37 results about "Fitting methods" patented technology

The invention provides a virtual fitting method based on a color three-dimensional model, and the method comprises the steps: obtaining the body point cloud data of a user through a three-dimensional scanning device, constructing a color three-dimensional human body model, and setting skeleton binding parameters; dividing a pressure sensitive area based on model surface curvature distribution, and generating a dynamic pressure map; performing cloth physical simulation on the model in a physical engine, and extracting deformation response data of the top points of the clothing grids; real-time motion posture data of a user is collected through an inertial sensor, motion distortion correction is conducted, and a joint motion track is generated. Dynamically comparing the joint movement track with the deformation response data to generate a clothing fitting degree deviation report; and optimizing the clothing pattern parameters and the fabric physical attributes based on the deviation report, and outputting a clothing adaptation proposal. According to the invention, the suitability and comfort of clothes can be improved, and the production efficiency and the product quality are improved.

The invention discloses a fitting method for fitting a wearable article model and a human body model. The fitting method comprises the following steps: acquiring three-dimensional data of a user; generating a three-dimensional human body model; generating a wearing article model; fitting the human body model with the wearing article model, executing initial space matching in static fitting to enable the virtual wearing article to be worn on the three-dimensional human body model of the user and keep a preset region distance, and loading cloth physical parameters and environmental force field parameters in physical driving fitting; and trying on the virtual wearing article, displaying the virtual wearing article, the three-dimensional human body model of the user and the trying-on effect by the platform, selecting the virtual wearing article in the platform by the user, and wearing the virtual wearing article on the selected three-dimensional human body model of the user to complete trying-on. The time for the user to purchase the wearing articles is shortened, the suitability of the user to select the wearing articles is improved, and then the refund and change rate and the return rate of the platform are reduced.

The invention discloses a lightweight diffusion virtual fitting algorithm for a high-resolution clothing human body image. The algorithm specifically comprises the following steps: step 1, acquiring a disclosed high-resolution virtual fitting data set; 2, preprocessing the clothing image and the reference figure image in the high-resolution virtual fitting data set obtained in the step 1 to obtain a figure image irrelevant to clothing; 3, constructing a lightweight diffusion virtual fitting model aiming at the high-resolution clothing human body image, and designing a required loss function; and step 4, training the lightweight diffusion virtual fitting model for the high-resolution clothing human body image by using the high-resolution clothing human body data set in the step 1. According to the method, the problems of detail loss and visual artifacts in a high-resolution scene in a virtual fitting method based on the generative adversarial network are solved, and the defects that a traditional diffusion model is huge in volume, high in computing resource demand and difficult to retain local features are overcome.

This invention discloses a method for fitting the geometric center of a centrally symmetric image, comprising: S1, constructing a pixel coordinate system based on the original image and obtaining the pixel coordinates of the edges of the centrally symmetric image on the original image; S2, selecting the two edge pixels with the largest distance from all edge pixels, and taking the midpoint between the two edge pixels with the largest distance as a temporary center point; S3, constructing a virtual pixel matrix in the area surrounding the temporary center point, and selecting the virtual pixel with the smallest sum of distances to all edge pixels as a new temporary center point; S4, repeating step S3 until the fitting accuracy of the temporary center point meets the design requirements. This invention directly fits the geometric center of a graphic based on the geometric characteristics of a centrally symmetric image. The calculation process is simple and direct, and it is widely applicable to the geometric center fitting of all centrally symmetric images. At the same time, the multi-step fitting and multiple iteration methods fully ensure the fitting accuracy.

The invention provides a clothing model automatic migration and virtual fitting method, which comprises the following steps: when a virtual fitting platform receives a target clothing fitting request, firstly extracting request features, obtaining target human body model parameters, then collecting three-dimensional topological data of a human body model, and constructing adaptive clothing model parameters according to the three-dimensional topological data; and a parameter adjusting module is integrated on the virtual fitting interface. And the adaptive clothing model parameter is updated according to the material parameter of the adjusting module, after the target clothing model is obtained, migration adaptive deformation processing is performed according to the updated parameter, and the virtual fitting effect is rendered if the adaptation is successful. The reality sense of virtual fitting and the user experience can be improved, the fitting efficiency is improved, and the operation cost of a clothing enterprise is reduced.

