32results about How to "Guaranteed modeling accuracy" patented technology

The invention discloses a method for fast constructing a high-accuracy personalized face model on the basis of facial images, which belongs to the cross field of computer vision and computer graphics, and aims at achieving the purposes of fast reconstructing a personalized 3D geometrical facial model and a high-accuracy 2D facial texture mapping on the basis of real facial images. The method comprises the following steps: firstly, shooting five facial images from multiple angles; secondly, marking positions and corresponding relationships of forty-one characteristic points on the facial images and a neutral facial model; thirdly, aligning the projection of the neutral facial model on a virtual camera focal plane with the facial images; fourthly, carrying out hierarchical geometrical deformation on the neutral facial model to obtain the personalized geometrical facial model; and finally, synthesizing the high-accuracy facial texture mapping according to the five facial images. The face modeling method has the advantages of convenience for data acquisition, high modeling speed and modeling accuracy, and the like, and achieves higher practical values in the fields of video communication, electronic games, man-machine interaction, and the like.

The invention discloses a three-dimensional modeling method of an object based on a depth sensor, comprising the following steps: S1, a data acquisition step of reading data from the depth sensor to obtain three-dimensional point cloud data; S2, a preprocessing step of separating the point cloud of the object from the whole scene, removing abnormal points, extracting the boundary of the point cloud of the object, and obtaining the point cloud of the object under each visual angle; S3, a point cloud registration step of registering an object point cloud under an adjacent perspective to obtain aconversion matrix between the object point clouds under the adjacent perspective; S4, a global alignment step of fusing the point clouds under each visual angle into the global point clouds by usinga conversion matrix to obtain a three-dimensional point cloud model; S5, meshing and texture mapping step, converting the three-dimensional point cloud model into a mesh model, and then mapping the color information to the surface of the mesh model to obtain a three-dimensional texture model. On the basis of guaranteeing the modeling accuracy, the method improves the modeling speed, and has high use and popularization value.

The invention discloses a three-dimensional face modeling method and a three-dimensional face modeling system assisted by face geometric information. According to the invention, based on a binocular stereoscopic vision principle of active projection, marking the surface of the target face by using phase information contained in a multi-frame stripe structured light place; acquiring a modeling image by using a camera, acquiring relative phase information contained in a stripe structured light place based on a spatial phase unwrapping technology, unifying the relative phase information of a binocular camera to the same reference by taking a human face feature point as an anchor point, performing phase matching to obtain a disparity map, and further reconstructing a three-dimensional human face model. According to the method, the position information of the human face feature points contained in the human face fringe pattern is fully utilized, phase unwrapping can be carried out without adding an additional structure light field, the number of projection and shooting structure light fields needed for completing three-dimensional modeling is effectively reduced, the modeling image collection time is shortened, and the modeling precision is effectively guaranteed.

The invention discloses a modeling method for a noise-uncertainty complicated nonlinear dynamic system. The method includes the steps: 1), collecting data during industrial process to acquire data (XMN, Y); and 2), calculating noise statistical value of known input data and output data by means of Gamma Test to acquire precise information of system noise. The modeling method for the noise-uncertain complicated nonlinear dynamic system has the advantages that the best ideal point for increasing production and saving energy is searched, and optimal value of technological parameters is determined; and practical production guide is performed according to the optimized optimal value of the technological parameters.

The embodiment of the invention provides a three-dimensional geographic scene model construction method and device based on a stereoscopic remote sensing image. The method comprises the following steps: carrying out image preprocessing on an original satellite remote sensing image, and acquiring a digital elevation model image and a digital orthoimage; conducting slicing according to a preset image slicing rule to obtain a digital elevation model image tile and a digital orthoimage tile; establishing a three-dimensional terrain model by using a triangulated irregular network construction technology, and mapping landform texture to the three-dimensional terrain model based on a texture coordinate mapping technology to obtain a partitioned three-dimensional geographic scene model; and finally, storing the partitioned three-dimensional geographic scene model according to tile row and column numbers to obtain a three-dimensional geographic scene model corresponding to the original three-dimensional satellite remote sensing image. Compared with a traditional modeling method, the technical scheme of the invention has the advantages of large modeling scale, high efficiency and high automation degree, and greatly improves the model construction efficiency and the like while ensuring modeling precision and the sense of reality.

