CN115953548A - Human body figure model creating method and device and electronic equipment - Google Patents
Human body figure model creating method and device and electronic equipment Download PDFInfo
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Abstract
One or more embodiments of the present specification disclose a method, an apparatus, and an electronic device for creating a human figure model, the method including: first information representing the figure characteristics of a target user is determined by responding to user input operation, a three-dimensional figure model matched with the figure of the target user is determined by using the first information, then on the basis of the three-dimensional figure model, the figure parameters in the three-dimensional figure model are adjusted by using the three-dimensional data of the target user, and a human body figure model of the target user is created. The human body stature model obtained by adjusting the three-dimensional stature model matched with the stature of the target user is created through user input in the process, so that the stature of the target user can be displayed more visually, truly and accurately through the three-dimensional model, and the user experience can be improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for creating a human body model, and an electronic device.
Background
The traditional body measuring tool mainly shows the figure of a human body in a form of combining pictures with data, for example, the three-dimensional data of the human body. In the existing scheme, the created human figure model is displayed by pictures, lacks spatial sense and expressive force, cannot accurately and truly display the figure of a user, and has poor user experience.
Disclosure of Invention
One or more embodiments of the present disclosure provide a method and an apparatus for creating a human body stature model, and an electronic device, so as to create a human body stature model adjusted based on a three-dimensional stature model matched with a stature of a target user through user input, thereby displaying the stature of the target user more intuitively, truly, and accurately with the three-dimensional model, and further improving user experience.
To solve the above technical problems, one or more embodiments of the present specification are implemented as follows:
in a first aspect, a method for creating a human figure model is provided, including:
responding to user input operation, and determining first information for representing the stature characteristics of a target user;
determining a three-dimensional stature model matched with the stature of the target user based on the first information;
and adjusting figure parameters in the three-dimensional figure model based on the three-dimensional data of the target user, and creating to obtain the human body figure model of the target user.
In a second aspect, an apparatus for creating a human figure model is provided, which includes:
the first determining module is used for responding to user input operation and determining first information for representing the stature characteristics of a target user;
the second determination module is used for determining a three-dimensional stature model matched with the stature of the target user based on the first information;
and the adjusting module is used for adjusting the stature parameters in the three-dimensional stature model based on the three-dimensional data of the target user and creating and obtaining the human body stature model of the target user.
In a third aspect, an electronic device is provided, including:
a processor; and
a memory configured to store computer executable instructions that, when executed, cause the processor to perform the method of creating a body figure model of the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, which stores one or more programs that, when executed by an electronic device including a plurality of application programs, cause the electronic device to perform the method of creating a body figure model according to the first aspect.
According to the technical scheme provided by one or more embodiments of the specification, the first information representing the figure characteristics of the target user is determined through user input operation, the three-dimensional figure model matched with the figure of the target user is determined by using the first information, then the figure parameters in the three-dimensional figure model are adjusted by using the three-dimensional data of the target user on the basis of the three-dimensional figure model, and the human body figure model of the target user is created. The human body stature model obtained by adjusting the three-dimensional stature model matched with the stature of the target user is created through user input in the process, so that the stature of the target user can be displayed more visually, truly and accurately through the three-dimensional model, and the user experience can be improved.
Drawings
In order to more clearly illustrate one or more embodiments or technical solutions in the prior art, the drawings needed to be used in the description of one or more embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present specification, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1a and fig. 1b are respectively schematic step diagrams of a method for creating a human body stature model provided in an embodiment of the present specification.
Fig. 2a to fig. 2c are schematic diagrams respectively illustrating a human body stature model provided in the embodiment of the present specification.
Fig. 3a and fig. 3b are respectively schematic structural diagrams of a device for creating a human body stature model according to an embodiment of the present specification.
Fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present specification.
