196 results about "Three dimensional graphics" patented technology

The invention relates to the technical field of computer graphics, in particular to a real-time three-dimensional graphic rendering optimization method and device based on deep learning, and the method comprises the steps: carrying out the feature extraction of the geometric, texture and illumination information of a graphic through a multi-modal deep neural network, and generating a high-dimensional feature vector; dynamically adjusting the resolution of the triangular mesh by adopting a graph neural network, and outputting an optimized geometric mesh structure; predicting global illumination of the graph by using a neural radiation field model, and generating an optimized illumination map through a variational auto-encoder; performing fusion analysis on the illumination map and the texture data by using a visual Transform model to generate an adaptive texture mapping scheme; and in combination with a rendering scheduling strategy of deep reinforcement learning and a super-resolution reconstruction method of a generative adversarial network, a rendering result is optimized, and a rendered image is post-processed. According to the method, multiple deep learning technologies are comprehensively utilized, and the quality and efficiency of real-time three-dimensional graph rendering are remarkably improved.

The invention provides an infrared scene reconstruction and rendering method and device based on three-dimensional Gaussian splashing, and the method comprises the steps: carrying out the processing of preprocessed infrared image data through employing an SfM algorithm, obtaining a sparse three-dimensional point cloud and a camera pose, and setting a Gaussian ellipsoid at the center position of the sparse three-dimensional point cloud, so as to construct a three-dimensional Gaussian point cloud model; inputting the camera pose into a Gaussian microrasterized renderer to render the three-dimensional Gaussian point cloud model to obtain a two-dimensional image of a corresponding view angle; the two-dimensional image and the infrared image data of the camera pose are compared through a loss function, the model is trained, a trained three-dimensional Gaussian point cloud model is obtained, and the loss function comprises a temperature gradient field, the projection position of a Gaussian ellipsoid in a pixel plane under the current camera visual angle and the main axis projection direction; and processing the trained three-dimensional Gaussian point cloud model by using a three-dimensional graphic engine and a 3D Gaussian rasterization renderer to obtain an infrared simulation image. And the authenticity of reconstruction and rendering of the infrared scene is relatively high.

The present invention provides a solution of a human-computer interaction method and system based on three-dimensional coordinate measurement, and a plurality of solutions for applying same to solve technical problems. An operation body and / or an operator performs input and operation interaction by means of a virtual keyboard and a virtual mouse, or integrates a display picture space and carries out various participatory and interactive direct operations and experiences on object components and objects in virtual and real scenes. Virtual handwriting input, body movement posture recognition, and lip recognition interaction methods are further provided, and virtual mode control and interaction methods such as gesture recognition and virtual touch screen interaction are supported. Contact is not needed and there is no need to touch the screen, and mobility is achieved. The present invention is suitable for the two-dimensional conventional computing field, and particularly suitable for three-dimensional space computing fields (comprising VR, MR, AR, meta-universe, virtual simulation, software games, three-dimensional graphics, three-dimensional animation, and other three-dimensional scenes). Human-computer interaction operations in work and life of people can be greatly facilitated and optimized.

The invention provides a three-dimensional graphic engine natural language interaction method and system based on an MCP and an AI Agent, and relates to the technical field of intelligent control, and the method comprises the steps: autonomously judging an MCP tool set needing to be called according to the analyzed intention and scene demands, and planning the precedence logic and cooperation mode of tool calling; converting the structured semantic information and the tool calling plan into a unified semantic data packet through an MCP protocol to form a cross-tool collaborative MCP instruction; based on an MCP instruction, the adapter module performs adaptation conversion according to API characteristics of a target three-dimensional engine, a corresponding interface is called to execute object operation in a three-dimensional scene, the AI Agent can automatically correct a subsequent instruction or tool calling strategy based on feedback, and closed-loop intelligent interaction is achieved. According to the invention, the interaction barrier between the natural language and the three-dimensional graphic engine is broken, so that the user can conveniently and intelligently control the three-dimensional object, the scene view angle and the dynamic effect directly through the natural language, and the interaction efficiency and flexibility are remarkably improved.