The invention belongs to the technical field of micro-positioning platforms. The invention discloses a micro-positioning platform based on piezoelectric ceramic driving and a modeling and control method thereof. The micro-positioning platform comprises a hardware part and a software part, the software part comprises Simulink software loaded in an industrial personal computer, and communication connection between the industrial personal computer and a data collection card is realized based on the software part to form closed-loop deviation control; the modeling method adopts a Hammerstein modelas a modeling basis, and comprises a static nonlinear part and a linear dynamic part: constructing a static nonlinear function based on a Boc-Wen model, and identifying unknown parameters of the model by adopting a particle swarm algorithm; a linear dynamic model is constructed, the model is equivalent to a linear second-order time-invariant system, and a Matlab recognition toolbox is adopted inthe model to obtain parameters; according to the control method, a composite control mode of feedforward control and feedback control is adopted; in conclusion, the high-precision positioning device has a high-precision positioning effect.

The invention provides an earthlight light pressure perturbation modeling method for a navigational satellite complicated model. The method particularly includes the first step of obtaining related parameters of all surface components on a satellite to be analyzed in a satellite body coordinate system, the second step of calculating the optical radiation intensity of earthlight when the included angle between a sun vector and the positive Z-axis in the satellite body coordinate system is theta EPS, the third step of establishing light path tracking of the earthlight according to the related parameters and the optical radiation intensity of the earthlight and calculating the light pressure perturbation accelerated speed a of the earthlight, the fourth step of allowing the included angle theta EPS to be different values and calculating the light pressure perturbation accelerated speed a corresponding to each included angle theta EPS, and the fifth step of establishing an earthlight light pressure perturbation model f (theta EPS) on the basis of the light pressure perturbation accelerated speed corresponding to each included angle theta EPS with the included angle theta EPS as an independent variable. Trough the method, a high-precision satellite dynamical model can be improved, and the accuracy of precise orbit determination and orbit prediction can be further improved.

A multicolor printing system splitting modeling method for maximizing a color gamut comprises steps of manufacturing and printing single color step-wedges of all primary colors, determining the ultralimit threshold value of each single color ink quantity, measuring the spectrum value of each single-color step-wedge subjected to equal ratio compression and establishing a corresponding relation; splitting an original multicolor printing system into printing system submodels; performing ink color space overall sampling to obtain the sampling samples under the sprinting system submodels, and obtaining the prediction spectrum reflectivity information values by simulation; targeting at all submodels, using a convex hull algorithm to calculate to obtain the ink color space overall sampling color gamut volumes; combining K submodels and using the convex hull algorithm to obtain the color gamut volume of each combination, and locking the combination corresponding to the maximum color gamut coverage rate when the maximum color gamut coverage rate is larger than the preset threshold value, thus realizing the splitting modeling of the original printing system. The method has the technical advantages of obviously reducing the splitting modeling complexity of the system, avoiding the ink quantity ultralimit problem, improving the stability of output colors and the like.

The invention discloses a human-computer interaction virtual-real fusion method and device based on a mixed reality head-mounted display. The method comprises the following steps: acquiring an internal parameter matrix M < internal > and an external parameter matrix M < external > of a camera; and according to the internal parameter matrix and the external parameter matrix, obtaining tracking coordinate system related information {Pori, Roi} of the MR equipment and a pose relationship between the entity camera and a tracking origin, obtaining an external parameter M'of the camera, and according to the internal parameter and the external parameter of the camera, obtaining a fused image. The method solves the problem that in the prior art, in order to achieve interactivity under the two conditions, a virtual human model of which the clothes, the skin color, the skeleton length and the like are similar to those of a testee is generally constructed in a virtual scene by means of a modeling technology, and the virtual human model and the testee move synchronously by means of data driving. Due to the fact that an existing modeling technology cannot well guarantee the modeling precision, a virtual human model has a certain difference with a tester in the aspects of skin color, clothing, skeleton length and the like, and the authenticity of the interaction effect is reduced.