Detailed Description
In order to make the technical solutions in the present specification better understood, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the accompanying drawings in one or more embodiments of the present specification, and it is obvious that the one or more embodiments described are only a part of the embodiments of the present specification, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
In view of the software tools of the intelligent measurement type mentioned in the background art, most of the pages thereof show the stature of the human body in a mode of combining the two-dimensional picture with data, and lack the sense of space and expressive force. Therefore, the embodiment of the present specification provides a scheme for creating a human body figure model, in which first information representing the figure characteristics of a target user is determined through a user input operation, a three-dimensional figure model matching the figure of the target user is determined by using the first information, and then on the basis of the three-dimensional figure model, three-dimensional data of the target user is used to adjust the figure parameters in the three-dimensional figure model, so as to create and obtain the human body figure model of the target user. The human body stature model obtained by adjusting the three-dimensional stature model matched with the stature of the target user is created through user input in the process, so that the stature of the target user can be displayed more visually, truly and accurately through the three-dimensional model, and the user experience can be improved.
It should be understood that the creation scheme of the human body model in the present specification may be applicable to various online sizing applications, for example, scenes such as sizing clothes, model fitting, etc., or scenes such as online management applications such as body management, fitness shaping, etc.
The contents of the embodiments referred to in the present specification are described below by way of specific examples.
Referring to fig. 1a, a schematic step diagram of a method for creating a human figure model provided in an embodiment of the present specification, where the method may include the following steps:
step 102: and responding to the user input operation, and determining first information for characterizing the stature of the target user.
In the embodiment of the present specification, the user input operation may be a user voice input operation or a text input operation, or a user image capturing operation or a user image transmitting operation. In a specific implementation, a user may input voice content in a current application through a terminal voice assistant, where the voice content carries voice information for characterizing the stature of a target user. Or, the user inputs the text content in the current application through the terminal keyboard or the soft keyboard, and the text content carries text information for representing the figure characteristics of the target user. The user shoots an image of a target user through a terminal camera, or the user locally transmits or receives an externally transmitted image of the target user through a terminal, wherein the image can be a static or dynamic picture or a video, and the image carries image information for representing the figure characteristics of the target user. The voice information may be a sentence describing the stature and body type of the target user, for example, "a is a pear-shaped stature", or "a is a slightly fat body type, and the hip is fat and the waist is not very thin". The image information can be a picture or a video of the target user, and the picture or the video contains a figure outline for representing the figure characteristics of the target user.
Step 104: and determining a three-dimensional stature model matched with the stature of the target user based on the first information.
After determining the voice information, the text information or the image information for representing the figure characteristics of the target user, an implementable manner may be to use the determined voice information, the text information or the image information to search the three-dimensional figure model matched with the figure of the target user from a preset three-dimensional figure model library, or to predict the matched three-dimensional figure model for the target user based on the three-dimensional figure prediction model.
The preset three-dimensional figure model library is stored with a plurality of three-dimensional figure models in advance, and the three-dimensional figure models can be determined based on the existing figure types. The existing stature types may include: apple type: waist circumference is thick, hip circumference is small, and legs are relatively long and thin; h type: thin + short waist and long leg; pear type: slightly fat, large hip circumference and not too thin waist; a thin hourglass shape: thin waist, large chest circumference, large hip circumference, etc. In fact, the human body stature types can be further divided into more cases according to the subdivision, and only the more common stature types are taken as examples for description.
When the preset three-dimensional figure model library is established, the definition of the figure types is mostly divided by the figure parameter range, so that the figure parameters of a large number of users with different figure types can be obtained, a mean value or median value mode can be adopted for determining standard figure parameters for each figure type aiming at any figure type, and then a corresponding three-dimensional figure model is established for each figure type by using a three-dimensional modeling method according to the standard figure parameters. Thus, a preset three-dimensional stature model library mapped by the stature type and the corresponding three-dimensional stature model is established. For example, "apple shape" corresponds to "three-dimensional stature model 1"; the H shape corresponds to the three-dimensional figure model 2; the pear shape corresponds to a three-dimensional figure model 3; the thin hourglass shape corresponds to the three-dimensional figure model 4.
