includes a program code for causing a computer device to perform the steps of the method according to the various exemplary embodiments of the present application described in the present specification, when the program product is run on the computer device, for example, the computer device may perform the method for designing a shoe body model based on foot dynamic data described in the embodiment of the present application. The program product may be implemented using any combination of one or more readable media.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. It will be understood by those skilled in the art that the embodiments of the present application are not limited to the particular embodiments described herein, but are capable of numerous obvious changes, rearrangements and substitutions without departing from the scope of the embodiments of the present application. Therefore, while the embodiments of the present application have been described in connection with the above embodiments, the embodiments of the present application are not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the embodiments of the present application, and the scope of the embodiments of the present application is determined by the scope of the appended claims.
Claims (7)
1. A method for shoe body model design based on foot dynamic data, comprising:
acquiring foot dynamic data of a user, wherein the foot dynamic data comprises acquired dynamic walking videos of the foot of the user at different angles, frame-dividing the walking videos to obtain a plurality of static images of different foot dynamic states, identifying the static images to obtain foot dynamic data of the user, wherein the foot dynamic data comprise foot integral dynamic walking data and fine dynamic walking data of each foot region, the foot integral dynamic walking data are bending conditions of the foot in different time sequences and contact conditions of the ground in the walking process, the fine dynamic walking data are landing areas of each foot region in different time sequences and duration counted when the foot is landed, the static images are identified to obtain foot dynamic data of the user, and the foot dynamic data comprise a plurality of continuous frame images when the foot is landed and the foot is separated from the static images, and the foot integral dynamic walking data are determined according to the plurality of continuous frame images;
determining the shape of each preset part of a shoe body model according to the fine dynamic walking data, and determining the material parameters of each preset part of the shoe body model according to the whole dynamic walking data, wherein the method comprises the steps of determining bending parameters and contact parameters in the walking process according to the whole dynamic walking data of the foot, and determining the material parameters of each preset part of the shoe body model according to the bending parameters and the contact parameters, wherein the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body;
and automatically generating a shoe body model based on the determined shape and material parameters.
2. The method for designing a shoe body model based on foot dynamic data according to claim 1, wherein the identifying the static image to obtain the foot dynamic data of the user comprises:
determining a plurality of continuous frame images of the foot when the foot lands in the static image;
and identifying foot landing areas in the continuous frame images to obtain fine dynamic walking data of each foot area.
3. The method for designing a shoe body model based on foot dynamic data according to claim 2, wherein the determining the shape of each preset portion of the shoe body model according to the fine dynamic walking data comprises:
and determining shape parameters corresponding to the preset parts according to the landing areas and the duration time of the foot areas, wherein the shape parameters comprise the concave-convex thickness inside the shoe body model.
4. A method for shoe body model design based on foot dynamics data according to any one of claims 1-3, characterized in that said automatic generation of shoe body model based on determined shape and texture parameters comprises:
and automatically adjusting the initial default shoe body model based on the determined shape, and filling and setting each preset part of the shoe body model based on the determined material parameters.
5. Device for shoe body model design based on foot dynamic data, which is characterized by comprising:
the data acquisition module is configured to acquire foot dynamic data of a user, wherein the foot dynamic data comprise foot overall dynamic walking data and fine dynamic walking data of each foot area, the foot overall dynamic walking data are bending conditions and ground contact conditions of the foot in a walking process, the foot overall dynamic walking data comprise foot areas of each foot area in different time sequences and duration counted when the areas land, the static images are identified to obtain foot dynamic data of the user, the foot dynamic data comprise a plurality of continuous frame images when the feet land and leave the ground are determined in the static images, and the foot overall dynamic walking data are determined according to the continuous frame images;
the parameter determining module is configured to determine the shape of each preset part of the shoe body model according to the fine dynamic walking data and determine the material parameters of each preset part of the shoe body model according to the whole dynamic walking data, wherein the parameter determining module comprises a bending parameter and a contact parameter in the walking process according to the whole dynamic walking data of the foot, and the material parameters of each preset part of the shoe body model are determined according to the bending parameter and the contact parameter, and the preset parts comprise the bottom of the shoe body, the heel of the shoe body, the surface of the shoe body and the front end of the shoe body;
and the model generation module is configured to automatically generate a shoe body model based on the determined shape and material parameters.