The invention discloses a modeling method for a multi-cell LPV system of an elastic hypersonic aircraft. The method comprises the following steps: establishing an elastic hypersonic aircraft nonlinearlongitudinal model, obtaining corresponding aerodynamic parameters, analyzing the relationship between the elastic deformation of an aircraft and a rigid body of the aircraft, and establishing a mathematical model; establishing a three-input three-output multi-cell LPV system model and a two-input two-output multi-cell LPV system model for the nonlinear longitudinal model of the hypersonic aircraft based on Jacobian linearization and tensor product transformation; to be specific, selecting a scheduling variable, and performing Jacobian linearization at a balance point to obtain a continuous LPV model; discretizing the continuous LPV model and storing the discretized continuous LPV model in a tensor; performing high-order singular value decomposition on the tensor to extract a core LTI vertex system; and constructing a continuous weight function of a core LTI vertex system. According to the method, the multi-cell LPV model capable of reflecting the elasticity of the hypersonic flight vehicle is established, the characteristics of the large flight envelope of the hypersonic flight vehicle are covered, the modeling calculation amount is reduced, and meanwhile the modeling precision is kept.

An eddy current testing method of the irregular wear-out defect of a thimble tube by introducing multimedia units comprises steps as follows: firstly, a degenerate magnetic vector potential method discrete control equation is obtained; secondly, the multimedia units containing a substrate and the defect simultaneously is introduced into a unit attribute of the irregular wear-out defect of the thimble tube, the conductivity and the magnetic conductivity attribute in the gauss point position are judged according to the area where the gauss integral point position in the multimedia units is located, and the process of the degenerate magnetic vector potential method discrete control equation is corrected; then, an eddy current detection signal is obtained according to an experiment system; finally, the actual size of the irregular wear-out defect of the thimble tube is obtained according to a conjugate gradient algorithm. After the multimedia units are introduced to the eddy current testing method of the irregular wear-out defect of the thimble tube, the size of the units can be reasonably increased in the premise that the reconstruction accuracy of the eddy current nondestructive detection of the irregular wear-out defect of the thimble tube is guaranteed, so that the total number of the units is notably reduced, the calculation efficiency is effectively improved, and the method has very high practical value.

The embodiment of the invention provides a power amplifier and a predistortion model generation method and device thereof. The method comprises the following steps: screening values of model parameters of a power amplifier model by utilizing a genetic algorithm, and determining a model input matrix of the power amplifier model, wherein the power amplifier model is a generalized memory polynomial model; and determining a model coefficient of the power amplifier model based on the model input matrix and training data. The embodiment of the invention provides a power amplifier and a predistortion model generation method and device thereof. Key items influencing the modeling precision of the power amplifier in the generalized memory polynomial model are screened and redundant items are removed by using a genetic algorithm, so that the model complexity is reduced and hardware resources are saved on the premise of ensuring the modeling precision, and the power consumption is reduced.

The invention provides an earthlight light pressure perturbation modeling method for a navigational satellite complicated model. The method particularly includes the first step of obtaining related parameters of all surface components on a satellite to be analyzed in a satellite body coordinate system, the second step of calculating the optical radiation intensity of earthlight when the included angle between a sun vector and the positive Z-axis in the satellite body coordinate system is theta EPS, the third step of establishing light path tracking of the earthlight according to the related parameters and the optical radiation intensity of the earthlight and calculating the light pressure perturbation accelerated speed a of the earthlight, the fourth step of allowing the included angle theta EPS to be different values and calculating the light pressure perturbation accelerated speed a corresponding to each included angle theta EPS, and the fifth step of establishing an earthlight light pressure perturbation model f (theta EPS) on the basis of the light pressure perturbation accelerated speed corresponding to each included angle theta EPS with the included angle theta EPS as an independent variable. Trough the method, a high-precision satellite dynamical model can be improved, and the accuracy of precise orbit determination and orbit prediction can be further improved.

The invention provides a power amplifier behavior modeling method based on a two-stage open-loop structure and a binary function unit, and relates to the technical field of nonlinear system modeling and analysis application. According to the method, a two-stage open-loop structure and a two-stage function unit are utilized; modeling of the nonlinear power amplifier with the memory effect can be completed only through few parameters and no feedback path. Good modeling precision is provided for in-band distortion and frequency spectrum regeneration, and by improving the modeling precision of thepower amplifier, interference of nonlinear noise in a system comprising a power amplifier circuit on the system is reduced.