Further, in order to provide more matched three-dimensional figure models for a user, figure parameters (especially three-dimensional data) of each figure type can be considered as a measurement reference, so that more three-dimensional figure models belonging to the figure type can be created, and fine-grained division can be further performed on a plurality of corresponding three-dimensional figure models in one figure type according to figure parameter values or relations among the figure parameters. For example, "apple shape" corresponds to "the three-dimensional figure model 1a, the three-dimensional figure model 1b, the three-dimensional figure model 1c", wherein "the three-dimensional figure model 1a" corresponds to "the waist area 1, the hip area 1, the leg length area 1", the three-dimensional figure model 1b "corresponds to" the waist area 2, the hip area 2, the leg length area 2"," the three-dimensional figure model 1c "corresponds to" the waist area 3, the hip area 3, the leg length area 3". Therefore, the matched three-dimensional stature model can be found out by using the stature type under the condition that the stature type can be determined, and the matched three-dimensional stature model can be found out according to the extracted stature parameters under the condition that the stature type cannot be determined according to the provided voice information or image information, so that the matching flexibility and accuracy are improved.
Specifically, when the three-dimensional stature model matched with the stature of the target user is determined based on the first information, the stature feature of the target user can be determined according to voice information, text information or image information; the stature feature may specifically be a stature type, such as "apple-shaped", "pear-shaped", or the like; alternatively, the stature characteristic may specifically be a stature parameter describing the type of stature, such as "waist circumference, hip circumference, leg length", or the like. And then, searching a three-dimensional stature model meeting preset matching conditions with stature characteristics of the target user from a preset three-dimensional stature model library. The preset matching condition can be selected according to the specific content of the stature characteristic, and when the stature characteristic is the stature type, the preset matching condition can be defined to be consistent with the stature characteristic of the target user, so that the three-dimensional stature model with the same stature type can be searched according to the stature characteristic of the target user to serve as the three-dimensional stature model meeting the preset matching condition; when the figure features are figure parameters describing figure types, the preset matching conditions can be defined to meet the set similarity with the figure features of the target users, for example, the preset matching conditions have 60% similarity with the specific figure parameters in the figure features of the target users, so that the three-dimensional figure models meeting the set similarity can be searched as the three-dimensional figure models meeting the preset matching conditions according to the figure features of the target users.
After determining voice information, text information or image information for representing the figure characteristics of the target user, extracting the figure characteristics of the target user according to the voice information or the image information; and inputting the stature characteristics of the target user into the three-dimensional stature prediction model, and outputting the three-dimensional stature model of the target user.
The three-dimensional stature prediction model is obtained by repeatedly training voice samples or image samples representing stature characteristics of a plurality of users. The voice samples or the image samples can be marked with the corresponding identification of the three-dimensional figure model, sample characteristics are extracted from the voice samples or the image samples, the model to be trained is input for repeated training, training parameters of the model to be trained are adjusted, and a prediction model capable of predicting the three-dimensional figure model of the user can be obtained. It should be understood that if the speech sample training is used, the obtained three-dimensional figure model predicts the input speech features, and if the image sample training is used, the obtained three-dimensional figure model predicts the input image features.
The matched three-dimensional stature model is determined for the target user in a model prediction mode, and the determination efficiency and accuracy are high, so that the human stature model can be quickly and efficiently created for the target user, and the user experience is improved.
It should be understood that, in the present solution, the user involved in the execution subject responding to the user input operation is not necessarily the target user, and may be a user other than the target user.
Step 106: and adjusting figure parameters in the three-dimensional figure model based on the three-dimensional data of the target user, and creating to obtain the human body figure model of the target user.
