135 results about "Geometry processing" patented technology

The invention provides a safety coefficient prediction method based on slope three-dimensional finite element analysis and application, and relates to the field of hydraulic geotechnical engineering. Comprising the following steps: inputting a finite element grid, and calculating a geometric topological relation of the three-dimensional finite element grid; the method comprises the following steps: inputting position information and mechanical parameters of a bottom sliding surface and a side sliding surface of a possible sliding block, calculating to obtain a description equation of the possible sliding block, performing cutting calculation by utilizing a sliding surface equation and geometry of a finite element grid to obtain polygons of a boundary surface of the sliding block, decomposing each polygon into triangular grids, and analyzing a stress result based on a slope finite element to obtain a stress result of the boundary surface of the possible sliding block. Calculating stress values of triangular mesh nodes of the boundary surface through line interpolation; integration is carried out on the sliding force and the anti-sliding force of the boundary surface, and the safety coefficient of the possible sliding block body is calculated; according to the method, efficient intersection of the sliding surface and the finite element grid is achieved, geometric processing efficiency is improved, calculation efficiency and calculation accuracy are improved, and the method is suitable for three-dimensional irregular sliding block analysis in the fields of water conservancy, mines and the like.

A video compression system and method integrates geometric compression with cognitive understanding through a persistent cognitive machine interface. The system employs a hierarchical encoder generating multi-scale compressed representations organized within a Lorentzian manifold structure. A geometric processor maintains temporal causality through time-like geodesics and light cone constraints while organizing video content according to semantic relationships. A cognitive interface creates thought bundles as navigable submanifolds, enabling semantic access to compressed content beyond traditional temporal indexing. The system supports real-time processing through progressive refinement, streaming coarse representations immediately while adding detail in parallel. Symbolic anchors mark semantically significant points, enabling concept-based navigation through compressed video. Federated learning capabilities allow distributed systems to share geometric patterns while preserving content privacy. The architecture enables improved compression ratios while maintaining both temporal causality and semantic navigability, transforming video from sequential media into an intelligently accessible information space.

The invention provides a rendering system, a chip, equipment and a rendering method applied to the rendering system, and relates to the technical field of image rendering. The rendering system comprises a rendering pipeline manager, a middle buffer area, M geometric processing pipelines and N pixel processing pipelines, wherein a plurality of data segments divided from an input data stream of the rendering system are allocated to M geometric processing pipelines for processing, and primitive data obtained by processing each data segment is stored in a middle buffer area; the rendering pipeline manager is used for acquiring serial numbers and memory information of the data segments processed by the geometric processing pipeline; the rendering pipeline manager is further used for sending rendering instructions to the N pixel processing pipelines respectively, the rendering instructions comprise the serial numbers and the memory information of the k data segments, k is an integer larger than or equal to 1, and the serial numbers of the k data segments are continuous under the condition that k is larger than 1. According to the method, the image rendering efficiency is improved.

Embodiments of the present application disclose a geometry processing method and apparatus, a device, a storage medium, and a program product. The method is applied to a multi-GPU core system. The method comprises: on the basis of the number of tasks and a task size, configuring a plurality of GPU cores as one or more core groups; and by means of a core in one core group, executing a geometry processing task corresponding to the core group in parallel, wherein one core group comprises one or more cores, and one core group executes one geometry processing task.

The invention provides a ship collision monitoring and early warning method and system for dams and navigation facilities, and relates to the technical field of shipping traffic. The method comprises the following steps: respectively acquiring images, messages and radar point cloud data through a camera, a ship automatic identification system and a millimeter wave radar at a main monitoring point and an auxiliary monitoring point, projecting the radar data to an image plane to form a radar image after time-space synchronization processing, sending the radar image to a ship identification network, and identifying a two-dimensional surrounding frame and a type of a ship; then, obtaining a three-dimensional bounding box and a type of the ship by utilizing epipolar geometric processing, comparing the three-dimensional bounding box and the type with message data, and issuing third-level early warning when the three-dimensional bounding box and the type are inconsistent with the message data or no related type exists; meanwhile, the future navigational speed and course of the ship are predicted according to a plurality of three-dimensional bounding boxes of the ship, and if the future navigational speed and course exceed a set threshold value or the risk of impacting a dam exists, secondary early warning is issued; if the ship triggers third-level and second-level early warning at the same time, first-level early warning is issued. According to the scheme, the accuracy of early warning and the completeness of an early warning mechanism can be greatly improved.

