Wearing shoe inner side surface generation method and system based on sparse shell parameters and fitting compensation space, and storage medium

Abstract

The application discloses a wearable nail inside surface generation method and system based on sparse nail surface parameters and fitting compensation space and a storage medium, and belongs to the technical field of digital design and intelligent manufacturing of wearable nails, and comprises the following steps: acquiring sparse nail surface parameters of a natural nail of a user; performing parameter normalization and coordinate definition according to the sparse nail surface parameters, and establishing a normalized parameter domain; selecting an initial template surface from a nail type curvature gear library according to the normalized sparse nail surface parameters, and performing parameterized adjustment to generate a parameterized inside surface adapted to the user; and generating a fitting compensation space according to a glue layer type and a wearing preference. The length, root width, middle width, leading edge width, transverse arch height, longitudinal bending, root arc type and other sparse nail surface parameters of the natural nail of the user are acquired, an initial template surface matched with the shape of the natural nail of the user is selected from the nail type curvature gear library, and parameterized adjustment is performed to generate an adapted inside surface.

Description

Technical Field

[0001] This application belongs to the field of digital design and intelligent manufacturing technology for wearable armor, specifically involving parametric surface modeling, armor type library matching, sparse parameter estimation, adhesive layer compensation space, wearable product structural design and flexible manufacturing data generation technology. Background Technology

[0002] The naturalness of wearable nail products largely depends on whether the inner curvature of the nail tip, the root edge, the side edges, and the thickness of the adhesive layer match the user's natural nails. Existing standard wearable nails typically use fixed sizes and fixed curvatures, with users choosing an approximate size through trial fittings. This method is low-cost and efficient, but it is prone to problems such as a step at the root, exposed sides, localized hollow areas, a feeling of pressure, lifting edges, and an unnatural appearance upon close inspection, making it difficult to meet consumers' dual needs for comfort and aesthetics.

[0003] To improve fit, some digital solutions use 3D scanning of the user's nails, point cloud reconstruction, mesh processing, shape transformation, and 3D printing to generate customized artificial nail pieces. However, this approach typically requires specialized equipment such as structured light scanners and laser scanners, as well as complex point cloud / mesh processing workflows and high data quality requirements. The equipment costs are high, the operation threshold is high, and the process is cumbersome, making it difficult to promote and apply in large-scale customization scenarios for commercial wearable nails.

[0004] In actual commercial scenarios for wearable nails, users are often more receptive to methods such as taking photos, using size charts, manual measurement, selecting curvature levels, or collecting only a few parameters.

[0005] To this end, we provide a method, system, and storage medium for generating the inner curved surface of wearable nails based on sparse nail surface parameters and fitting compensation space. Summary of the Invention

[0006] The purpose of this invention is to solve the problems in the prior art by proposing a method, system and storage medium for generating the inner curved surface of wearable nails based on sparse nail surface parameters and fitting compensation space.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] A method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space includes the following steps:

[0009] Obtain the sparse nail surface parameters of the user's natural nails;

[0010] Based on the sparse surface parameters, parameter normalization and coordinate definition are performed to establish a normalized parameter domain;

[0011] Based on the normalized sparse A-surface parameters, an initial template surface is selected from the A-type curvature level library and parametrically adjusted to generate a user-adapted parametric inner surface.

[0012] A fit compensation space is generated based on one or more of the following: adhesive layer type, wearing preference, fit zone strategy, and historical trial / quality inspection feedback.

[0013] The inner fitting surface of the wearable armor is generated based on the parameterized inner surface and the fitting compensation space.

[0014] The inner surface of the wearable armor is subjected to edge constraint treatment, including thinning at the root, releasing at the side, rounding at the corners, and reinforcing at the leading edge.

[0015] Output the parameter domain of the target surface;

[0016] The sparse nail surface parameters include: the length of the natural nail. Root width Middle width Leading edge width Horizontal arch height Longitudinal bending Root arc type and side shape parameters .

[0017] Preferably, after generating the inner fitting surface of the wearable armor based on the parameterized inner surface and the fitting compensation space, the method further includes:

[0018] Fitting evaluation is performed based on the sparse nail surface parameters, template surface, and fitting compensation space, and fitting evaluation indicators are generated. The fitting evaluation indicators include root step risk, side compression risk, central hollow risk, leading edge warping risk, and fitting confidence.