In this embodiment of the present description, after the three-dimensional figure model is determined, the three-dimensional data of the target user input by the user may be directly received, or, if the determined voice information, text information, or image information includes the three-dimensional data of the target user, the three-dimensional data may be extracted from the three-dimensional data, and the figure parameter in the three-dimensional figure model matched for the target user is adjusted according to the three-dimensional data, for example, the waist circumference in the three-dimensional figure model matched for the target user is too large, then the waist circumference in the three-dimensional figure model may be adjusted to be smaller according to the waist circumference value in the three-dimensional data of the target user; or, in a special case, the figure parameters in the three-dimensional figure model matched for the target user are consistent with the three-dimensional data of the target user, so that adjustment may not be needed, and the adjustment amplitude at this time may be regarded as zero. After the figure parameters of the three-dimensional figure model matched for the target user are adjusted based on the three-dimensional data of the target user, the matched three-dimensional figure model can be adjusted based on the adjusted figure parameters to obtain the human body figure model of the target user.
Wherein, the three-dimensional data of the target user may include: chest circumference, waist circumference, and hip circumference. In addition, the stature parameters in the three-dimensional stature model can be adjusted based on the three-dimensional data of the target user, and the stature parameters in the three-dimensional stature model can also be adjusted based on the data of the height, the weight and the like of the target user.
Referring to fig. 1b, based on the scheme from step 102 to step 106, the method may further include the following steps:
step 108: and displaying the human body figure model on a display interface of the current user terminal.
Referring to fig. 2a, the created human body model of the target user is displayed on the current interface, and the human body model is obtained by adjusting the three-dimensional body model based on the three-dimensional data of the target user, so that the currently displayed human body model is three-dimensional, and the body of the target user can be displayed in a more intuitive and accurate shape.
After the human figure model is displayed, the human figure model can be controlled to rotate by different angles along a preset direction in response to a first operation of a user on the human figure model; the first operation includes: a slide operation and/or a click operation.
In other words, when a user operating the terminal interface performs a sliding touch or a clicking touch on the currently displayed human body model, or performs a sliding touch and a clicking touch in combination, the user can trigger and control the human body model to rotate along a set axial direction, for example, the user rotates along the axial direction where the human body height is located or rotates along the axial direction where an included angle of 30 degrees is formed with the axial direction where the human body height is located. In a specific implementation, the correlation between the sliding amplitude and the rotation angle may also be set, for example, the human figure model may rotate by 15 ° by sliding once or for a certain distance, wherein the sliding direction and the rotating direction are the same. For another example, the figure model can be rotated 20 ° to the left by clicking once on the left side of the figure model, and can be rotated 20 ° to the right by clicking once on the right side of the figure model. It should be understood that the above rotation angles are only examples, and the specific rotation angle can be flexibly set according to the requirement of rotation accuracy. Referring to fig. 2b, the figure model of the target user is rotated 180 degrees along the center axis of the height, and then the back of the figure model is displayed.
The human body model is controlled to rotate at different angles along the preset direction through touch control operation of a user, so that the human body model of a target user can be dynamically displayed in all-dimensional and multi-angle modes, the user can observe conveniently, and user experience is improved.
Further, after the human body figure model is displayed, a plurality of display controls can be created on an interface where the human body figure model is located, wherein each display control is respectively associated with a corresponding part of the human body figure model; and then respectively displaying the figure parameter values of the corresponding parts in the plurality of display controls based on the figure parameters in the human body figure model.
In specific implementation, after the human body model is displayed, display controls related to the part are created and displayed near the corresponding part of the human body model, and the figure parameter value of the related part is marked in each display control. For example, a display frame is created near the shoulders of the human figure model, in which the shoulder width dimension of the human figure model is marked, which may be a range, or a fixed value. Referring to fig. 2a, the height/weight of the target user is shown as: 180cm/60kg; the shoulder width is: 47cm; chest circumference: 92cm; waist circumference: 80cm; hip circumference: 98cm.