The invention provides a two-stage automatic appliance generation method and device based on tooth edge enhancement and a readable storage medium thereof, and belongs to the field of oral medicine digitization. According to the method, jaw pad generation is converted into a point cloud completion task, upper and lower jaw point clouds are preprocessed and then input into a point cloud completion network, appliance point clouds are generated through a coarse-to-fine stage, an interference area is removed through surface reconstruction, lower jaw line enhancement and Boolean difference operation, and a personalized appliance model is generated. Through combination of deep learning and geometric processing, manual operation is reduced, the precision, efficiency and standardization degree of jaw pad generation are improved, and the problem that an existing digital technology depends on manual boundary sketching is solved.

The invention discloses a target detection pre-labeling method based on a fast algorithm, and relates to the technical field of computer vision and geometric processing, and the target detection pre-labeling method based on the fast algorithm comprises the following steps: S1, data acquisition and preprocessing; and the collected image data is transmitted to a cloud data center in real time through wireless transmission. According to the target detection pre-labeling method based on the fast algorithm, image information can be locked and recognized more accurately through operation of two times of pre-labeling, so that the collected image information can be recognized and screened more accurately, a certain workload can be reduced for subsequent manual auditing and correction, and the accuracy of target detection and pre-labeling is improved. And meanwhile, it is also ensured that the pre-labeling model can carry out accurate labeling processing on a relatively fuzzy or shielded image, and through operation of a YOLOv5 algorithm, the pre-labeling model can be more efficient and faster when carrying out image recognition.

A graphics processing unit (GPU) and method for processing primitives using a rendering space subdivided into a plurality of tiles are described herein. The GPU includes geometry processing logic that includes a plurality of geometry pipelines and a block back-end module. The geometry pipeline is configured to receive a batch of primitives of the sequence of primitives. Each of the geometric pipelines includes: one or more geometric processing modules configured to perform one or more geometric processing functions on the primitives in a batch of primitives received at the geometric pipeline; and a tile front-end module configured to determine, for each tile in a set of one or more tiles, one or more tile-primitive indications, the one or more tile-primitive indications indicate which of the primitives of the batch of primitives received at the geometric pipeline are present within the tile.

Systems and methods to efficiently get precision geometry for a graphic object on a thin client application such as running on a browser or hand-held device. Specifically, a Precision Geometry Client running on a client device sends requests to a corresponding Precision Geometry Service running on a server system to obtain precision geometry primitives that the client device, thereby offloading the processor-intensive precision geometry processing from the client to the server system.

The invention discloses a clinical operation data analysis method based on virtual reality, and belongs to the field of virtual reality technology and medical skill training. Comprising the following steps: constructing a high-dimensional interaction data tensor covering space-time sequence features; establishing a three-dimensional space topological relation graph based on medical scene understanding, mapping various clinical operation skills into a three-dimensional model interaction sequence of a virtual medical device and an anatomical structure, and generating a multi-dimensional operation behavior feature vector matrix; virtual instrument operation sequence fragments with abnormal interaction efficiency or operation track deviation are identified, and dynamic loading priority weights of virtual medical scene resources are determined according to the virtual instrument operation sequence fragments; when the rendering frame rate of the virtual scene is lower than a specified threshold value, generating early warning information; and in a double-layer adaptive medical scene rendering optimization process, identifying performance bottleneck nodes and geometric processing conflicts in a three-dimensional rendering pipeline, and carrying out dynamic shader scheduling and model detail automatic switching according to a priority rule.

Some embodiments of a method may include a learning-based point cloud geometry processing block method, the method including: accessing a first feature map, wherein the first feature map has a quantity of C channels and is an input to the processing block, and wherein the first feature map is generated by a first set of neural network layers; accessing a set of distribution parameters; transforming the first feature map to a second feature map based on the set of distribution parameters; and encoding the second feature map into a bitstream. These example processes may be applicable to both the encoder and the decoder of an AI-based point cloud compression (PCC) framework.