The invention belongs to the technical field of pneumatic models of turbomachinery, and particularly relates to a modeling method for an aerodynamic model of a turbomachinery blade, which comprises the following steps of: S1, reading a three-dimensional solid model of the blade, including a pressure surface, a suction surface, a front edge and a tail edge; s2, performing grid topology on the pressure surface and the suction surface to obtain two grid surfaces, and generating the pressure surface and the suction surface which do not have complete directivity through node distribution on the grid surfaces; s3, lofting the pressure surface and the suction surface which do not have the complete directivity, and generating the pressure surface and the suction surface which have the directivity; and S4, combining the pressure surface and the suction surface with directivity, and combining the pressure surface and the suction surface with the runner line to generate a geometric entity. According to the modeling method, the distribution of the point set on each blade height section is replaced by the distribution of the grid nodes on the pressure surface and the suction surface, so that the aerodynamic model can be quickly established for the blade, and the modeling precision is high; and the eye fatigue can be effectively relieved without processing a large amount of data.

The invention discloses a modeling method for a noise-uncertainty complicated nonlinear dynamic system. The method includes the steps: 1), collecting data during industrial process to acquire data (XMN, Y); and 2), calculating noise statistical value of known input data and output data by means of Gamma Test to acquire precise information of system noise. The modeling method for the noise-uncertain complicated nonlinear dynamic system has the advantages that the best ideal point for increasing production and saving energy is searched, and optimal value of technological parameters is determined; and practical production guide is performed according to the optimized optimal value of the technological parameters.

The invention provides a power amplifier behavior modeling method based on two-stage open-loop and binary function, which relates to the technical field of nonlinear system modeling and analysis applications. The modeling of nonlinear power amplifiers with memory effect can be completed with fewer parameters and no feedback path, and it provides good modeling accuracy for in-band distortion and spectrum regeneration. By improving the modeling accuracy of power amplifiers, the Reduce the interference of nonlinear noise in the system containing the power amplifier circuit to the system.

The invention discloses a CAE automatic modeling method and system for a kinematic pair, a terminal and a storage medium, and belongs to the field of finite element automatic modeling, and the method comprises the steps: obtaining a kinematic pair modeling type and modeling nodes in a kinematic pair modeling request and two to-be-assembled three-dimensional finite element models when the kinematic pair modeling request is received; kinematic pair modeling feature points are determined through the kinematic pair modeling type, the modeling nodes and the two to-be-assembled three-dimensional finite element models; and determining constraint conditions through the kinematic pair modeling feature points, and establishing kinematic pair models of the two three-dimensional finite element models through the constraint conditions and the two to-be-assembled three-dimensional finite element models. While the modeling precision is ensured, the working efficiency is greatly improved, and the product development period is shortened. Firstly, according to the technical scheme, the feature points of the kinematic pair can be accurately solved through an analytical equation, the constraint relation between the feature points and related parts is automatically established, and errors caused by manual operation can be avoided.

The invention discloses a modeling method for a three-dimensional model of a transformer substation, belongs to the field of modeling methods, and discloses a modeling method for a three-dimensional model of a transformer substation. The method comprises the steps of: S00, according to the size of the transformer substation site, establishing a minimum rectangle containing the transformer substation site; S10, performing matrix flight along the minimum rectangle by adopting an unmanned aerial vehicle, and performing high-definition image acquisition on the transformer substation by utilizing oblique photography of the unmanned aerial vehicle; S20, establishing a three-dimensional model through oblique photography modeling software according to the acquired high-definition images; S30, establishing a plane-coordinate system by using the minimum rectangle, determining specific coordinates of each device in the transformer substation in the plane-coordinate system, and correspondingly marking corresponding positions of projections of the three-dimensional model in the minimum rectangle according to the coordinates; and S40, establishing a transformer substation equipment standard model library, replacing the transformer substation equipment with a three-dimensional model in the standard model library by identifying the transformer substation equipment, and carrying out model refinement processing.

The invention discloses a Fortran language-based 3DEC discrete element numerical model modeling method. The method comprises steps of firstly obtaining a three-dimensional contour topographic map of a3DEC discrete element numerical model region, then performing interpolation and rasterization processing on the topographic map to obtain discrete point coordinate data arranged at regular intervals,and then writing and compiling a modeling code based on a Fortran language to obtain a three-dimensional contour map of the 3DEC discrete element numerical model region; rasterizing the discrete point coordinate data to generate a 3DEC discrete element numerical model command stream, and finally reading the model command stream by adopting a 3DEC program to run to generate a 3DEC discrete elementnumerical model. The method is efficient in calculation, simple in operation, high in flexibility, good in convenience and capable of conducting high-precision, multi-rock-stratum and variable-block-unit-size three-dimensional discrete element model construction on a research area with the complex terrain and the large range.