Optionally, after the figure parameter values of the corresponding parts are respectively displayed in the multiple display controls based on the figure parameters in the human body figure model, a part of the human body figure model associated with any display control in the multiple display controls can be locally enlarged in response to a second operation of a user on the display control; and displaying the figure parameter column on the current interface, and marking the figure parameter value of the amplified part in the scale.
Based on the display controls created above, the display controls are touch-operated, for example, by double-clicking the display controls, the stature parameter values marked in the display controls can be modified. For another example, clicking the display control can locally enlarge the part associated with the display control, and display the enlarged part on the current interface, that is, the global view angle of the human body model is switched to the close-up view angle of a certain part in the human body model. Referring to fig. 2c, while switching, a stature parameter bar may be displayed on the current interface, where the stature parameter bar displays a plurality of stature parameters, such as height, weight, shoulder width, chest circumference, waist circumference, hip circumference, and the like. In addition, an adjustable scale is also displayed, and the scale can be a rolling scale for rolling and adjusting the figure parameter value or a graduated scale for sliding and adjusting the figure parameter value.
Optionally, after the enlarged part is displayed on the current interface, the other part which is partially enlarged may be switched and displayed in response to a third operation of the user on the stature parameter bar. The third operation may be clicking a menu item where a certain figure parameter is located in the figure parameter bar, so as to implement the switching display of the locally amplified part. For example, assuming that the enlarged part currently displayed is the shoulder, the user can switch to displaying the enlarged view of the hip in the human figure model by clicking the hip circumference in the figure parameter column.
It should be understood that, in the close-up view, the corresponding enlarged portion of the human figure model may also be rotated based on the sliding touch or the clicking touch of the user, and the specific rotation manner and the amplitude may refer to the rotation operation in the global view.
Or after the enlarged part is displayed on the current interface, synchronizing the figure parameter values in the human body figure model in response to the adjustment operation of the user on the figure parameter values marked in the scale, and updating the human body figure model based on the synchronized figure parameter values. Namely, under the close-up visual angle, the figure parameter value in the human body model can be adjusted by adjusting the figure parameter value in the scale so as to update the human body model.
Optionally, after the human body figure model of the target user is created and displayed, the target weight can be predicted for the target user by using the three-dimensional figure model based on the expected figure proportion input by the user. The function of predicting the target weight may be performed on the premise that a body parameter, i.e., the weight, is adjustable. After the target user determines the expected stature proportion, the stature parameter value to be adjusted can be determined according to the expected stature proportion, and therefore the target weight is updated and determined by using the three-dimensional stature model. Thus, the target user can make a clear weight loss or weight gain plan according to the comparison between the determined target weight and the current weight.
Extracting first information representing the figure characteristics of a target user through user input operation, determining a three-dimensional figure model matched with the figure of the target user by using the first information, adjusting the figure parameters in the three-dimensional figure model by using the three-dimensional data of the target user on the basis of the three-dimensional figure model to obtain a human body figure model of the target user, and displaying the human body figure model on a current interface. The human body stature model obtained by adjusting the three-dimensional stature model matched with the stature of the target user is created through user input in the process, so that the stature of the target user can be displayed more visually, truly and accurately through the three-dimensional model, and the user experience can be improved.
It should be understood that when the above-mentioned human body figure model creation scheme is used in a tailoring tool, the figure parameters of the target user can be obtained more intuitively, comprehensively and accurately, the size of the target user can be obtained quickly and accurately, and the tailoring size can be determined conveniently. When the establishment scheme of the human body figure model is used in the body measuring and fitting tool, the fitting effect of a target user can be intuitively and comprehensively fed back by combining the clothes image to be fitted, and the user experience is improved.