The invention relates to a method (50) comprising the steps of: - using a sensor to acquire (110) an image of the sample composed of grains; - applying (120), to the image (1), a convolutional neural network in order to obtain a contour map (C) associating, with each pixel of the image, a value equal to one unit when that pixel belongs to a contour of a grain and otherwise equal to zero; - applying (130), to the contour map (C), a segmentation algorithm in order to obtain a segmented image (S) comprising a plurality of regions, one region being separated from a neighbouring region by a contour having a thickness of a single pixel; and - applying (140), to the segmented image (S), one or more geometric processing operations in order to calculate physical quantities for each grain so as to characterise the lithology of the sample (3).

Systems and methods to efficiently get precision geometry for a graphic object on a thin client application such as running on a browser or hand-held device. Specifically, a Precision Geometry Client running on a client device sends requests to a corresponding Precision Geometry Service running on a server system to obtain precision geometry primitives that the client device, thereby offloading the processor-intensive precision geometry processing from the client to the server system.

The invention discloses a geometric processing method and system, a processor, equipment, a medium and a product, and the method comprises the steps: carrying out the first-stage geometric processing of a to-be-processed first vertex, and obtaining a second vertex; performing second-stage geometric processing on the second vertex to obtain data after geometric processing; wherein the geometric processing of the first stage is used for removing the vertexes, which do not need to be subjected to coloring processing, in the first vertexes based on a primitive removal mode, so as to obtain second vertexes; the geometric processing of the second stage is a geometric processing process aiming at the second vertex, and the geometric processing of the first stage lacks the coloring processing compared with the geometric processing of the second stage. Based on the embodiment provided by the invention, the overall performance of geometric processing can be optimized by combining staged vertex elimination and coloring processing.

The invention provides a graphic processing method and device, electronic equipment and a storage medium, the method is applied to the electronic equipment, the electronic equipment comprises a plurality of graphic processing modules and a storage module, and for any graphic processing module, the method comprises the following steps: under the condition that the graphic processing module receives a drawing instruction, the graphic processing module sends the drawing instruction to the electronic equipment; according to the mapping serial number of the graphic processing module, fragment entry information of a to-be-processed first vertex fragment of the graphic processing module is read from the storage module, and the fragment entry information comprises a fragment starting position, a fragment ending position and splitting state information; acquiring a first vertex fragment according to the fragment starting position and the fragment ending position; performing primitive splitting on the first vertex fragment according to the primitive topological information and the splitting state information of the first vertex fragment, and determining a first primitive splitting result; and performing geometric processing on the first primitive splitting result to obtain a primitive processing result of the first vertex fragment. The embodiment of the invention can improve the overall processing efficiency of the system.

The application relates to the technical field of integrated circuit design and verification, in particular to a service test system for a texture block level, which generates a plurality of accurate controllable screen coordinates through a simulation geometry processing module and a simulation rasterization module and provides the screen coordinates to a texture processing module, so that the texture processing module can independently verify the logic of texture processing based on the generated screen coordinates, the reliability of the texture processing module does not need to be tested through system-level verification for service testing, the test requirement is lowered to the texture block level, thus the workload of system-level testing can be saved, the influence of problems of other modules on the texture processing module testing is avoided, the test difficulty is reduced, and the test efficiency and problem positioning accuracy of the texture block level service test are improved.

The present invention relates to the field of computer simulation technology, and specifically to a composite material ply dropout design and finite element modeling method, comprising the following steps: S1: obtaining the geometric surface and ply information of all ply regions of a composite material part through a CATIA interface and storing the information as a region list; S2: utilizing the CATIA geometry processing capabilities and interface to quickly generate ply dropout lines on the geometry of these regions and display ply dropouts. The present invention utilizes the interface capabilities of CATIA and HyperMesh to read composite material ply region information, automatically generate and display dropout lines, and automatically create finite element models, effectively solving the problems of low efficiency and poor accuracy in traditional design and modeling. It can quickly and accurately complete composite material ply dropout design and finite element modeling, significantly improving the quality and efficiency of composite material structure design.

The present disclosure provides a graphics processing method, apparatus and system, a computing device, and a storage medium. The method is executed by a topology splitting module in a target graphics processing core, and comprises: acquiring a graphics drawing command, the graphics drawing command indicating that a graphic having a specified topology type is to be drawn; on the basis of the graphics drawing command, acquiring vertex index data required for drawing the graphic; on the basis of the specified topology type, dividing the vertex index data into primitive packets according to index order, to determine a primitive packet to be processed by the target graphics processing core, and inserting a corresponding synchronization marker; transmitting the primitive packet to be processed by the target graphics processing core and the corresponding synchronization marker to a geometry processing pipeline module in the target graphics processing core for processing, to obtain a geometry processing result having the synchronization marker, wherein the geometry processing result having the synchronization marker is processed by a pixel processing pipeline module in the target graphics processing core to obtain a visual graphic.