The invention provides a three-dimensional visualization expression method for a multi-scale geological structure model, including: collecting geological exploration data which includes geophysical information, drilling information, outcrop survey information, seismic information and geological age data; performing interpolation simulation on the geological exploration data to obtain an exploration sample set; preprocessing the exploration sample set to obtain preprocessed data, the preprocessing process including data cleaning, format unification and noise removal; constructing a multi-scale geological structure model according to the preprocessed data based on a three-dimensional modeling technology; performing scale decomposition on the geological structure model using a multi-scale analysis method to form model representations at different scale levels; and converting the model representations into 3D visualization images using a 3D graphics processing technology. The invention can effectively improve the expression ability of geological model and user experience, and has important practical application value for geological exploration and resource assessment.

The invention relates to the technical field of geographic information processing, in particular to a land parcel line close-to-the-ground rendering method and system and a computer readable storage medium, and the method comprises the steps: obtaining a 3D model of a topographic region, and extracting ground point cloud data representing the topography from the 3D model of the topographic region; converting the ground point cloud data into a continuous terrain surface model through digital terrain modeling; determining a land parcel boundary point and a gradient thereof based on the terrain surface model, and selecting a corresponding interpolation method according to the gradient to perform encryption and smoothing processing of terrain data; and performing close-to-ground rendering of the land parcel boundary through a three-dimensional graphic rendering technology based on the topographic data and the land parcel boundary points after interpolation processing. According to the implementation of the method, the land parcel line can be accurately attached to the ground, and a more real and natural visual effect is presented.

The invention discloses a household photovoltaic BOM generation method and system, and belongs to the technical field of design drawing processing, and the method comprises the steps: screening effective primitives from a drawing file through geometric attributes and a layer naming rule; converting a two-dimensional graph in the drawing file according to the space coordinates of the effective primitives to obtain an initial three-dimensional graph; based on the axis net in the initial three-dimensional graph and the name of the two-dimensional graph, obtaining the incidence relation between the two-dimensional graphs, and based on the incidence relation, filling the initial three-dimensional graph with the supporting component corresponding to the effective primitive; copying the supporting members which are logically merged in the initial three-dimensional graph to the corresponding shafts according to the shaft numbers in the shaft net to obtain a final three-dimensional graph; and generating a material list table of the household photovoltaic module based on the final three-dimensional graph and a preset rule table. The technical problem that the accuracy is difficult to improve while the material list generation efficiency is improved in the prior art is solved.

The invention discloses a simulation drill commanding and dispatching method and system based on multi-role cooperation. A simulation scene combining a static environment and a dynamic disaster model is constructed through a three-dimensional graphic engine. The distributed participants access the system through the communication network, and the role management module distributes role permissions of general commanders, directors, emergency groups and the like to the distributed participants. The guiding and dispatching personnel can set disaster parameters and inject emergencies, and the general command can check scene states in real time and issue command and dispatching instructions. And each group terminal executes virtual operations such as disaster disposal, evacuation guidance, first aid and public opinion control according to the instruction, calculates the influence in real time through a disaster model and synchronizes the influence to all the terminals. And the data recording module is used for collecting the whole process event, and generating a quantitative evaluation report and three-dimensional redisk content after the drilling is finished. Cross-region, multi-role, high-simulation and quantifiable emergency drilling is realized, and the problems of single role, weak interactivity and lack of evaluation ability of traditional drilling are effectively solved.

The invention relates to the technical field of three-dimensional graphic rendering, in particular to a multi-model surface filling method based on template buffering, a terminal and a storage medium, and the method comprises the following steps: obtaining a plurality of to-be-processed models and sectioning planes, and generating corresponding surface filling planes; setting corresponding numbers according to bits for the to-be-processed model and the patch plane; performing double-sided rendering on the to-be-processed model, and performing single-sided rendering on the complement plane; and discarding the slice elements of the patch plane of which the binary bit corresponding to the serial number is not 1 in the template value, and finishing trimming of the patch plane. According to the method, a bitwise corresponding numbering rule, combination of double-sided rendering and bitwise negation and a parallelization mechanism that multiple models share a single template value are utilized, and the problems that a traditional method frequently empties template values, strictly depends on sequential rendering, is insufficient in support for multiple models and the like are solved.