Referring to fig. 3a, for an apparatus for creating a human body stature model provided in an embodiment of the present disclosure, the apparatus 300 may include:
a first determining module 302, configured to determine, in response to a user input operation, first information for characterizing a stature of a target user;
a second determining module 304, configured to determine a three-dimensional stature model matching the stature of the target user based on the first information;
an adjusting module 306, configured to adjust a stature parameter in the three-dimensional stature model based on the three-dimensional data of the target user, and create a human stature model of the target user.
Optionally, as an embodiment, referring to fig. 3b, the apparatus further includes:
and the display module 308 is used for displaying the human figure model.
Optionally, as an embodiment, the apparatus further includes: a rotation module; after the display module 308 displays the human figure model, the rotation module is configured to control the human figure model to rotate by different angles along a preset direction in response to a first operation of a user on the human figure model; the first operation includes: a slide operation and/or a click operation.
In a specific implementation manner of the embodiment of the present specification, the display module 308 is further configured to create a plurality of display controls on an interface where the human figure model is located after displaying the human figure model, and respectively display figure parameter values of corresponding portions in the plurality of display controls based on figure parameters in the human figure model. And each display control is respectively associated with the corresponding part of the human body figure model.
In yet another specific implementation manner of the embodiment of the present specification, after the display module 308 respectively displays the figure parameter values of corresponding portions in the multiple display controls based on the figure parameters in the human body figure model, the display module is further configured to locally enlarge a portion of the human body figure model associated with any one of the multiple display controls in response to a second operation of a user on the display control; and displaying a figure parameter column on the current interface, and marking the figure parameter value of the amplified part in the scale.
In another specific implementation manner of the embodiment of the present specification, the displaying module 308 is further configured to switch and display other locally enlarged parts in response to a third operation of the user on the stature parameter bar; and/or; and responding to the adjustment operation of the user on the figure parameter value of the mark in the scale, synchronizing the figure parameter value in the human body figure model, and updating the human body figure model based on the synchronized figure parameter value.
In another specific implementation manner of the embodiment of the present specification, the apparatus for creating a human body stature model further includes a prediction module, configured to predict a target weight for a target user by using the three-dimensional stature model based on a desired stature ratio input by the user.
In another specific implementation manner of the embodiment of the present specification, when the extracting module 302 is configured to extract the first information used for characterizing the stature characteristic of the target user in response to a user input operation, the extracting module is specifically configured to extract the voice information used for characterizing the stature characteristic of the target user in response to a user voice input operation; or, in response to the user image shooting operation or the image transmission operation, extracting image information for characterizing the stature of the target user.
In another specific implementation manner of the embodiment of the present specification, when determining the three-dimensional stature model matched with the stature of the target user based on the first information, the determining module 304 is specifically configured to determine the stature feature of the target user according to the voice information or the image information; and searching a three-dimensional figure model meeting preset matching conditions with the figure characteristics of the target user from a preset three-dimensional figure model library.
In another specific implementation manner of the embodiment of the present specification, when determining the three-dimensional stature model matching the stature of the target user based on the first information, the determining module 304 is specifically configured to extract the stature feature of the target user according to the voice information or the image information; inputting the stature characteristics of the target user into the three-dimensional stature prediction model, and outputting the three-dimensional stature model of the target user; the three-dimensional stature prediction model is obtained by repeatedly training voice samples or image samples representing stature characteristics of a plurality of users.
Extracting first information representing the figure characteristics of the target user through user input operation, determining a three-dimensional figure model matched with the figure of the target user by using the first information, adjusting figure parameters in the three-dimensional figure model by using the three-dimensional data of the target user on the basis of the three-dimensional figure model to obtain a human body figure model of the target user, and displaying the human body figure model on a current interface. The human body stature model obtained by adjusting the three-dimensional stature model matched with the stature of the target user is created through user input in the process, so that the stature of the target user can be displayed more visually, truly and accurately through the three-dimensional model, and the user experience can be improved.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. Referring to fig. 4, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware needed for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the device for creating the human body figure model on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:
responding to user input operation, and determining first information for representing the stature characteristics of a target user; determining a three-dimensional stature model matched with the stature of the target user based on the first information; and adjusting figure parameters in the three-dimensional figure model based on the three-dimensional data of the target user, and creating to obtain the human body figure model of the target user.