The invention relates to an underground supply air volume estimation method based on a regularization incremental random weight network, which comprises the following steps: analyzing the switching process of a mine main ventilator to obtain a group of variables influencing the change of the underground supply air volume, and taking the variables as the input of a data-driven underground supply air volume model; setting initialization parameters of the model; establishing a new constraint condition to generate a group of candidate hidden layer nodes according to the characteristics of network residuals in iterative learning; selecting a node with the best quality from the candidate hidden layer nodes as a newly added hidden layer node; introducing 2 norm regularization terms into a quadratic loss function, adopting a global regularization least square method to update the output weight of the whole network, completing the modeling until the set maximum hidden layer node number is reached or acceptable tolerance is met, and obtaining an underground supply air volume estimation model based on the regularization incremental random weight network. According to the method, the estimation precision of the model can be effectively improved, and the problem of overfitting can be avoided.

The invention discloses a finite element simulation method for a plate-truss structure with an orthotropic bridge deck combined with a truss girder. The finite element simulation method comprises: enabling the plate-truss structure with the orthotropic bridge deck combined with the truss girder to be simplified and equivalent to a space truss; establishing a full-bridge unit model I for the space truss by adopting a 3D beam unit simulation method; establishing a full-bridge unit model II for a plate-truss structure with the orthotropic bridge deck combined with the truss girder through the beam-slab unit combination method; taking the full-bridge unit model II as a reference, and calculating the elastic modulus correction of an equivalent cross beam and the elastic modulus correction of an equivalent longitudinal beam of the full-bridge unit model I by adopting an influence matrix method; and substituting the elastic modulus correction into the full-bridge unit model I for correction to obtain a final finite element model. The 3D beam unit is adopted to simulate the plate-truss structure combining the orthotropic bridge deck and the truss girder, the influence matrix method is used for conducting elastic modulus correction on the simplified full-bridge unit model I through the full-bridge unit model II, and the finite element calculation efficiency is improved while the calculation precision is guaranteed.

The invention discloses a CAE analogue simulation method for an automobile active air inlet grille, and belongs to the technical field of automobile design, and the CAE analogue simulation method for the automobile active air inlet grille comprises the following steps: determining a CAE analogue simulation analysis working condition of the automobile active air inlet grille; establishing a finite element model of the automobile active air-inlet grille by adopting an unequal thickness modeling method; an automobile active air-inlet grille system is built, and material attributes are established; and S2, carrying out working condition simulation and simulation analysis by using CAE software according to the CAE simulation analysis working condition determined in the step S1. The development cycle of the automobile active air inlet grille can be shortened, and the development cost can be reduced.

The invention provides a method for carrying out rapid modeling by utilizing a depth camera. The method specifically comprises the following steps: S1, obtaining a depth picture by utilizing the depth camera; s2, calculating a transformation pose by utilizing the obtained depth picture; s3, taking the position of the first frame of data as the origin position of the global coordinates, wherein the local coordinates and the global coordinates of the camera in the first frame are superposed; s4, after pose calculation is completed, converting the picture data into point cloud data under global coordinates through pose conversion; s5, calculating a local bounding box of the current shooting range under the local coordinates; s6, dynamically segmenting the bounding box, and updating the TSDF node and all child nodes of the node; and S7, updating, calculating and rendering a triangular patch by utilizing the updated TSDF node and all child nodes of the node, and outputting the triangular patch to a screen. According to the method for carrying out rapid modeling by utilizing the depth camera, the problem that insured products cannot be comprehensively and completely recorded is solved.