This invention provides a method and system for fitting device model parameters, relating to the field of semiconductor device modeling and parameter optimization technology. The method includes: acquiring initial information of a target device model, the initial information including parameters to be fitted; inputting the initial information into the target model to obtain fitting guidance parameters for the parameters to be fitted, the fitting guidance parameters being relevant parameters corresponding to each fitting stage, and the target model being a pre-trained large language model; after the fitting guidance parameters pass verification, fitting the parameters to be fitted at each fitting stage according to the fitting guidance parameters, obtaining the initial fitting result for each fitting stage; dynamically correcting the fitting guidance parameters according to the initial fitting result for each fitting stage to obtain corrected fitting guidance parameters; and fitting the parameters to be fitted at each fitting stage according to the corrected fitting guidance parameters to obtain the target fitting parameters for the parameters to be fitted.

The invention provides a self-aligning roller bearing, a fitting device and a fitting method, and relates to the field of bearing machining. The self-aligning roller bearing comprises an inner ring, an outer ring and a retainer, the inner ring is arranged on the inner side of the outer ring, a center ring is arranged in the middle of the retainer, mounting grooves which are alternately distributed are formed in the two sides of the retainer, and the mounting grooves are arranged in the mounting grooves. Positioning holes are formed in the middles of the sides, close to each other, of the mounting grooves in the two sides, a mounting position is arranged on the side edge of the inner ring, and a positioning groove is formed in the inner ring; comprising a machine frame and a limiting frame arranged at the top of the machine frame, a material disc is rotationally connected into a shell, a plurality of material holes are formed in the edge of the material disc, and a distance measuring sensor right faces a positioning hole in a mounting groove in one side of a feeding gun head. Through cooperation of the bearing and the fitting equipment, high efficiency and high quality of bearing fitting are realized.

The present invention relates to a fitting system to be used to connect floor modules, such as the fitting method and disengaging method. The system comprises two elements, a female element and a male element, connected to floor modules and interconnecting to each other. The female element comprises a body of the female, at least one ramp and at least one tongue, resting on the plate of the female. The male element comprises a body of the male and a fitting element comprising a plate of the male, sidewalls, a rim, at least one groove delimited by groove walls, and at least one slider. The system features double locking, which prevents the elements from making movements in any vertical or horizontal direction.

The invention relates to an eccentric value fitting coefficient testing method, an eccentric value fitting method and a washing machine, and the method comprises the steps: firstly determining M load weights and N eccentric weights of the washing machine, obtaining N eccentric values corresponding to the N eccentric weights for the ith load weight, and then obtaining N eccentric values corresponding to the N eccentric weights for the ith load weight; the method comprises the steps of determining a fitting coefficient corresponding to the ith load weight based on N eccentric values and N set eccentric values, then determining a load value corresponding to the ith load weight for the ith load weight, and finally determining a target linear equation based on M fitting coefficients and M load values, the target linear equation being a mapping relation between the fitting coefficients and the load values. According to the eccentric value fitting coefficient testing method, the mapping relation between the fitting coefficient and the load value can be obtained, different eccentric values under the same eccentric weight can be fitted to the same eccentric value based on the mapping relation, unification of the eccentric values is achieved, and fitting is more accurate.

The invention discloses a hub bushing press-fitting tool and a press-fitting method. The hub bushing press-fitting tool comprises a base, a press-fitting table, a pressing plate and a plurality of press-fitting units. The press-fitting table is fixed to the upper portion of the base, the pressing plate is located above the press-fitting table and can be close to or away from the press-fitting table, and the press-fitting units are fixedly connected with the pressing plate. The press-fitting unit comprises press-fitting pins fixedly connected with the pressing plate and positioning pins movably connected with the press-fitting pins, the outer wall of each positioning pin is sleeved with a lining and a limiting sleeve, gaps exist between the inner walls of the linings and the outer walls of the positioning pins, the linings are located on the lower portions of the press-fitting pins, and the lower portions of the linings abut against the upper portions of the limiting sleeves. The inner wall of the limiting sleeve and the outer wall of the positioning pin are attracted and fixed; the pressing plate can drive the press-fitting unit to move downwards so that the lining can move downwards and be embedded into the press-fitting hole to be fixed. Through the multiple press-fitting units, the hub and the multiple bushes can be subjected to press-fitting forming at a time, the efficiency is high, the bushes are arranged on the positioning pins in a sleeving mode during press-fitting, the bushes and the press-fitting units descend synchronously, and the press-fitting effect is improved.