The method performed by the apparatus according to the embodiment shown in fig. 3 of the present specification can be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The methods, steps, and logic blocks disclosed in one or more embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with one or more embodiments of the present disclosure may be embodied directly in hardware, in a software module executed by a hardware decoding processor, or in a combination of the hardware and software modules executed by a hardware decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and combines hardware thereof to complete the steps of the method.
The electronic device may also execute the method of fig. 1 and implement the functions of the corresponding apparatus in the embodiment shown in fig. 1, which are not described herein again in this specification.
Of course, besides the software implementation, the electronic device of the embodiment of the present disclosure does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.
Embodiments of the present specification also propose a computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device comprising a plurality of application programs, are capable of causing the portable electronic device to perform the method of the embodiment shown in fig. 1, and in particular for performing the method of:
responding to user input operation, and determining first information for representing the stature characteristics of a target user; determining a three-dimensional stature model matched with the stature of the target user based on the first information; and adjusting figure parameters in the three-dimensional figure model based on the three-dimensional data of the target user, and creating to obtain the human body figure model of the target user.
In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present specification shall be included in the protection scope of the present specification.
The system, apparatus, module or unit illustrated in one or more of the above embodiments may be implemented by a computer chip or an entity, or by an article of manufacture with a certain functionality. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the system embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Claims (13)
1. A method for creating a human body stature model comprises the following steps:
responding to user input operation, and determining first information for representing the stature characteristics of a target user;
determining a three-dimensional stature model matched with the stature of the target user based on the first information;
and adjusting figure parameters in the three-dimensional figure model based on the three-dimensional data of the target user, and creating to obtain the human body figure model of the target user.
2. The method for creating the human stature model of claim 1, after creating the human stature model of the target user, the method further comprising:
and displaying the human body figure model on a display interface of the current user terminal.
3. The method for creating the human stature model according to claim 2, after the displaying interface of the current user terminal displays the human stature model, the method further comprising:
responding to a first operation of a user on the human body figure model, and controlling the human body figure model to rotate by different angles along a preset direction; the first operation includes: a slide operation and/or a click operation.
4. The method for creating a stature model according to claim 2, after the stature model is displayed on a display interface of a current user terminal, the method further comprising:
creating a plurality of display controls on a display interface where the human body figure model is located, wherein each display control is respectively associated with a corresponding part of the human body figure model;
and respectively displaying figure parameter values of corresponding parts in the plurality of display controls based on the figure parameters in the human body figure model.
5. The method for creating a human body stature model according to claim 4, wherein after the stature parameter values of the corresponding parts are respectively displayed in the plurality of display controls based on the stature parameters in the human body stature model, the method further comprises:
responding to a second operation of the user on any display control in the plurality of display controls, and locally amplifying a part in the human body stature model, which is associated with the display control;
and displaying the figure parameter column on the current interface, and marking the figure parameter value of the amplified part in the scale.
6. The method for creating a body figure model according to claim 5, further comprising:
responding to a third operation of the user for the stature parameter bar, and switching and displaying other parts which are locally enlarged; and/or;
and responding to the adjustment operation of the user on the figure parameter value of the mark in the scale, synchronizing the figure parameter value in the human body figure model, and updating the human body figure model based on the synchronized figure parameter value.
7. The method for creating a body figure model according to claim 2, further comprising:
and predicting the target weight for the target user by using the three-dimensional stature model based on the expected stature proportion input by the user.
8. The method for creating the human body figure model according to claim 2, wherein the step of determining the first information for characterizing the figure of the target user in response to the user input operation comprises the following steps:
responding to the voice input operation of the user, and determining voice information for representing the stature characteristic of the target user; alternatively, the first and second electrodes may be,
responding to the character input operation of a user, and determining text information for representing the stature characteristic of the target user; alternatively, the first and second electrodes may be,
and determining image information for representing the figure characteristics of the target user in response to the user image shooting operation or the image transmission operation.