[0019] Preferably, the step of selecting an initial template surface from the A-type curvature level library based on the normalized sparse A-type surface parameters specifically includes:

[0020] Based on the length, width, root arc type, and lateral arch height of the natural nail, a matching template surface is retrieved from the nail type curvature level library; the nail type curvature level library contains multiple nail plate inner surface templates classified by width, length, arch height, root arc, and curvature level.

[0021] Preferably, the parameterized inner surface is generated in the following manner:

[0022] In the normalized parameter domain The inner curved surface of the plate is defined above, where Indicates horizontal position. Indicates the longitudinal position from the root to the leading edge. , The value of can be in the range of [0,1];

[0023] From the root width Middle width and leading edge width The width function is obtained by spline or polynomial fitting. ;

[0024] From the lateral arch height parameter The function that determines the lateral arch height based on the curvature setting. ;

[0025] From longitudinal bending parameters Determine the longitudinal bending function ;

[0026] A parameterized inner reference surface is generated based on the width function, the transverse arch height function, and the longitudinal bending function. ;

[0027] The parameterized inner reference surface Represented as:

[0028]

[0029] in, This is a function of the lateral arch height. For longitudinal bending function, It is a horizontal arch function;

[0030] The final inner surface is generated based on the parametric inner reference surface, combined with boundary curves, root thin edges, side release, rounded transitions, leading edge reinforcement, and fitting compensation terms.

[0031] Preferably, the fitting compensation space Used to describe the gap reserved between the natural nail reference surface and the inner surface of the worn nail;

[0032] The fitting compensation space consists of the base adhesive layer thickness, area correction item, user preference correction item, and feedback correction item;

[0033] The bonding compensation space can be adjusted according to the type of adhesive film, liquid adhesive, double-sided adhesive, peelable adhesive or other adhesive layers.

[0034] Preferably, the fitting compensation space Different compensation strategies are adopted for different regions:

[0035] The root area uses small gaps, thin edges, and smooth transitions to reduce root steps and visual illusion;

[0036] The side areas feature side release, rounded corners, and moderate gaps to reduce snagging, hair snags, and pressure.

[0037] The central area employs stable support and continuous adhesive layer coverage to reduce air pockets and improve adhesion stability;

[0038] The leading edge region incorporates strength compensation and anti-warping design to improve durability and leading edge stability;

[0039] The compensation strategy synchronously generates a fitting partition map. And the edge structure parameter EdgeProfile.

[0040] Preferably, generating the inner fitting surface of the wearable armor based on the parameterized inner surface and the fitting compensation space specifically includes:

[0041] Parametric inner reference surface Fit and compensation space Combined, the final inner surface of the wearable armor is generated. :

[0042]

[0043] in, The direction of the surface normal vector. This refers to the local normal direction or preset compensation direction of the parameterized inner reference surface.

[0044] Preferably, after generating the inner fitting surface of the wearable armor, the method further includes:

[0045] Update the curvature setting selection, compensation space parameters, and edge parameters based on trial wear feedback or quality inspection feedback;

[0046] Output target surface parameter domain The target surface parameter domain is used for subsequent micro-relief design, prototype model generation, and UV layer mapping.

[0047] The output data objects include: the inner surface of the wearer's armor. Fitting and compensating space Fitting the partition map Edge structure parameters Adhesive layer compatibility diagram And fit rating ;

[0048] Risk map, parameter source, template number, curvature level, compensation strategy, and feedback version history.

[0049] Preferably, a system for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space is also provided, specifically including:

[0050] Sparse parameter acquisition module: used to acquire sparse nail surface parameters of the user's natural nails;

[0051] Parameter normalization module: used to normalize parameters and define coordinates based on the sparse surface parameters, and establish a normalized parameter domain;

[0052] Curvature Gear Library Module: Used to store and retrieve Type A curvature gear templates;

[0053] Inner surface generation module: used to select an initial template surface from the A-type curvature level library based on the normalized sparse A-type surface parameters and perform parametric adjustments to generate a user-adapted parametric inner surface;

[0054] Fit Compensation Space Module: Used to generate fit compensation space based on adhesive layer type and wearing preference;

[0055] Data export module: used to generate the inner fitting surface of the wearable armor based on the parameterized inner surface and the fitting compensation space, and output the target surface parameter domain.