The invention discloses a processing method for paleontoid epidermis graphic data, which is characterized in that in a data acquisition link, three-dimensional scanning equipment is applied to grasp original three-dimensional graphic data for subsequent processing, an analysis foundation is laid, a preprocessing stage is of great significance, high-frequency noise caused by a scanning environment and equipment precision is eliminated through de-noising processing, and the processing efficiency is improved. And when the obtained smooth three-dimensional data is converted into the two-dimensional texture mapping graph, errors and distortion are reduced, and the data availability is improved. In the textural feature extraction step, a gray-level co-occurrence matrix algorithm is applied to the field, textural feature parameters such as contrast, correlation, energy and entropy are calculated, quantitative description of paleontoid epidermis textures is realized, abstract textures are converted into comparable and analyzable numerical values, and key characteristics for identifying species are mined. In the texture classification stage, based on the extracted feature parameters, a model is constructed by means of machine learning algorithms such as a support vector machine and a random forest, and paleontological epidermis textures are accurately classified.

The invention discloses an intelligent chart visualization method based on a model control protocol. The method comprises the following steps: step 1, establishing connection between a visual rendering client and an intelligent analysis server; 2, receiving a natural language visualization instruction of a user, and obtaining source data; 3, intention recognition is conducted on the natural language visualization instruction, and feature extraction is conducted on source data; 4, determining an adaptive visual chart type; 5, generating a model control protocol instruction packet; 6, receiving and analyzing a model control protocol instruction packet; and step 7, constructing a three-dimensional grid model, and submitting the three-dimensional grid model to a graphic processing unit for rendering display. According to the method, an artificial intelligence natural language understanding technology and a three-dimensional graph programming visualization technology are combined, and the method has the advantages of chart self-adaption, visualization and scene fusion, real-time and efficient rendering and the like.

The invention relates to the technical field of real-time three-dimensional graphic processing, and provides a method and device for constructing a multi-level-of-detail model. The method comprises the following steps: performing texture combination on a plurality of original textures in an original three-dimensional model to generate a zero-level model; obtaining an initial first-level texture based on the zeroth-level model to generate an initial model; performing texture merging on a plurality of initial first-level textures in the initial model to generate a first-level model; sampling and scaling the zeroth-level texture of the zeroth-level model according to the scaling multiples of different levels from the second level until the zeroth-level texture cannot be sampled and scaled according to the corresponding scaling multiples, so as to generate at least one level of model; combining all the generated hierarchical models to obtain a multi-detail-level model; according to the method, the loading efficiency is ensured, and meanwhile, the consistency of the original three-dimensional model before simplification and each level model in the multi-level-of-detail model in appearance can be ensured.

The invention provides a path fitting method, device and equipment based on a digital three-dimensional scene, and the method comprises the steps: receiving personalized parameters defined by a user at a front end, and packaging the personalized parameters into a data volume which can be analyzed by a three-dimensional graphic rendering engine; based on a three-dimensional graphic rendering engine, analyzing the data volume and converting the data volume into parameters required for creating a target path; generating a mapping component of a ground projection effect between the corresponding data point positions based on the converted parameters; the starting point position of the target path is calculated, and the position, rotation and scaling of the mapping assembly are determined; and based on the length and direction of the target path, calculating the mapping of each section of path forming the target path in the whole path texture mapping space so as to realize the visual effect of displaying the texture style and moving the covering along the target path. According to the scheme, the problem that the path is easy to penetrate or suspend can be solved, meanwhile, the accuracy and the visual effect of path creation are improved, and the flexibility and the response speed of the system are enhanced.

The invention relates to the technical field of three-dimensional modeling, in particular to a terrain modeling method and device based on a domestic three-dimensional graphic platform Railworks, and the method comprises the steps: collecting terrain data along a rail transit engineering project, and generating a structured original data pool; the method comprises the following steps: extracting and processing a discrete three-dimensional point set through a Railworks platform, and generating a triangular mesh by adopting a Gift Wrapping algorithm and a Delaunay triangulation algorithm; reconstructing a three-dimensional terrain surface model, adding an attribute database, and integrating elevation and gradient attributes according to industrial standards; and a downstream bridge and roadbed design module is connected through a data synchronization mechanism, so that design parameters are automatically updated. The device correspondingly realizes functions of each step. According to the method, the problems of high data security risk and low collaboration efficiency caused by dependence on foreign software are solved, an autonomous solution is provided, and the data processing security and the cross-professional design collaboration efficiency are improved.

