52 results about "Patch model" patented technology

The invention discloses an RGBD camera-based three-dimensional human body rapid modeling system. The system is executed through the following steps of: establishing a scanning array by utilizing a plurality of RGB-D cameras; calibrating the scanning array by using an automatic calibration technology, so as to obtain a calibrated matrix and automatically guide the calibrated matrix into a scanning system; enabling the RGB-D cameras in the array to independently scan a target object after the scanning is started, so as to obtain point cloud data of corresponding poses; processing the acquired point cloud data by utilizing a point cloud optimization technology, so as to obtain high-quality point clouds which can be used for triangular meshing; realizing reconstruction from the point clouds to a triangular patch model by utilizing a rapid triangular meshing algorithm; and obtaining a colored three-dimensional human body model by utilizing a color mapping technology. According to the system disclosed by the invention, a technology which is used for constructing the scanning matrix on the basis of the plurality of RGB-D cameras, rapidly acquiring human body feature data and realizing the construction of the human body three-dimensional model with high precision and refined color texture is provided.

The invention discloses a bionic design method of a skull tissue engineering scaffold, which comprises the following steps of: implementing three-dimensional reconstruction according to naturally aired skull micro CT (computed tomography) data to obtain a skull sample three-dimensional model; implementing statistics and analysis for the skull sample three-dimensional model to build a skull microporous structure parametric model; implementing skull scaffold bionic design through the skull microporous structure parametric model; and generating a bionic scaffold. Based on measurement of a natural skull micro CT image, the method raises three elements of a space network architecture, a cavity and a connection tube to implement the bionic design for the scaffold; an obtained internal microporous architecture is similar to a bone trabecula of a natural skull, and the average hole scale is about 500-700 microns, so that bone cell growth and climbing demands are satisfied; and moreover, the skull scaffold, obtained by intersection operation with a patch model of a coloboma part, can be matched with an adjacent part, so that the communication among holes is realized, and a bone structure of a true skull is suited better.

A human body section ring based parametric deformation method is characterized in that a human body model is organized into a section ring data structure, the whole modeling process only needs 13 commonly used human body measurement parameters, the measurement parameters are mapped with human body section rings to define a deformation function, parametric deformation is performed on the section rings, and surface optimization is performed on the deformed model, so that human body deformation with a good sense of reality can be achieved. The human body section ring based parametric deformation method includes the steps of (1) parameterizing a human body triangular patch model into a section ring data structure which is used as a standard human body model of follow-up parametric deformation; (2) mapping the selected human body measurement parameters to the human body section ring data structure; (3) defining the deformation function, and performing parametric deformation on the section rings in each part; (4) performing surface optimization on the deformed model, reconstructing section ring data into a triangular mesh structure, and rendering the deformed human body model.

The present application discloses a method and device for manufacturing a nail patch. The method manufactures a solid nail patch corresponding to the nail patch model through 3D printing technology according to the nail patch model. Through the above method, no matter what the pattern in the nail patch required by the customer is, the nail patch required by the customer can be printed out, which effectively reduces the requirement for the manicurist's hand-painted skills and ensures the quality of the nail art. , and can effectively deal with delicate and complex customized patterns, and the nail stickers are all integrally formed by 3D printing technology, which can effectively prevent the surface accessories from falling off, and the nail effect lasts for a long time.

The invention discloses a single image patch reconstruction method based on an undirected graph learning model. The method comprises the steps of performing multi-view rendering on three-dimensional models in an existing three-dimensional model set to obtain a training image set; representing the patch by using an undirected graph learning model, establishing an undirected graph initialization network consisting of image coding and camera view angle estimation, obtaining camera view angle parameters corresponding to the image, and projecting the initial patch according to the camera view angleparameters obtained by estimation to obtain undirected graph initial characteristics; establishing an undirected graph LSTM network structure and an undirected graph CNN network structure, performingfeature updating on the undirected graph model, and mapping each node of the undirected graph to coordinates in a three-dimensional space to obtain each vertex position of the triangular patch; establishing an undirected graph initialization network and an undirected graph updating network loss, and performing multi-stage training on the neural network; and performing three-dimensional reconstruction on the input image by using the trained network to obtain a final patch model.