[0056] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0057] 1. This invention obtains sparse nail surface parameters such as the length, root width, middle width, front edge width, lateral arch height, longitudinal curvature, and root arc type of the user's natural nail. It then selects an initial template surface matching the user's natural nail shape from a nail curvature level library and performs parametric adjustments to generate a suitable inner surface. Simultaneously, different target gaps and pressing strategies are configured according to the wearing needs of different areas—small gaps and thin edges are used for a smooth transition in the root area to reduce the step-like feel; release and rounded corners are used in the side areas to reduce pressure and hair snagging risks; stable support is maintained in the central area to reduce air pockets; and strength compensation and anti-lifting design are implemented in the front edge area. Compared to the "one-size-fits-all" approach of standard nail art, this invention can provide differentiated adaptation based on the individual nail surface shape of the user, significantly improving fit and wearing comfort.

[0058] 2. This invention does not rely on structured light scanning, dense point cloud construction, irregular mesh sampling, or topological deformation as core necessary steps. Instead, it generates a parametric inner surface based on sparse nail surface parameters obtained by users through low-cost methods such as taking photos of size cards, manual measurement, and multi-angle photo estimation, combined with a pre-established nail curvature level library. Users only need to provide a few obtainable parameters such as length, width, lateral arch height, and root arc type. This invention does not require complete 3D scanning, dense point cloud construction, or topological deformation as necessary steps. In implementations using only size cards, photos, manual measurement, or low-cost contour tools, it reduces reliance on expensive scanning equipment. This significantly lowers the technical threshold and implementation cost of personalized wearable armor customization, making large-scale, low-cost semi-custom wearable armor manufacturing possible.

[0059] 3. After generating the inner fitting surface, this invention further evaluates the fit based on sparse nail surface parameters, template surface, and fitting compensation space, generating quantitative evaluation indicators such as root step risk, side pressure risk, central hollow risk, leading edge lifting risk, and fit confidence. Based on this, the system can update the curvature level selection, compensation space parameters, and edge parameters according to trial wear feedback or quality inspection feedback—for example, if a user reports significant side pressure, the system maps this feedback to side release parameters, reducing side curvature or increasing side gap in the next generation; if the feedback indicates a significant root step, the system reduces the root edge thickness and increases the root transition length. This feedback update mechanism enables the system to form a complete closed-loop optimization, continuously improving the fit and wearing comfort of the generated inner surface of the wearable nail, while also providing data support for the continuous enrichment and optimization of the nail curvature level library. Attached Figure Description

[0060] Figure 1 The figure shows a flowchart of a method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space according to an embodiment of this application;

[0061] Figure 2 The diagram shows a sparse nail surface parameter diagram according to an embodiment of this application;

[0062] Figure 3 The diagram shows a schematic of a type A curvature gear library according to an embodiment of this application;

[0063] Figure 4 The diagram shows a parameterized inner surface generation according to an embodiment of this application;

[0064] Figure 5 The diagram shows a fitting compensation space according to an embodiment of this application;

[0065] Figure 6 The diagram shows a release diagram of the root thin edge and side edge according to an embodiment of this application;

[0066] Figure 7 The diagram shows a schematic of a wearable nail inner surface generation system based on sparse nail surface parameters and fitting compensation space, according to an embodiment of this application. Detailed Implementation

[0067] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0068] Figure 1 The diagram shows a flowchart of a method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space, according to an embodiment of this application.

[0069] like Figures 1 to 7 As shown, the method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space in this embodiment specifically includes the following steps:

[0070] S101: Obtain the sparse nail surface parameters of the user's natural nails.

[0071] Specifically, in combination Figure 2 As shown, the sparse nail surface parameters include:

[0072] Length of natural nails Root width Middle width Leading edge width Horizontal arch height Longitudinal bending Root arc type and side shape parameters .

[0073] Sparse nail surface parameters can be obtained in a variety of ways, including but not limited to:

[0074] 1) Size / calibration card photo method: The user places their finger on a card with scales or calibration points and takes a photo. The system recognizes the root outline, length and width parameters of the natural nail.

[0075] 2) Manual measurement input method: Users measure the length and width with a soft ruler, calipers or paper ruler and input them.