The invention discloses a garment fitting method and system based on a human body three-dimensional model, and belongs to the technical field of virtual fitting. The method comprises the following steps: receiving and analyzing abstract wearing intention description input by a user; generating a target multi-clothing combination scheme; constructing a clothing combination template library to form a core template set; generating a processing scheme suitable for the current combination; sequentially processing matching between each piece of clothes and the human body three-dimensional model; establishing a personal preference file; carrying out personalized fine adjustment on a processing scheme generated by template matching; carrying out scenario optimization on the processing scheme after personalized fine adjustment; and generating a multi-garment try-on effect based on the processing scheme after scenario optimization. According to the method, the clothing combination template library is constructed, the processing scheme is generated by adopting a three-level matching mechanism, clothing matching and collision detection are sequentially carried out according to the stacking sequence, and the problem of matching distortion caused by the fact that multiple clothing stacking sequences cannot be processed in the prior art is solved.

The application discloses a fitting device and a fitting method. The fitting device comprises a deformable profiling member. The profiling member comprises a first surface and a second surface arranged oppositely. The first surface is used for conforming to the cover plate, and the second surface is used for conforming to the screen body. The profiling member has a containing cavity. The containing cavity is used for carrying a liquid colloid. The profiling member can be removed when the colloid is solidified. The above scheme solves the problems that gas is easily generated and difficult to be discharged, the fitting degree between the curved cover plate and the screen body is poor, and glue overflow is easily generated in the prior art fitting process. The fitting degree of the cover plate and the screen body is increased, the probability of glue overflow of the display panel is reduced, and the product quality is improved.

The invention provides a fashion adaptation method and device for a virtual character, equipment, a medium and a program product, and relates to the technical field of games, the method comprises the following steps: obtaining a constraint relationship between a main body skeleton and a fashion skeleton of the virtual character; and when the main body skeleton moves, driving the fashion skeleton to move correspondingly by the motion parameters of the main body skeleton based on the constraint relationship. Dynamic driving is achieved by establishing the constraint relation between the main body skeleton and the fashionable dress skeleton, the problem of motion distortion caused by a traditional skin mode is solved, and the fashionable dress action expression trueness is improved.

The invention discloses a fitting method for stress-strain response of a high-elongation steel cord and application of the fitting method. The fitting method comprises the steps that stress-strain data points are obtained; the number N of turning points is determined based on a local curvature mutation detection method, the fitting curve is divided into N + 1 fitting line segments, a starting point is an original point when the first fitting line segment is drawn, and the starting point is located in data points with curvature mutation when other fitting line segments are drawn; the optimal slope of each fitting line segment, which maximizes the value, can be calculated by performing derivation on a formula for determining the coefficient about the slope, and a ray is drawn according to the calculated optimal slope of each fitting line segment, so that the fitting line segment of the stress-strain response of the high-elongation steel cord is obtained. According to the method, the number of turning points is determined based on a curvature mutation detection mode by utilizing the switching characteristics of a multi-segment linear function and a max function, the optimal slope is calculated through a formula, local high-precision fitting of each segment and corresponding experimental data is ensured, and the overall goodness of fit is greatly improved.