The invention provides a construction method of a product simulation three-dimensional model. The method is characterized by comprising the following steps: S1, acquiring prototype data of components, and obtaining physical attribute of the components; establishing a geometric model formed by a triangular patch model outputted by a CAD (computer aided design) system; S2, setting a constraint condition for assembling the components; S3, establishing assembly relation information of the components; generating an assembly relation information set of virtual components; S4, automatically searching the assembly relation information set of the component, finding characteristics of the component corresponding to the assembly relation information set, and realizing the assembly by virtue of the characteristics and the constraint relation between the component and the corresponding component characteristics; S5, simulating the physical attribute of the component. The design information is inputted into a real-time simulation virtual environment in the process for inputting the CAD data into the virtual environment, and the assembly relation information of the components is mapped to the real-time simulation virtual component model, so that the completeness of the design information of the components can be guaranteed.

A computer for assisting in determining the strength of fixing a craniofacial surgery patch comprises a storage device for storing a medical image and a central processing unit, the central processing unit carry out a method for assisting in determining the strength of fixing a craniofacial surgery patch. The method includes obtaining a medical image; establishing a skull model according to the medical image; receiving a patch setting command, and disposing a patch model on the skull model according to the patch setting command; generating an internal grid mesh data of the skull model disposed with the patch model; executing a biomechanical simulation of a patch structural strength according to the skull model disposed with the patch model, the internal grid mesh data and a boundary condition; and providing a stress distribution, a strain distribution or a displacement distribution of the patch model to assist in determining.

The invention relates to an ISAR imaging simulation method based on time domain shooting bouncing ray-method quick near-field calculation. The method comprises steps of (S1) setting a target triangular patch model and transient incident field capable of being any time domain waveform, (S2) employing a time domain shooting bouncing ray quick near-field calculation method to calculate a transient near-field scattering echo illuminated on the target triangular patch model by time domain plane waves, (S3) unifying the target transient near-field scattering echo in a frequency domain according to an incident signal, and (S4) repeatedly executing step 2 and 3 according to angle width and sampling density required by ISAR imaging definition to achieve echo data of a selected angle sample, and then conducting azimuth focusing to achieve a target ISAR image. Real narrow pulse broadband radar close range imaging detection can be simulated; quick calculation speed, high calculation precision and wide application range can be achieved; and pre-estimating data can be provided for target near-field scattering image diagnosis, so cost can be reduced.

The invention relates to a method for separating a topological face based on a triangular patch model. The method comprises the steps of: 1) carrying out data pre-processing on the triangular patches in the triangular patch model; 2) decomposing a topological face from the triangular patch model by the combination of the triangular patches; 3) building basic geometric information of the topological face; and 4) judging whether all topological faces are decomposed from all triangular patches in the triangular patch model; if not, decomposing the topological faces from all triangular patches in the triangular patch model and returning to the step 2); or else, finishing the separating method.

The present invention provides a local repairing method of a machine learning model. The method comprises: collecting of analysis feedback data: collecting user feedback data, and extracting mispredicted data samples; performing spatial alternation: converting an original data space to a new data space through scale learning, reducing a distance between the mispredicted data samples as much as possible in the new data space, and increasing a distance between the mispredicted data samples and correctly predicted data samples as much as possible; learning incorrect data samples to establish a patch model in the new data space, and defining the application range of the patch model; and in the new data space, learning incorrect data samples to establish the patch model, and defining the application range of the patch model. The local repairing method of the machine learning model improves the performance of the machine learning model.