The invention provides a slurry permeation discrete element fluid-solid coupling optimization simulation method based on pore morphological characteristics, which comprises the following steps of: obtaining spatial geometric information of sand through a CT (Computed Tomography) scanning method and a digital three-dimensional reconstruction technology, and establishing an STL (Standard Template Library) three-dimensional graphic file of a sand stratum; and importing the STL file into a computational fluid dynamics-discrete element coupling program to establish a pore flow field grid and a discrete element wall boundary, and establishing a discrete element fluid-solid coupling calculation model, thereby realizing the calculation demand of restoring the formation pore morphology characteristics. In order to reduce the calculation amount and improve the calculation efficiency, the total number of slurry particles calculated in real time is reduced in a discrete element module through a method of circularly inserting belt speed particles and deleting filter-off particles. By utilizing the method, original size simulation can be carried out according to the actual shape of an actual stratum and the actual size of actual slurry particles, and a new thought is provided for the research method of the shield tunnel excavation face slurry permeation micromechanism.

Apparatus and methods for three-dimensional pose estimation are disclosed herein. An example apparatus includes an image synchronizer to synchronize a first image generated by a first image capture device and a second image generated by a second image capture device, the first image and the second image including a subject; a two-dimensional pose detector to predict first positions of keypoints of the subject based on the first image and by executing a first neural network model to generate first two-dimensional data and predict second positions of the keypoints based on the second image and by executing the first neural network model to generate second two-dimensional data; and a three-dimensional pose calculator to generate a three-dimensional graphical model representing a pose of the subject in the first image and the second image based on the first two-dimensional data, the second two-dimensional data, and by executing a second neural network model.

The invention relates to the technical field of neuroendoscopy, in particular to a neuroendoscopy under-endoscope guiding method based on multiple intraoperative scenes, which comprises the following steps: performing three-dimensional graph reconstruction based on a plurality of three-dimensional medical images shot by medical imaging equipment, and establishing a three-dimensional reconstruction scene; determining a space conversion matrix of the tail end of the neuroendoscope and the three-dimensional reconstruction scene according to a shooting result of the optical tracking locator and the three-dimensional medical image, and determining a virtual camera according to the space conversion matrix; adjusting the virtual camera according to the moving mode of the neuroendoscope, and obtaining a corresponding virtual endoscope picture after the neuroendoscope is moved; determining the axial direction of the endoscope according to the spatial transformation matrix, and determining a virtual section image along the axial direction of the endoscope according to the axial direction of the endoscope and the three-dimensional reconstruction scene; according to the invention, dynamic and high-precision three-dimensional guidance and augmented reality display of the neuroendoscope can be realized.

The invention relates to the technical field of BIM model and Iot device mapping, in particular to a BIM model and Iot device automatic mapping method and system based on a graphic engine, and the mapping method comprises the steps: marking an Iot device identifier and an Iot device size for a two-dimensional CAD drawing; and creating a three-dimensional BIM model according to the CAD drawing. And importing the CAD drawing and the three-dimensional BIM model into a graphic engine. And converting the Iot device and the Iot device identifier corresponding to the single-layer two-dimensional CAD drawing into a three-dimensional BIM graphic element. And selecting Iot equipment which needs to be mapped. And carrying out space matching operation based on the selected Iot equipment. The Iot equipment identification mapping method solves the problems that an Iot equipment identification mapping method at the present stage is complex in operation, low in efficiency, high in cost, low in precision, difficult in secondary updating and the like.

The present invention discloses a high-speed slitting quality monitoring system for PVC hard sheets based on AI vision detection, which relates to the field of industrial automation technology. The system consists of several functional modules, including: a data acquisition module, which, when the PVC hard sheet enters the detection area, controls the camera and the thermal imager through the PLC to synchronously acquire image data and thermal imaging data; a three-dimensional graphics synthesis module, which, based on the image data, superimposes contour recognition to generate a three-dimensional model; based on the thermal imaging data, uses affine transformation to obtain the position information of the thermal imaging data, and performs spatial registration with the three-dimensional model to generate a temperature gradient field; a defect detection and recognition module, which evenly divides the surface of the three-dimensional model, numbers the evenly divided regions, and based on the connected domain analysis of morphological operations, superimposes multi-scale feature fusion to perform defect recognition; according to the temperature gradient field after region segmentation, performs temperature uniformity evaluation and calculates the temperature standard deviation between regions.