A multicolor printing system splitting modeling method for maximizing a color gamut comprises steps of manufacturing and printing single color step-wedges of all primary colors, determining the ultralimit threshold value of each single color ink quantity, measuring the spectrum value of each single-color step-wedge subjected to equal ratio compression and establishing a corresponding relation; splitting an original multicolor printing system into printing system submodels; performing ink color space overall sampling to obtain the sampling samples under the sprinting system submodels, and obtaining the prediction spectrum reflectivity information values by simulation; targeting at all submodels, using a convex hull algorithm to calculate to obtain the ink color space overall sampling color gamut volumes; combining K submodels and using the convex hull algorithm to obtain the color gamut volume of each combination, and locking the combination corresponding to the maximum color gamut coverage rate when the maximum color gamut coverage rate is larger than the preset threshold value, thus realizing the splitting modeling of the original printing system. The method has the technical advantages of obviously reducing the splitting modeling complexity of the system, avoiding the ink quantity ultralimit problem, improving the stability of output colors and the like.

The invention discloses a three-dimensional face modeling method and system without phase unwrapping. The method uses the phase information contained in the multi-frame striped structured light field to mark the target face surface, and the multi-frame face texture captured by the camera is used. The feature points of the face are extracted from the figure and the constraints of face geometric information are generated. The geometric information of the face is used to constrain the process of binocular stereo matching, and the truncated phase is directly used instead of the absolute phase for stereo matching to calculate the disparity map. The stereo matching method of phase unwrapping obtains a high-precision and high-reliability disparity map, and then reconstructs a three-dimensional face model. The present invention does not need to project additional projection and photograph additional structured light fields to assist phase unwrapping, effectively reduces the number of projected and photographed structured light fields required for three-dimensional face modeling, shortens modeling image acquisition time, and effectively ensures modeling accuracy.

The invention discloses a modeling method for a one-dimensional CFD simulation analysis model of an automobile intake and exhaust system, and the method comprises the following steps: S1, building a finite element model of the intake and exhaust system, and the finite element model does not comprise parts irrelevant to gas flow; s2, extracting a pipeline closed surface in the finite element model, performing grid processing on the pipeline closed surface, extracting a shell closed surface in the finite element model, performing grid processing on the shell closed surface, and exporting the pipeline closed surface and the shell closed surface as a geometric model file in an STL format; s3, importing the geometric model files of the pipeline closed surface and the shell closed surface into GT software, and converting the pipeline closed surface and the shell closed surface into a pipeline solid model and a shell solid model by adopting a GEM-3D tool of the GT software; and S4, supplementing parts irrelevant to gas flow into the pipeline and shell solid models, establishing a three-dimensional solid model of the intake and exhaust system, and performing discrete treatment to obtain a one-dimensional CFD simulation analysis model of the intake and exhaust system. The method can ensure the modeling precision and improve the modeling efficiency.

The invention discloses a unified mathematical modeling method for an open-circuit fault of a three-level photovoltaic inverter, and the method comprises the steps: 1, obtaining a mathematical expression of the direct-current side voltage of the three-level photovoltaic inverter according to the characteristics of the fluctuation of the direct-current side voltage when the three-level photovoltaic inverter is in maximum power point tracking operation; and 2, according to different working conditions and current paths of a main circuit power switch device of the three-level photovoltaic inverter, obtaining a switch function expression under a corresponding fault condition, and finally obtaining a unified open-circuit fault switch function expression and a three-level photovoltaic inverter output phase voltage expression. According to the method, a correct three-level photovoltaic inverter open-circuit fault unified mathematical model can be quickly established in a switching function modeling mode, so that the problems that an existing three-level photovoltaic inverter fault simulation circuit modeling method is large in module number, large in calculation amount, poor in simulation flexibility of switching of different types of faults and the like are solved; and the modeling workload and the simulation working time are reduced.

The invention discloses a three-dimensional face modeling method and system assisted by face geometric information. The method is based on the principle of binocular stereo vision of active projection, and uses phase information contained in a multi-frame striped structured light field to perform a modeling operation on a target face surface. Mark, use the camera to obtain the modeling image, obtain the relative phase information contained in the striped structured light field based on the spatial phase unwrapping technology, and use the facial feature points as the anchor points to unify the relative phase information of the binocular camera to the same benchmark, Then phase matching is performed to obtain the disparity map, and then the 3D face model is reconstructed. This method makes full use of the position information of the facial feature points contained in the face fringe map, and performs phase unwrapping without adding an additional structured light field, effectively reducing the number of projections and shooting structured light fields required to complete the three-dimensional modeling, shortening the Modeling image acquisition time, and effectively ensure the modeling accuracy.