9. The method for creating a human body stature model according to claim 8, wherein determining a three-dimensional stature model matching the stature of the target user based on the first information comprises:
determining the stature characteristic of the target user according to the voice information or the image information;
and searching a three-dimensional stature model meeting preset matching conditions with stature characteristics of the target user from a preset three-dimensional stature model library.
10. The method for creating a human body stature model according to claim 8, wherein determining a three-dimensional stature model matching the stature of the target user based on the first information comprises:
extracting the stature characteristic of the target user according to the voice information or the image information;
inputting the stature characteristics of the target user into the three-dimensional stature prediction model, and outputting the three-dimensional stature model of the target user; the three-dimensional stature prediction model is obtained by repeatedly training voice samples or image samples representing stature characteristics of a plurality of users.
11. An apparatus for creating a body figure model, comprising:
the first determining module is used for responding to user input operation and determining first information for representing the stature characteristics of a target user;
the second determination module is used for determining a three-dimensional stature model matched with the stature of the target user based on the first information;
and the adjusting module is used for adjusting the stature parameters in the three-dimensional stature model based on the three-dimensional data of the target user and creating and obtaining the human body stature model of the target user.
12. An electronic device, comprising:
a processor; and
a memory configured to store computer-executable instructions that, when executed, cause the processor to perform the method of creating a body figure model of any one of claims 1-10.
13. A computer-readable storage medium storing one or more programs which, when executed by an electronic device including a plurality of application programs, cause the electronic device to perform the method of creating a body figure model according to any one of claims 1 to 10.
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| CN202211616252.8A CN115953548A (en) | 2022-12-15 | 2022-12-15 | Human body figure model creating method and device and electronic equipment |
| PCT/CN2023/138891 WO2024125611A1 (en) | 2022-12-15 | 2023-12-14 | Body shape model creation method and apparatus, and electronic device |
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| CN202211616252.8A CN115953548A (en) | 2022-12-15 | 2022-12-15 | Human body figure model creating method and device and electronic equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116540903A (en) * | 2023-07-07 | 2023-08-04 | 深圳市景创科技电子股份有限公司 | Virtual reality interaction method and device, audio-visual equipment and computer medium |
| WO2024125611A1 (en) * | 2022-12-15 | 2024-06-20 | 杭州阿里巴巴海外互联网产业有限公司 | Body shape model creation method and apparatus, and electronic device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110009730A (en) * | 2019-03-26 | 2019-07-12 | 深圳大学 | A kind of modeling method based on smart machine three-dimensional human body measurement |
| US10813715B1 (en) * | 2019-10-16 | 2020-10-27 | Nettelo Incorporated | Single image mobile device human body scanning and 3D model creation and analysis |
| CN112819944B (en) * | 2021-01-21 | 2022-09-27 | 魔珐(上海)信息科技有限公司 | Three-dimensional human body model reconstruction method and device, electronic equipment and storage medium |
| CN115953548A (en) * | 2022-12-15 | 2023-04-11 | 阿里巴巴（中国）有限公司 | Human body figure model creating method and device and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2024125611A1 (en) * | 2022-12-15 | 2024-06-20 | 杭州阿里巴巴海外互联网产业有限公司 | Body shape model creation method and apparatus, and electronic device |
| CN116540903A (en) * | 2023-07-07 | 2023-08-04 | 深圳市景创科技电子股份有限公司 | Virtual reality interaction method and device, audio-visual equipment and computer medium |
| CN116540903B (en) * | 2023-07-07 | 2024-02-23 | 深圳市景创科技电子股份有限公司 | Virtual reality interaction method and device, audio-visual equipment and computer medium |
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