[0076] 3) Multi-angle photo estimation method: estimate the lateral arch height, longitudinal curvature and side shape by taking front and side photos.

[0077] 4) Standard nail fitting feedback method: Users try on standard nail tips and provide feedback on whether they are too tight, too loose, curling at the edges, or causing pressure.

[0078] 5) Low-cost contour tool method: Use simple embossing, contour gauge or curvature ruler to obtain approximate transverse cross section.

[0079] The embodiments of this application do not limit the specific acquisition device, nor do they require a complete 3D scan.

[0080] S102: Based on the sparse surface parameters, normalize the parameters and define the coordinates to establish a normalized parameter domain.

[0081] Specifically, the length direction of the natural nail is defined as the vv axis, and the width direction is defined as the uu axis, establishing a normalized parameter domain. Scale normalization is performed on the length, width, arch height, and root curvature, allowing nails of different sizes to be processed and compared within a unified parameter space.

[0082] S103: Select an initial template surface from the A-type curvature level library based on the normalized sparse A-type surface parameters, and perform parametric adjustments to generate a user-adapted parametric inner surface.

[0083] Specifically, such as Figure 3 As shown, the A-type curvature level library is a pre-established collection of templates for the inner curved surface of the a-type plate, which can be classified and stored according to width, length, arch height, root arc, curvature level, etc.

[0084] The template selection process specifically includes: retrieving a matching template surface from the nail type curvature level library based on the length, width, root arc type, and lateral arch height of the natural nail.

[0085] like Figure 4 As shown, the specific method for generating the parametric inner surface is as follows:

[0086] In the normalized parameter domain The inner curved surface of the plate is defined above, where Indicates horizontal position. Indicates the longitudinal position from the root to the leading edge. ;

[0087] From the root width Middle width and leading edge width The width function is obtained by spline or polynomial fitting. ;

[0088] From the lateral arch height parameter The function that determines the lateral arch height based on the curvature setting. ;

[0089] From longitudinal bending parameters Determine the longitudinal bending function ;

[0090] A parameterized inner reference surface is generated based on the width function, the transverse arch height function, and the longitudinal bending function. ;

[0091] As an optional implementation, the example parametric surface can be represented as:

[0092]

[0093] in, It is a horizontal arch function, which can be parabolic, elliptical, spline, or other horizontal arch functions.

[0094] S104: Generate fit compensation space based on adhesive layer type and wearing preference.

[0095] like Figure 5 As shown, the fit compensation space is used to describe the gap reserved between the natural nail reference surface and the inner surface of the worn nail. This gap can be used to accommodate jelly film, liquid glue, local compression deformation, manufacturing errors, and wearing comfort allowance.

[0096] In one implementation, the fitting compensation space is... It consists of base adhesive layer thickness, regional correction items, user preference correction items, and feedback correction items. The compensation strategies for different regions are as follows:

[0097] The root area uses smaller gaps, thinner edges, and smooth transitions to reduce root steps and visual illusions;

[0098] The side areas feature side release, rounded corners, and moderate gaps to reduce snagging, hair snags, and pressure.

[0099] The central area employs stable support and continuous adhesive layer coverage to reduce air pockets and improve adhesion stability;

[0100] The leading edge region incorporates strength compensation and anti-warping design to improve durability and leading edge stability.

[0101] S105: Generate the inner fitting surface of the wearable armor based on the parameterized inner surface and the fitting compensation space.

[0102] Specifically, the parameterized inner reference surface Fit and compensation space Combined, the final inner surface of the wearable armor is generated. :

[0103]

[0104] in, The direction of the surface normal vector.

[0105] Example 2

[0106] In this embodiment 2, after generating the inner fitting surface of the wearable armor based on the parameterized inner surface and the fitting compensation space in S105 of embodiment 1, a fitting evaluation step is added.

[0107] S106: Based on the sparse surface parameters, template surface and fitting compensation space, a fitting evaluation is performed to generate a fitting evaluation index.

[0108] Specifically, the evaluation indicators include:

[0109] Risk of a step at the base: Evaluate whether the transition between the inner surface of the nail root and the natural nail root is continuous and whether the edge is too thick. If the risk of a step at the base is high, reduce the thickness of the base and increase the smoothness of the transition.