The application discloses a graphics processor, a primitive output method, a chip, a server and electronic equipment, and belongs to the chip field.The graphics processor comprises a geometry processing pipeline;the geometry processing pipeline is used for performing graphics drawing based on a first drawing instruction to obtain a drawing result, the drawing result comprising primitive data of at least two primitive types, the at least two primitive types comprising at least two of points, lines and triangles, and the first drawing instruction being used for instructing the geometry processing pipeline to realize the function of geometry processing in a grid shading rendering pipeline.In the application, the primitive data of multiple primitive types can be obtained by only one drawing instruction, the performance of the graphics processor is saved by avoiding repeated drawing by multiple drawing instructions to obtain the primitive data of multiple primitive types.

A method of rendering, in a rendering space, a scene formed by primitives in a graphics processing system. A geometry processing phase includes the step of storing fragment shading rate data representing a first fragment shading rate value and associating data identifying a primitive with the fragment shading rate data. A rendering phase includes the steps of retrieving the stored fragment shading rate data and associated data identifying the primitive, obtaining an attachment specifying one or more attachment fragment shading rate values for the rendering space; processing the primitive to derive primitive fragments to be shaded; and for each primitive fragment, combining the first fragment shading rate value for the primitive from which the primitive fragment is derived with an attachment fragment shading rate value from the attachment to produce a resolved combined fragment shading rate value for the respective fragment.

The invention discloses a real-time 3D scene modeling system based on physical rendering. The real-time 3D scene modeling system comprises a scene data acquisition module, a geometric processing and reconstruction module, a material attribute extraction and processing module, a dynamic illumination acquisition and analysis module, a real-time physical rendering engine module and a rendering output and post-processing module. Real-time scene geometry and material data capture, physical law-based material and illumination model construction and an efficient real-time rendering engine are integrated, an image with a high physical reality sense is output on the premise that the interaction frame rate is kept, the system can automatically or semi-automatically process real world scene information, and the real world scene information processing efficiency is improved. According to the method, the three-dimensional content is converted into a digital model with rich physical attribute description, and an optimized real-time physical rendering algorithm is used for drawing, so that the visualization quality and immersion of real-time application are greatly improved, the dependence on manual adjustment of professional art designers is reduced, and the production efficiency and the automation degree of the three-dimensional content are improved.

When executing a tile-based graphics processing pipeline, one or more geometry processing stages of a sequence of one or more geometry processing stages of the graphics processing pipeline generate packets storing data for geometry to be processed. A binning stage generates one or more data structures that can be used to determine whether packets should be processed for a rendering tile, and a rendering stage uses the data structures generated by the binning stage to identify packets to be processed for respective rendering tiles. For at least some packets that have been determined as needing to be processed further for a rendering tile, further geometry processing is performed for the packets, and the result of the further geometry processing is used when processing the packets for the rendering tile.

The invention discloses a processor, a drawing method, a chip and electronic equipment, and belongs to the field of chips. The processor comprises a task generation unit, at least two parallel geometric processing assembly line units, an output rearrangement unit and a pixel processing assembly line unit. The task generation unit is used for splitting a received drawing instruction into a plurality of task packages and distributing the plurality of task packages to one or more geometric processing pipeline units in the at least two geometric processing pipeline units; the geometric processing assembly line unit is used for processing the received task package to obtain a coloring result and outputting the coloring result to the output rearrangement unit; and the output rearrangement unit is used for sorting the plurality of coloring results corresponding to the plurality of task packages according to the distribution sequence of the plurality of task packages, and outputting the sorted plurality of coloring results to the pixel processing assembly line unit behind the geometric processing assembly line unit. The processor can improve the drawing efficiency.