The invention relates to the technical field of bridge construction supervision, and discloses a bridge construction supervision method based on part management, and the method comprises the following steps: S1, carrying out the hierarchical decomposition of a construction project, and guaranteeing the clear task, standard and acceptance content of each level from the project type to the process; s2, generating a three-dimensional section graphic model of each part; the invention also discloses a bridge construction supervision system based on part management, and the system comprises a part decomposition and three-dimensional graph generation module which is used for generating the decomposition model and the three-dimensional section graph of the construction project; and the data acquisition and synchronous updating module is used for acquiring construction data in real time and synchronizing the construction data to the three-dimensional section graphic model. By combining a new thought of'part 'and'process' management and utilizing a three-dimensional section graphic model, a dynamic adjustment mechanism and an intelligent supervision system, problems in traditional construction management are solved, the management precision and efficiency are improved, and high efficiency, precision and intelligence of construction management are realized.

The invention discloses a GIS equipment fault diagnosis method and system based on a Transform neural network, and relates to the technical field, and the method comprises the following steps: obtaining the key data of the operation state of GIS equipment in real time, and preprocessing the data, the key data comprising an original vibration signal, equipment temperature rise and the decomposition product concentration of insulating gas; carrying out mechanical fault identification and non-mechanical fault identification on the processed data, fusing identification results, and outputting fault classification information; constructing an equipment fault knowledge graph and generating a fault report in combination with the fault classification information; the fault report of the GIS equipment is visually displayed through a three-dimensional graphic technology; obtaining user feedback information, and dynamically updating the equipment fault knowledge graph; according to the method, advanced deep learning, knowledge graph construction, three-dimensional graph rendering and feedback learning mechanisms are introduced, so that the accuracy, robustness and interactivity of GIS equipment fault diagnosis are remarkably improved.

The application belongs to the field of intelligent manufacturing, and particularly relates to a machine tool RTCP precision interpolation method based on three-dimensional curved surface fitting, which comprises the following steps: determining a main motion shaft of a machine tool according to a machine tool topological structure and RTCP functions, setting a motion interval of the main motion shaft, and forming a linkage RTCP detection position combination; obtaining three-direction error values under each linkage RTCP detection position combination; adopting a local weighted regression scattered point smoothing algorithm to fit three-dimensional data, so as to obtain three groups of regression models corresponding to three-direction errors; resetting a plurality of linkage motion position combinations as RTCP precision verification points, and performing verification; if a specified threshold is exceeded, a smoothing coefficient of the step is modified; and if the threshold is within a range, fitting is ended and is used for RTCP precision interpolation and compensation. The application proposes three-dimensional curved surface fitting based on a local weighted regression scattered point smoothing algorithm, combines RTCP error three-direction values and detection positions, and respectively makes three-dimensional graphics for fitting prediction, so that the method is novel and has high fitting interpolation accuracy.

The invention discloses an airborne three-dimensional graphic engine display optimization method based on particle filter optimization, and relates to the technical field of airborne avionics graphics. According to the method, optimization strategies such as a particle filtering optimization technology, a three-dimensional pixelating technology, dynamic scene management, resource optimization management, hardware acceleration, an asynchronous shader technology and optimization renderer design are introduced, so that the rendering efficiency, the display quality and the resource utilization rate of the graphics engine are remarkably improved, and the rendering efficiency of the graphics engine can be greatly improved in a resource limited environment. And high-precision and low-delay three-dimensional graphic rendering is realized, the requirement of the aircraft on real-time display is met, and the method has important application value and popularization prospect.

Disclosed are methods of generating a visual representation of a wireless service conditions in a three-dimensional display comprising: capturing, from a wireless device, a collection of data comprising wireless service conditions; determining from the data, a latitude and longitude and determining a reference altitude based on said latitude and longitude; determining from the data, a reported altitude in a coordinate system of choice; subtracting the reference altitude from the reported altitude in the coordinate system of choice; determining an estimated above-ground elevation of the data; and displaying in a visual representation the wireless service condition within a three-dimensional graphical image.