The utility model discloses a clamping type PCD cutter, and relates to the field of PCD cutters, the clamping type PCD cutter comprises a cutter head and a cutter bar, the cutter head and the cutter bar are axially staggered and attached, the attaching part of the cutter bar is rotatably provided with a clamping handle, the attaching part of the cutter head is provided with a clamping groove, the surface of the cutter bar is provided with a thread sleeve in a threaded mode, the thread sleeve wraps the staggered part of the cutter head and the cutter bar, and the thread sleeve extrudes the clamping handle to be clamped into the clamping groove. The tool bit and the tool bar are aligned in an axial staggered attaching mode, the tool bit and the tool bar are connected into a whole in a clamping mode in cooperation with wrapping of the threaded sleeve and clamping connection of the clamping handle and the clamping groove, the blade is convenient and fast to disassemble when replaced, and only the tool bit and the blade need to be replaced. The cutter bar serving as an installation foundation of the cutter can be repeatedly used, and resource waste is reduced.

The invention relates to the technical field of virtual fitting, in particular to an intelligent virtual fitting method based on three-dimensional human body modeling. The method comprises the following steps: accurately capturing various sizes and postures of a human body by collecting multi-angle image data of the human body and constructing a three-dimensional model of a human body structure, and providing accurate basic data for virtual fitting; fitting clothes are obtained, physical parameters of the clothes are collected, and therefore the appearance effect of the clothes is analyzed; performing posture simulation by using the human body three-dimensional model, and performing interactive dynamic response analysis of the human body and the clothes by combining physical characteristics of the clothes to obtain dynamic effect data of the clothes under different postures; the virtual fitting effect is further optimized by calculating the matching degree of the clothes and the human body; according to the method, intelligent virtual fitting is optimized, so that the virtual fitting matching degree is more perfect.

The invention discloses a tank sleeving device which comprises a frame, a bearing assembly, a jacking bearing assembly, a first supporting assembly and a second supporting assembly, the first supporting assembly and the second supporting assembly are movably arranged on the frame, the first supporting assembly is provided with a first supporting piece, and the second supporting assembly is provided with a second supporting piece, a first driving device and a second driving device. The first driving device is used for driving the first supporting piece to move in the X direction, and the second driving device is used for driving the second supporting piece to move in the Y direction. According to the sleeving device, the portal frame does not need to be wholly moved, the sleeving device is suitable for tank bodies of different models, the first supporting assembly and the second supporting assembly are matched to reduce the central axis deviation before sleeving of the outer cylinder and the inner cylinder, and the jacking bearing assembly, the bearing assembly and the first supporting assembly are matched and jointly cooperate to obviously improve the coaxiality during sleeving of the outer cylinder and the inner cylinder; the operation flexibility is high. The other purpose of the invention is to provide a sleeving method, the coaxiality of the outer cylinder and the inner cylinder is ensured, the deviation of the central axis of the outer cylinder and the central axis of the inner cylinder is reduced, and the sleeving efficiency is improved.

The application discloses a fitting method and a fitting device, and solves the problem of how to fit the conical surface area of a display panel and a cover plate in the prior art. The fitting device comprises a bearing structure, a pressing structure and a first driving structure. The bearing structure comprises a bearing surface and a rotating shaft, and the bearing surface is located at one end of the rotating shaft. The pressing structure comprises a pressing line. The first driving structure is connected with the bearing structure and / or the pressing structure. The fitting device comprises a first state and a second state. In the first state, the bearing surface forms a predetermined included angle with a horizontal plane, so that any element line of the curved surface fitting surface of the cover plate borne by the bearing surface is located on the horizontal plane; the pressing line is located on the horizontal plane, and the pressing force direction of the pressing structure is vertically downward. In the second state, the first driving structure drives one of the bearing structure and the pressing structure to rotate relative to the other.

The application is suitable for the field of intelligent devices, and provides a fitting method, a fitting device, a terminal device, a storage medium and a fitting system. The fitting method comprises the following steps: collecting point cloud data and user images of a user, and establishing an initial three-dimensional model of the user based on the point cloud data and the user images; obtaining clothing data of clothes to be changed currently worn by the user; correcting the initial three-dimensional model by using the clothing data to obtain a target three-dimensional model of the user; and fusing a clothing model of clothes to be tried on and the target three-dimensional model, and displaying the fused fitting model. The embodiment of the application can make the fitting effect more close to the actual situation.