The invention provides a multi-constrained numerical control machining trajectory generation method for a triangular mesh model. The method comprises the following steps: after reading a three-grid model and establishing topology information, performing adaptive mesh subdivision with processing bandwidth as a constraint; using a certain unmarked vertex on the surface of the subdivided mesh as an initial point of trajectory, calculating selective measure indexes of respective unmarked vertices in the current cutter contact first-order field, and using the vertex with the largest value as the next cutter contact, wherein the selective measure index is the weighted sum of the maximum feed speed, machining bandwidth, and optimal tooling direction weight of the current cutter contact to respective candidate point directions; marking all the selected cutter contacts and the cutter contacts within the tooling bandwidth range, ending the trajectory when the first-order neighborhood of a certain cutter contact has no unmarked points; and repeatedly generating the next trajectory until all vertices of the grid are marked. The method can effectively generate and satisfy the constraints such as machine tool kinematics and geometric machining precision by complex triangular patch models.

The invention relates to a polarizing techniques of electrets capacitance model microphone, it adopting high-handed happening-equipment bring more then ten thousand volt DC voltage to let air engender happened ionization, then high voltage throw the electric ion coming from ionization air into electrets material, let electrets have electrification, the temperature of the polarizing techniques is 200-250 Deg.C. The invention is in charge relatively stable, if the microphone is adopted 260 Deg.C. temperature-resistant material to make of, then can seal from 260 Deg.C reflux-machine, its change of sensitivity can kept within 3dB, compared with the traditional microphone, the invention of the microphone is enhanced the stability, can exhibit patch model to product, therefore economize manpower and improve efficiency of produce.

The invention discloses an X-ray image simulation method based on a patch model, which relates to the technical field of medical virtual reality and comprises the following steps of: segmenting from aCT image to obtain a triangular patch model of each organ; carrying out sequential unrelated fusion mixing operation on the forward face depth map and the backward face depth map of the model of eachorgan to obtain a thickness value of each projection position of the organ model; simulating the energy attenuation of X-rays by using a Lambert-Beer law for each organ model;carrying out deep fusionon the X-ray images of the plurality of organs; and adding noise to the fused X-ray image. According to the technical scheme, the interventional operation is simulated more accurately, and the authenticity of virtual training and rehearsal is improved; The melting and mixing operation is completed by using a transparent technology irrelevant to the sequence, so that the problem that the geometricbody possibly has self-intersection to cause that the sorting cannot be completed is solved; Attenuation generated when X-rays penetrate through a human body is effectively reduced; And a light projection algorithm is used to solve the problem of deep sorting of a plurality of organ models.

The invention discloses an image registration method based on point cloud data. The method comprises the steps: griding a CAD model into a triangular patch model; calculating local features and spatial positions of all model point pairs in the triangular patch model, and establishing a local feature model; acquiring point cloud data of a to-be-measured workpiece; calculating local features of actual point pairs; matching the local features of the actual point pairs with the local features in a local feature model to obtain a coarse registration rigid transformation matrix; calculating a fine registration rigid transformation matrix of the CAD model and the point cloud data based on the coarse registration rigid transformation matrix; and performing rotation and translation transformation on the point cloud data according to the precise registration rigid transformation matrix, so that the CAD model is matched with the point cloud data of the to-be-detected workpiece. Through the method, the local features of the to-be-measured workpiece can be accurately calculated, when the accuracy of the local features is high, the precision of coarse registration can be improved, and meanwhile, an accurate initial transformation matrix can be provided for fine registration. The invention further provides an image registration device based on the point cloud data.

The invention discloses an application of a virtual reality technology based on a CAD oversized model in a hydropower station simulation system. The application comprises the following steps: openinga CAD hydropower station accurate model in SolidWorks software in a reduction mode; performing lightweight processing on the opened CAD hydropower station accurate model to obtain a lightweight hydropower station model; storing the lightweight hydropower station model as a file in an SFX format; and importing the hydropower station model file in the SFX format into a virtual reality platform MakeReal3D, wherein the obtained model inherits the characteristics, attributes, materials and mechanism linkage information of the CAD hydropower station precise model. According to the method, the application problem of the super-large CAD model of the hydropower station in a virtual reality simulation system is fundamentally solved. Repeated establishment of a triangular patch model is avoided, a mode of model format conversion and automatic light weight is adopted, model processing work becomes faster and more efficient, and research and development personnel can put main energy on content production of later simulation application.

