152 results about "Three dimensional graphics" patented technology

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 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 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 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 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 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 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.

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.

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.

The present invention discloses a method, device, storage medium, and equipment for automatic deflector lofting. By using two sets of three-dimensional point data input by a user, the data of the two boundaries of the deflector can be obtained, preparing for subsequent three-dimensional graphics drawing and subsequent lofting calculations. By drawing a three-dimensional curve, point data other than the point data provided by the user can be obtained, preparing for subsequent lofting calculations. By utilizing the relationship between the starting point, the next equal-division point, and the lofting starting point, the coordinate data of the next lofting point can be calculated, and the coordinate data of the lofting point can be accurately obtained, thereby improving lofting efficiency and data accuracy, preparing for subsequent two-dimensional graphics drawing. A two-dimensional graphic is drawn using the lofting data to obtain a planar unfolded view of the deflector. The embodiments of the present invention can improve lofting efficiency and data accuracy in the existing deflector lofting process.

A control apparatus includes an acquiring unit configured to acquire information about three-dimensional space obtained using a distance measuring unit and information about a three-dimensional figure specified by a user, a determining unit configured to determine a search area based on the information about the three-dimensional space and the information about the three-dimensional figure, and a control unit configured to automatically control an angle of view so that a main object in the search area is included in an imaging angle of view.

This document describes various techniques for automatically annotating shapes for AI systems and applications. The systems and methods described here can utilize a pipeline configured to generate annotations for shapes, such as three-dimensional forms, using different types of captions. For example, image data representing the shapes, data describing the shapes, and / or data defining an annotation format can be input into one or more multimodal language models. These multimodal language models can then be configured to process the data and, based on at least this processing, generate short and long captions associated with the shapes. These captions can then be stored in conjunction with the shapes and / or images.In some examples, embeddings can first be generated for the image captions, with the embeddings then being saved in conjunction with the shapes and / or the images.

The present application provides a cache memory applied to three-dimensional graphics depth testing, including: a Cache control unit, a secondary Cache RAM storage body, a primary high-speed Cache, a data positioning unit, and a dynamic allocation unit; wherein, the Cache control unit allocates storage addresses and controls Cache Lines; the secondary Cache RAM storage body stores secondary Cache Lines; the primary high-speed Cache caches primary Cache Lines; the data positioning unit determines the position of depth data in a Cache Line; the dynamic allocation unit dynamically allocates testing tasks. By combining two levels of caches with different rates, the response speed of the Cache is increased, the read / write latency is reduced, and the throughput is increased. It is ensured that when the Cache is hit, only one depth data read request is sent, and multiple associated depth data can be returned simultaneously within one clock cycle.

The invention relates to the technical field of artificial intelligence, and discloses a packaging carton drawing automatic design method and system, which comprises a target object information input module, a packaging carton automatic design module, a design size information output module, a manufacturing size correction analysis module, a three-dimensional graph conversion matching module and a matching result output module. Target object information input by a user is received, the type of the carton is determined, the internal size design unit establishes a size calculation mathematical model to calculate the internal size of the packaging carton, and the external size design unit obtains the external size of the packaging carton based on the internal size of the packaging carton calculated by the internal size design unit. By manufacturing a size correction model, performing correction analysis on the internal size and the external size of the packaging carton, generating a three-dimensional graph and performing matching processing on the graph, the automatic design method quickly adjusts design parameters according to different design requirements, and generates diversified design schemes.

Techniques for providing graphic overlays on live videos using a depth machine learning (ML) model are described. According to some examples, a computer-implemented method includes receiving a live stream of a sporting event; determining a mapping of a playing surface of the sporting event depicted in the live stream to a frame of the live stream; generating, by a machine learning model, a depth map indicating a corresponding depth for an individual player of a plurality of players depicted in the frame based at least in part on an input of the mapping and an indication of the plurality of players depicted in the frame; and inserting a graphic into the frame of the live stream based at least in part on the depth map.