The application provides a display device, a virtual fitting system and a method. The method can collect user image data in real time in use, and send the user image data to a server to generate a human body model. Clothing material is added to the human body model to synthesize and render a model, and the action of a person is extracted in real time, so that the model posture of the rendered model is adjusted according to the action parameters, and a fitting picture is formed. The method can realize a dynamic 3D virtual fitting function, and can display the action of the user in real time through the rendered model, so that the clothes follow the action of the user, and the use effect of dressing recommendation is achieved, and the problem that the traditional virtual fitting method cannot display the fitting effect in real time is solved.

The invention relates to a virtual try-on system and method based on deep reinforcement learning, and the system comprises a body type recognition and reconstruction module, a material simulation module, an adaptive optimizer, and a rendering output module. The material simulation module is used for carrying out micro-approximate simulation on virtual fitting garment fabric, the self-adaptive optimizer is used for automatically adjusting an optimization strategy according to different user characteristics, and the rendering output module is used for rendering and generating a fitting garment result. According to the design, the problem that the fitting matching degree is low due to the fact that the personalized adaptation capacity is poor and self-adaptive optimization cannot be carried out according to the body shape features and preferences of different users is effectively solved.

The invention relates to a dual-variable fitting method for a standard involute template contour, and belongs to the technical field of gear parameter measurement. According to the method, the characteristic that the contour of a standard involute sample plate is similar to the shape of a parabola is utilized, a waveform segment is divided into an optimized segment alpha and an optimized segment beta in a rectangular coordinate system xoy, waveform fitting is carried out on the segment alpha in a parabola x = g (y) mode, and a fitting residual error effective value rho alpha and fitting parameters are obtained; performing waveform fitting on the beta section in a parabola y = f (x) mode to obtain a fitting residual error effective value rho beta and a fitting parameter; and double-variable method fitting is completed. The method does not need to directly measure the radius of the base circle, does not need to measure the expansion angle of the expansion line of the involute, can be suitable for parameter measurement and evaluation of any involute in the interval section of theta belonging to [0, pi], and has universality.

The invention relates to the technical field of alignment and lamination, in particular to an alignment and lamination method and an alignment and lamination system. The alignment fitting method comprises the steps that after a fitting system fits a base body part and a fitting part every time, the alignment deviation of the base body part and the fitting part can be detected, and under the condition that the alignment deviation is large, pose compensation data generated when the base body part and the fitting part are fitted can be adjusted, so that the adjusting efficiency of the pose compensation data is improved, and the fitting precision is improved. And the laminating yield of the base body piece and the laminating piece is improved.

The present application relates to the technical field of virtual fitting, and more particularly to an intelligent virtual fitting method based on three-dimensional human modeling. The method comprises the following steps: collecting multi-angle image data of a human body and constructing a three-dimensional model of the human body structure to accurately capture various dimensions and postures of the human body, thereby providing accurate basic data for virtual fitting; obtaining a garment and collecting garment physical parameters to analyze the appearance effect of the garment; using the three-dimensional model of the human body to simulate postures and combining the physical characteristics of the garment to analyze the interactive dynamic response of the human body and the garment, thereby obtaining dynamic effect data of the garment under different postures; and further optimizing the virtual fitting effect by calculating the matching degree of the garment and the human body; the present application optimizes intelligent virtual fitting to achieve more perfect virtual fitting matching degree.

The invention discloses a key glass laminating tool, a laminating machine and a laminating method.The key glass laminating tool comprises a body, the upper surface of the body is provided with a plurality of containing concave parts, the upper surface of the body is used for containing key glass, the containing concave parts are used for embedding key protrusions, the body is provided with exhaust channels, the exhaust channels communicate with the containing concave parts, and the containing concave parts are used for containing the key glass. And the exhaust channel is used for exhausting air in the accommodating concave part to the outside. According to the key glass fitting tool disclosed by the invention, the key bulge of the key glass can be nested, so that the key bulge cannot be directly acted by pressure during fitting and pressing, more pressure is acted on a non-key bulge part of a key area, the probability that the key bulge is damaged due to stress is reduced, and the service life of the key glass is prolonged. And bubbles can be more effectively discharged from the non-key bulge part of the key area, so that the problem of bubbles in the key area and the edge is effectively solved, the appearance problem of a product after fitting and assembling is avoided, and the quality of the produced key touch panel product is better.