An apparatus, method, and computer-readable medium for generating a view of an augmented reality environment includes: generating an augmented reality (AR) environment based at least in part on one or more audiovisual feeds of a set captured by one or more physical cameras and one or more three-dimensional graphics models of a virtual environment; tracking a current viewpoint location within the AR environment, the current viewpoint location corresponding to one or more of a physical location of a physical camera in the one or more physical cameras or a virtual location of a virtual camera in the virtual environment; and generating a view of the AR environment based at least in part on the current viewpoint location.

The invention discloses a three-dimensional data loading method of a CIM platform, and relates to the technical field of computer three-dimensional graphics, and the method comprises the steps: querying a three-dimensional data object through a spatial index; determining a default loading range corresponding to a camera viewpoint based on a rendering performance baseline of the target equipment, and determining a loading strategy of the three-dimensional data object according to the semantic tag of the three-dimensional data object; determining a loading domain category of the three-dimensional data object according to a default loading range; if the loading strategy is non-on-demand loading, calculating the priority score of each three-dimensional data object according to the semantic tag, the loading domain category and the vertex coordinate array corresponding to the three-dimensional data object; and sequentially loading the three-dimensional models corresponding to the three-dimensional data objects on the target equipment on the basis of the values of the priority scores, thereby solving the technical problem that a data loading method based on a single spatial dimension is difficult to adapt to terminal equipment and complex business scene requirements, and ensuring the stability and smoothness of a rendering frame rate.

The invention provides a low-light document image enhancement method and system based on three-dimensional rendering and document structure guidance. Comprising the following steps: constructing paired training samples of low-light document images and normal-light document images based on a scanned document image data set; training a low-light document image enhancement model based on the paired training samples; obtaining a to-be-enhanced low-light document image; inputting a to-be-enhanced low-light document image into the low-light document image enhancement model, extracting features and outputting an intermediate enhanced image, and outputting a document structure prediction map based on the intermediate enhanced image, and performing scale adaptive adjustment on the document structure prediction map by each level of a decoder of the low-light enhancement backbone network, and performing fusion reconstruction on the document structure prediction map and coding features through a cross attention module to obtain an enhanced document image. According to the method, a three-dimensional graph rendering technology is combined with deep learning, the data acquisition cost is remarkably reduced, and the readability and the OCR recognition accuracy of the enhanced document are greatly improved through a multi-level document structure sensing mechanism.

The invention discloses a simulation optimization method for preparation parameters of a silicon carbide particle reinforced metal matrix composite, which comprises the following steps: S1, setting the temperatures of a preform and a sand box to be room temperature, and selecting circular ceramic particles for pouring to obtain a casting; s2, after three-dimensional graph drawing is carried out on a casting in Creo, a model is converted into an igs format and then imported into Procast, and then grid division is carried out in the Procast; s3, other variable parameters are kept constant, only the pore size of the ceramic particles is changed, and the optimal pore size is determined through simulation analysis. Accurate guidance is provided for performance improvement and practical application of the ceramic particle reinforced metal matrix composite, scientificity and preciseness of simulation research are ensured, and follow-up experimental verification and practical production and application of the material are powerfully supported.

A display system acquires data indicative of an orbit of an artificial satellite and time series data related to the artificial satellite, and performs three-dimensional graphic display of a graph of the orbit of the artificial satellite and the time series data such that time axes of the graph of the orbit of the artificial satellite and the time series data match.

The invention discloses a controllable three-dimensional graphic content generation method and system based on multi-image fusion. The method comprises the following steps: receiving a plurality of input images for controlling three-dimensional generation; analyzing an association relationship between the plurality of input images and the three-dimensional space representation through a matching algorithm to obtain a feature sequence of each input image after coding; based on the feature sequence, constructing a mixed condition feature sequence containing multi-image comprehensive semantics through a fusion algorithm; and inputting the mixed condition feature sequence into a generative model, and introducing an enhancement mechanism to perform adaptive adjustment on a feature association relationship so as to obtain a condition feature sequence after fusion enhancement. And inputting the fused and enhanced condition feature sequence into a three-dimensional generation decoder, and outputting final three-dimensional graphic content. According to the method, flexible control from the whole to the local under the multi-image condition can be realized, and based on the two-dimensional to three-dimensional automatic alignment capability, the generation efficiency is remarkably improved while the generation quality is ensured.