The invention discloses a model training method, a network situation prediction method and device, equipment and a medium. The method comprises the steps of determining a network security situation value of each sample time period; according to the processing mode, processing the network security situation value of each sample time period to form a network security situation training sample set; inputting the network security situation training sample set into an initial SVM model optimized by a PSO algorithm to obtain errors between each training prediction value and the corresponding actual value; determining a patch training sample in the training sample set according to the error between each training prediction value and the corresponding actual value; training the initial SVM model according to the patch training sample to obtain a patch SVM model; and training the initial SVM model according to the remaining normal training samples except the patch training samples in the training sample set to obtain a global SVM model. The model training method is high in training efficiency, and the accuracy of the trained SVM model is high.

An improved method for curved surface grid vertex normal calculation in grid division comprises the steps: S1, judging whether the vertex of a given curved surface is a singular point or not: if yes,executing the step S2, and otherwise, executing the step S3; S2, based on the geometric parameters of the given curved surface, calculating the normal direction of the singular point, and entering S7;S3, solving a tangent vector in the UV direction at the vertex, judging whether the tangent vector is zero or not: if so, entering S4, and otherwise, entering S5; S4, calculating the normal directionof the vertex, judging whether the normal direction is a non-zero vector or not: if yes, entering S7, and otherwise, entering S6; S5, obtaining the normal direction through cross multiplication of the two tangent vectors, executing the step S7; S6, averaging the normal lines of all the triangular patches connected to the vertex to serve as a vertex normal line direction, and entering S7; S7, outputting a normal direction; S8, when a point set is generated based on the boundary of the triangular patch model, interpolating to generate the point set on the boundary according to the normal direction, and performing triangular mesh generation on a given curved surface.

Embodiments of the invention provide a fractal graph creation method and a device, an electronic equipment and a storage medium. The method comprises the steps of creating a three-dimensional patch model; determining a pixel plane from the three-dimensional patch model; determining a light ray starting point and a light ray starting direction based on the pixel plane; taking the light ray startingpoint as a starting point, and performing light ray tracking calculation in the light ray starting direction to obtain target three-dimensional coordinate data; and performing coloring rendering on the target three-dimensional coordinate data to create a fractal graph. According to the embodiment of the invention, light tracking and coloring rendering only need to be carried out on the pixel screen in the screen in the three-dimensional patch model, and light tracking and coloring rendering do not need to be carried out on the whole screen, so that a large amount of computing resources can besaved.

The invention provides a color matching method and device for a patch model, electronic equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: obtaining the color distribution information of the to-be-matched patch model according to the corresponding relation of file contents contained in the to-be-matched patch model, determining color matching degree information between the to-be-matched patch model and other patch models to select a target patch model matched with the to-be-matched patch model from the other patch models, and determining a color matched with the to-be-matched patch model according to the target patch model to recommend an article model. According to the method and device, the electronic equipment and the storage medium, the problem of color matching degree between color extraction and determination of the surface piece model is solved, so that the color matching requirement of the object model and the color analysis requirement of the surface piece model are met, color matching of different objects is accurate and rapid, and the quality of AI home decoration design can be ensured.

The invention discloses a virtual airport model ground surface texture projection rendering method comprising the following steps that S1: a texture map is established; S2: the map is outputted to a newly built undivided surface patch model having the same area with projection area through a texture map channel; S3: the newly built undivided surface patch model and the texture map are stored in video memory; and S4: a visual engine loads the newly built surface patch model and the captured texture map and schedules video card resources for rendering. According to the method, model vertex information conventionally computed by a CPU is transferred to the texture map channel and computed by directly scheduling the GPU resources of the video card, and the information is also directly stored in the video memory to be directly scheduled by the GPU without reallocation in a system memory through a system bus so that utilization rate and processing speed of system resources can be greatly enhanced, computational resources of the CPU can also be released and the whole system is enabled to be more efficient.