This application provides a constraint-based three-dimensional line fitting method, comprising determining point cloud data to be fitted; determining a spatial fitting line and its parameters using a preset fitting method, wherein the preset fitting method includes fitting with outliers and least squares fitting; projecting the spatial fitting line onto a preset plane to obtain a plane fitting line and its parameters, wherein a second offset and a second RMS in the plane fitting line parameters are determined by the parameters of the spatial fitting line. This application overcomes the interference of outliers on line fitting through the preset fitting method, improves the accuracy of line fitting, and reduces the complexity of point cloud projection operations.

The application provides a virtual fitting method, related device and communication system. A mobile terminal can send 3D image data, 3D digital clothing data and action data of a user to a server in response to the user selecting clothing and a fitting action to perform virtual fitting. The server can calculate clothing deformation information after the human body and the clothing collide under the corresponding fitting action through physical simulation technology to obtain simulation data of the clothing. The mobile terminal can render the fitting effect of the user's 3D image wearing the clothing to perform the fitting action according to the simulation data sent by the server. The above fitting effect can realistically present the style, fabric and other clothing information of the clothing, and the deformation information of details such as wrinkles caused by the collision between the 3D image and the digital clothing. This can help the user to understand the fitting effect of the clothing before placing an order to purchase in an online clothing market, reduce the situation of buying unsuitable clothing online, and reduce the return rate of clothing e-commerce.

The embodiment of the application relates to the image processing technical field, discloses a kind of training fitting model method, virtual fitting method and related device, fitting network image generation network, clothes deformation network and fusion module, using several image groups corresponding model contour image, clothes image is trained to fitting network, and fitting model is obtained.Therein, the model contour image obtained by combining body posture text information and body torso map can reflect the model body shape contour and body posture features, so that the model contour image is input into the clothes deformation network to guide the clothes deformation, so that the clothes deformation conforms to the human body contour features and body posture features.Several image groups are trained to the fitting network in the above manner, and the loss and back propagation is based on, and the fitting network is constrained to converge.Therefore, the fitting model obtained by training can make the clothes more fit the human body contour, conform to the human body posture, and the fitting effect is more real and accurate.

The invention provides a virtual fitting method, a related device and a communication system. The mobile terminal can respond to clothes selection and fitting actions of a user to perform virtual fitting operation, and 3D image data, 3D digital clothes data and action data of the user are sent to the server. The server can solve the clothes deformation information after the human body collides with the clothes under the corresponding fitting action through the physical simulation technology, and the simulation data of the clothes are obtained. The mobile terminal can render the fitting effect that the 3D image of the user wears the clothes to perform the fitting action according to the simulation data sent by the server. The fitting effect can vividly present clothing information such as the style and the cloth of the clothing, and deformation information of details such as wrinkles generated by collision of the 3D image and the digital clothing. Therefore, the user can be helped to know the upper body effect of the clothing before ordering and purchasing on the online clothing market, the situation that improper clothing is bought on line is reduced, and the return rate of clothing e-commerce is reduced.

The invention relates to a virtual fitting method based on large model semantic recognition and double-model cascading, and the method comprises the steps: carrying out the semantic understanding of an input model drawing and a clothes drawing through introducing a large model, automatically recognizing the current clothes type and the target clothes type of a model, and dynamically selecting an optimal clothes changing strategy based on a recognition result. Cooperative work of the IDM-VTON model and the CAT-VTON model is realized, a set of semantic recognition-policy routing-cascade execution-post-processing enhancement full-process optimization method is realized, and complementary advantages of the two types of models are fully exerted; meanwhile, an intelligent strategy routing system based on large model semantic understanding is constructed, automatic decision making and dynamic scheduling of the reloading process are achieved, and the adaptability and robustness of the system are remarkably improved; in addition, a traditional computer vision module is introduced to carry out post-processing enhancement on a generation result, so that on the premise that a trunk generation model is not changed, posture offset and face and hand distortion are effectively inhibited, and the sense of reality and consistency of output images are guaranteed.