6. An apparatus for shoe body model design based on foot dynamics data, the apparatus comprising: one or more processors; storage means for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the method of shoe body model design based on foot dynamics data as recited in any one of claims 1-4.
7. A storage medium storing computer-executable instructions for performing the method of shoe body model design based on foot dynamics data of any one of claims 1-4 when executed by a computer processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210742168.4A CN114996786B (en) | 2022-06-27 | 2022-06-27 | Method and device for designing shoe model based on foot dynamic data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210742168.4A CN114996786B (en) | 2022-06-27 | 2022-06-27 | Method and device for designing shoe model based on foot dynamic data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114996786A CN114996786A (en) | 2022-09-02 |
| CN114996786B true CN114996786B (en) | 2023-10-20 |
Family
ID=83037825
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210742168.4A Active CN114996786B (en) | 2022-06-27 | 2022-06-27 | Method and device for designing shoe model based on foot dynamic data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114996786B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115187733B (en) * | 2022-09-09 | 2023-03-10 | 广东时谛智能科技有限公司 | Method and device for determining shoe body internal model based on foot dynamic data |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015169941A1 (en) * | 2014-05-09 | 2015-11-12 | Materialise N.V. | Methods and apparatuses for designing footwear |
| CN106820450A (en) * | 2017-03-29 | 2017-06-13 | 福建省纳金网信息技术有限公司 | A kind of intelligent dynamic and static foot type data acquisition device and its method |
| CN112956784A (en) * | 2021-03-31 | 2021-06-15 | 湄洲湾职业技术学院 | Method for manufacturing personalized shoe tree |
-
2022
- 2022-06-27 CN CN202210742168.4A patent/CN114996786B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015169941A1 (en) * | 2014-05-09 | 2015-11-12 | Materialise N.V. | Methods and apparatuses for designing footwear |
| CN106820450A (en) * | 2017-03-29 | 2017-06-13 | 福建省纳金网信息技术有限公司 | A kind of intelligent dynamic and static foot type data acquisition device and its method |
| CN112956784A (en) * | 2021-03-31 | 2021-06-15 | 湄洲湾职业技术学院 | Method for manufacturing personalized shoe tree |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114996786A (en) | 2022-09-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2021008126A (en) | Generation of 3d-printed custom-made wearing material | |
| US20210350136A1 (en) | Method, apparatus, device, and storage medium for determining implantation location of recommendation information | |
| US11227368B2 (en) | Method and device for controlling an electronic device based on determining a portrait region using a face region detection and depth information of the face region detected | |
| CN111598998A (en) | Three-dimensional virtual model reconstruction method and device, computer equipment and storage medium | |
| US10463257B2 (en) | System and method for identifying physical properties of feet | |
| CN114996786B (en) | Method and device for designing shoe model based on foot dynamic data | |
| CN104811684B (en) | A kind of three-dimensional U.S. face method and device of image | |
| CN114155328A (en) | Shoe body exclusive customization method and device based on graphic elements and color matching data | |
| CN110349080B (en) | Image processing method and device | |
| CN115098901B (en) | Method and device for determining materials of all parts of shoe body based on personal data analysis | |
| CN110379001A (en) | A kind of foot product method for customizing, device, terminal device and computer readable storage medium | |
| CN115186318A (en) | Method and device for designing shoe body model based on shoe body historical data | |
| WO2015184903A1 (en) | Picture processing method and device | |
| CN106323190A (en) | Depth measurement range-customizable depth measurement method and system for obtaining depth image | |
| CN114648441A (en) | Method and apparatus for shoe body design based on dynamic foot pressure distribution | |
| CN112348931A (en) | Foot reverse motion control method, device, equipment and storage medium | |
| CN111476872B (en) | Image drawing method and image drawing device | |
| CN115527166A (en) | Image processing method, computer-readable storage medium, and electronic device | |
| CN114611177A (en) | Shoe body accessory customization method and device, electronic equipment and storage medium | |
| CN111586309A (en) | Image acquisition method and device for underwater automatic light supplement | |
| CN115187733B (en) | Method and device for determining shoe body internal model based on foot dynamic data | |
| CN113327277A (en) | Three-dimensional reconstruction method and device for half-body image | |
| CN113012039B (en) | Image processing method, image processing device, electronic equipment and storage medium | |
| CN114998531B (en) | Personalized design method and device for building shoe body model based on sketch | |
| CN112837418B (en) | Massage area dividing method, device, equipment and storage medium |
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 |