[0110] Side compression risk: Assess whether the side curvature is too tight or the width is too large, causing compression. If the risk of side compression is high, increase side release and adjust the width or curvature setting.

[0111] Central void risk: Assess whether the central area gap is too large or the adhesive layer coverage is insufficient. If the central void risk is high, adjust the central compensation space and adhesive layer coverage area.

[0112] Risk of leading edge warping: Evaluate whether the leading edge support is insufficient or whether the longitudinal curvature is mismatched. If the risk of leading edge warping is high, strengthen the leading edge surface and adhesive layer arrangement.

[0113] Fit confidence level: A comprehensive indicator evaluating the reliability of parameter acquisition and template matching confidence. When the fit confidence level is low, it is recommended that users conduct additional measurements or select the standard model.

[0114] Example 3

[0115] This embodiment 3 adds a feedback update step based on embodiment 1 or embodiment 2.

[0116] S107: Update curvature setting selection, compensation space parameters, and edge parameters based on trial wear feedback or quality inspection feedback.

[0117] Specifically, if a user reports significant pressure on the side of a certain size armor plate, the system maps this feedback to the side release parameters and reduces the side curvature or increases the side gap in the next generation. If the feedback indicates a significant step at the root, the system reduces the root edge thickness and increases the root transition length.

[0118] Through the aforementioned feedback and update mechanism, the system forms a closed-loop optimization, which can continuously improve the fit and wearing comfort of the generated inner curved surface of the wearable armor.

[0119] Example 4

[0120] This embodiment 4 adds a target surface parameter domain output step based on embodiment 1, embodiment 2 or embodiment 3.

[0121] S108: Output target surface parameter domain.

[0122] Specifically, the target surface parameter domain is used for subsequent micro-relief design, prototype model generation, and UV layer mapping. The output data objects include:

[0123] Wearing the inner curved surface of the nail , used for subsequent modeling of embryos;

[0124] Fit and compensate space Or target adhesive layer gap diagram;

[0125] Adhesion partition diagram of root, side, center, leading edge, etc. ;

[0126] refer to Figure 6 As shown, edge structure parameters include root thinning, side thinning, and leading edge reinforcement. ;

[0127] Recommended coverage area, thickness grade, and release zone for film or adhesive. ;

[0128] Fit, comfort, risk of edge lifting, and risk of pressure rating ;

[0129] The target surface parameter domain of the armor plate can be used for subsequent micro-relief design and manufacturing data packages. ;

[0130] Parameter source, template number, curvature level, compensation strategy, and feedback version history .

[0131] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space, characterized in that, Includes the following steps: Obtain the sparse nail surface parameters of the user's natural nails; Based on the sparse surface parameters, parameter normalization and coordinate definition are performed to establish a normalized parameter domain; Based on the normalized sparse A-surface parameters, an initial template surface is selected from the A-type curvature level library and parametrically adjusted to generate a user-adapted parametric inner surface. A fit compensation space is generated based on one or more of the following: adhesive layer type, wearing preference, fit zone strategy, and historical trial / quality inspection feedback. The inner fitting surface of the wearable armor is generated based on the parameterized inner surface and the fitting compensation space. The inner surface of the wearable armor is subjected to edge constraint treatment, including thinning at the root, releasing at the side, rounding at the corners, and reinforcing at the leading edge. Output the parameter domain of the target surface; The sparse nail surface parameters include: the length of the natural nail. Root width Middle width Leading edge width Horizontal arch height Longitudinal bending Root arc type and side shape parameters .

2. The method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space according to claim 1, characterized in that, The sparse nail surface parameters are obtained through one or more of the following methods: manual input, image recognition, size card, curvature ruler, low-cost scanning, standard nail shape fitting feedback, or historical order data.

3. The method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space according to claim 1, characterized in that, After generating the inner fitting surface of the wearable armor based on the parameterized inner surface and the fitting compensation space, the method further includes: Fitting evaluation is performed based on the sparse nail surface parameters, template surface, and fitting compensation space, and fitting evaluation indicators are generated. The fitting evaluation indicators include root step risk, side compression risk, central hollow risk, leading edge warping risk, and fitting confidence. Based on the fitting evaluation indicators, a risk map, correction suggestions, or template reselection suggestions are generated; when the fitting confidence level is lower than the threshold, a prompt is made to supplement the measurement, reselect the curvature level, or enter the standard model recommendation.