The present invention relates to a method and a system for generating a stereoscopic effect, which comprise: setting a plurality of geometry points on the surface of 3D graphic geometry; determining the degree of deformation of a portion of the geometry corresponding to each geometry point on the basis of a normal vector at each geometry point and / or the shortest distance between each geometry point and the silhouette of the geometry; and deforming the portion of the geometry over time on the basis of the determined degree of deformation so as to create the illusion of depth, and thus a natural and effective stereoscopic effect is generated even in scenes where dynamic geometry and cameras are used.

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 application relates to the technical field of three-dimensional model, and discloses a three-dimensional model curved surface unfolding method and device, electronic equipment and a storage medium; the method comprises the following steps: determining n intersection points of the circular hole and the circular-arc wall curved surface, wherein n is an integer greater than 1; determining the arc length of each intersection point to the same elevation of a first reference line of the circular-arc wall curved surface based on the n intersection points; displaying the n intersection points on a two-dimensional plane by taking the arc length of each intersection point as an x value and taking the distance of each intersection point from a second reference line of the circular-arc wall curved surface as a y value; and generating an edge line of the intersection of the circular hole and the circular-arc wall curved surface based on the n intersection points. The application realizes the conversion of the three-dimensional graphic data information of the circular-arc wall and the hole on the wall into a two-dimensional drawing form.

The present application relates to the technical field of image data processing, and discloses a dangerous chemical product stacking safety distance detection method adaptable to different illumination conditions, which extracts feature points by using a machine learning algorithm, and does not involve using experience to specify what kind of point is a feature point in the feature point extraction process. The method can be used under low illumination or even infrared camera, and cannot successfully extract feature points due to not considering low illumination like traditional experience algorithms. The method overcomes the problem that irrelevant points are also extracted when machine learning is used to extract feature points, so that subsequent three-dimensional reconstruction work will not be caused by the existence of irrelevant points, and the reconstructed three-dimensional graphics is inconsistent with the real shape.

The invention provides a steel bar collision checking and automatic deviation rectifying method based on a three-dimensional graphic platform, and relates to the technical field of constructional engineering, the method comprises the following steps: obtaining a target position of a reserved truss steel bar in a lower prefabricated slab of a prefabricated composite floor slab and an initial arrangement scheme of a bidirectional steel bar in an upper cast-in-place layer; setting the target position to avoid hard constraint, performing reinforcement collision detection on the two-way reinforcement in the initial arrangement scheme and the reserved truss reinforcement through a constraint model, and extracting position information of the two-way reinforcement related to the collision after the collision is detected; generating a path avoiding scheme according to the position information; iterating the avoidance path scheme through a constraint model to generate a target avoidance path meeting a constraint condition; and according to the target avoiding path, the initial arrangement scheme is adjusted, and a target arrangement scheme of the two-way steel bars in the upper cast-in-place layer of the prefabricated composite floor slab is generated. The technical effect of the invention is that misjudgment of collision detection is reduced.

To provide a 3D CAD and spreadsheet software which allow for understanding a phenomenon by quantizing the phenomenon and making the phenomenon three-dimensional and allow for deepening understanding of a more abstruse and complicated phenomenon.SOLUTION: A method for displaying a three-dimensional graph includes drawing a circle with a radius R with an origin O as a center in a plane including an X axis and a Y axis of Cartesian coordinates, setting a point Op (0, 0, p) and equally dividing the circle and a segment from the origin O to the point Op by N, and properly setting N, p, and r. When an n-th measured value is denoted as Kn, coordinates (r.Kn.cos(2π.n / N), r.Kn.sin(2π.n / N), p.n / N) of arbitrary data Dn to be inputted are calculated by spreadsheet software, and the data is read in. When a point adjacent to the point Dn is denoted as a point D(n+1) and an N-th point from the point Dn is denoted as D(n+N) and a point having coordinates (0,0,p.n / N) is denoted as On, a segment from On to Dn, a segment from Dn to D(n+1), and a segment from Dn to D(n+N) are automatically plotted.SELECTED DRAWING: Figure 7