4. The method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space according to claim 1, characterized in that, The step of selecting an initial template surface from the A-type curvature level library based on the normalized sparse A-type surface parameters specifically includes: Based on the length, width, root arc type, and lateral arch height of the natural nail, a matching template surface is retrieved from the nail curvature level library; the nail curvature level library contains multiple nail inner surface templates categorized by width, length, arch height, root arc, lateral curvature, longitudinal curvature, user group, or brand.

5. The method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space according to claim 1, characterized in that, The parameterized inner surface is generated in the following manner: In the normalized parameter domain The inner curved surface of the plate is defined above, where Indicates horizontal position. Indicates the longitudinal position from the root to the leading edge. , The value of can be in the range of [0,1]; From the root width Middle width and leading edge width The width function is obtained by spline or polynomial fitting. ; From the lateral arch height parameter The function that determines the lateral arch height based on the curvature setting. ; From longitudinal bending parameters Determine the longitudinal bending function ; A parameterized inner reference surface is generated based on the width function, the transverse arch height function, and the longitudinal bending function. ; The parameterized inner reference surface Represented as: in, For width function, This is a function of the lateral arch height. For longitudinal bending function, It is a horizontal arch function; The final inner surface is generated based on the parametric inner reference surface, combined with boundary curves, root thin edges, side release, rounded transitions, leading edge reinforcement, and fitting compensation terms.

6. The method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space according to claim 1, characterized in that, The fitting compensation space Used to describe the gap reserved between the natural nail reference surface and the inner surface of the worn nail; The fitting compensation space consists of the base adhesive layer thickness, area correction item, user preference correction item, and feedback correction item; The bonding compensation space can be adjusted according to the type of adhesive film, liquid adhesive, double-sided adhesive, peelable adhesive or other adhesive layers.

7. The method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space according to claim 5, characterized in that, The fitting compensation space Different compensation strategies are adopted for different regions: The root area uses small gaps, thin edges, and smooth transitions to reduce root steps and visual illusion; The side areas feature side release, rounded corners, and moderate gaps to reduce snagging, hair snags, and pressure. The central area employs stable support and continuous adhesive layer coverage to reduce air pockets and improve adhesion stability; The leading edge region incorporates strength compensation and anti-warping design to improve durability and leading edge stability; The compensation strategy synchronously generates a fitting partition map. And the edge structure parameter EdgeProfile.

8. The method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space according to claim 1, characterized in that, The step of generating the inner fitting surface of the wearable armor based on the parameterized inner surface and the fitting compensation space specifically includes: Parametric inner reference surface Fit and compensation space Combined, the final inner surface of the wearable armor is generated. : ； in, The direction of the surface normal vector. This refers to the local normal direction or preset compensation direction of the parameterized inner reference surface.

9. The method for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space according to claim 1, characterized in that, After generating the inner fitting surface of the wearable armor, the process further includes: Update the curvature setting selection, compensation space parameters, and edge parameters based on trial wear feedback or quality inspection feedback; Output target surface parameter domain The target surface parameter domain is used for subsequent micro-relief design, prototype model generation, and UV layer mapping. The output data objects include: the inner surface of the wearer's armor. Fitting and compensating space Fitting the partition map Edge structure parameters Adhesive layer compatibility diagram And fit rating ; Risk map, parameter source, template number, curvature level, compensation strategy, and feedback version history.

10. A system for generating the inner curved surface of a wearable nail based on sparse nail surface parameters and fitting compensation space, characterized in that, Specifically, it includes: Sparse parameter acquisition module: used to acquire sparse nail surface parameters of the user's natural nails; Parameter normalization module: used to normalize parameters and define coordinates based on the sparse surface parameters, and establish a normalized parameter domain; Curvature Gear Library Module: Used to store and retrieve Type A curvature gear templates; Inner surface generation module: used to select an initial template surface from the A-type curvature level library based on the normalized sparse A-type surface parameters and perform parametric adjustments to generate a user-adapted parametric inner surface; Fit Compensation Space Module: Used to generate fit compensation space based on adhesive layer type and wearing preference; Data export module: used to generate the inner fitting surface of the wearable armor based on the parameterized inner surface and the fitting compensation space, and output the target surface parameter domain.

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