The embodiment of the invention discloses a geometry processing method, a processor, equipment, a device, a storage medium and a product, which are applied to a primitive distribution module in a graphics processor, and the graphics processor further comprises a first pipeline and at least two second pipelines. The method comprises the following steps: acquiring a to-be-processed primitive output by a first pipeline and an accumulated processing vertex number of a shader in each second pipeline; each second pipeline comprises a curved surface subdivision unit and a shader, and the shader is used for processing a vertex after the curved surface subdivision unit performs curved surface subdivision on the to-be-processed primitive; determining the second pipeline meeting a preset load balancing condition from the at least two second pipelines as a target second pipeline according to the accumulated processing vertex number of the shader in each second pipeline; and distributing the to-be-processed primitives to the target second pipeline to indicate the target second pipeline to process the to-be-processed primitives. Through the method, the geometric processing performance of the graphics processor can be improved.

The present disclosure provides a graphics processor, a graphics processing method, a multi-core graphics processing system, an electronic device, and an electronic equipment. The graphics processor includes: a geometry processing module configured to perform geometry processing on the primitives assigned to the present graphics processor; a tile division module configured to perform tile division processing on the primitives assigned to the present graphics processor, save the tile information of each obtained tile to the first tile list of each corresponding tile of the present graphics processor respectively, save the indexes of the first tile lists of each tile to the second tile list of each tile, and save the indexes of the first tile lists corresponding to the multiple graphics processors of the multi-core graphics processing system in the second tile list of the tile.

The present disclosure relates to a geometry processing system, comprising: a vertex cache module, configured to: perform a hit test based on a cache for each vertex index in a vertex stream, and store missed vertex indices in the cache; send the vertex indices in the cache to a vertex processing pipeline; the vertex processing pipeline, configured to: process vertices represented by the received vertex indices, and store the obtained vertex processing data in a vertex memory; a primitive assembly pipeline, configured to: obtain a mapping relationship between vertex indices and vertex processing indices in a vertex stream; determine a plurality of primitives based on the vertex stream; send the plurality of primitives to the primitive processing pipeline; the primitive processing pipeline, configured to: perform primitive processing based on vertex processing data corresponding to each primitive, wherein the vertex processing data corresponding to each primitive is obtained from the vertex memory based on a vertex processing index corresponding to the vertex index corresponding to the primitive determined according to the mapping relationship.

The application relates to the technical field of CAE preprocessing and cloud cooperation, and discloses a lightweight CAE geometry engine and a cloud real-time cooperation method and system. A cloud server acquires an original CAE geometry model, performs topological simplification and data compression on the original CAE geometry model, and generates a lightweight geometry data file containing multiple resolution levels; the cloud server pushes the received difference data packet to other online cooperation terminals; the other cooperation terminals parse the unique version number carried by the difference data packet through a locally loaded WebAssembly geometry engine module, and perform operation replay updating on the local geometry model according to the differential data contained in the difference data packet. According to the scheme, the original CAE model data volume is reduced by 90%-95%, the WebAssembly engine realizes a 100,000-face model rendering frame rate of 30-60 fps, and the operation response delay is less than or equal to 100 ms, thereby breaking through the performance bottleneck of browser-side geometry processing.

The invention discloses an LBM fluid design optimization method based on curvature adaptive voxel mapping and turbulence correction. The method comprises the following steps: step 1, constructing a system; 2, carrying out initial geometric processing; step 3, generating a curvature self-adaptive voxel; 4, turbulence correction LBM is solved; 5, closed-loop optimization design is carried out; according to the method, simulation is directly carried out on the voxel structure, so that a tedious grid division step is omitted, and the modeling and simulation process integration level is improved. Modeling, simulation and optimization are completed in one platform, a data closed loop is opened, and the design iteration efficiency is remarkably improved. The lattice Boltzmann algorithm accelerated by the GPU is adopted, rapid calculation of million-level voxels is supported, and the simulation time is shortened. By means of the curvature self-adaptive grid technology, the number of invalid calculation units is reduced by 30%-50%. For example, in NASA centrifugal pump simulation (2 million voxel scene), a traditional standard LBM method needs the calculated amount of 1580,000 core hours, while the method only needs 620,000 core hours, and the speed-up ratio reaches 2.55 times.

This disclosure provides a cross-platform parametric design method, apparatus, device, medium, and program, relating to the field of computer technology. The method includes: acquiring parametric design data from a first application software, the parametric design data including a geometric model file generated by the first application software and a corresponding parameter configuration file; inputting the parametric design data into a pre-built two-layer processing framework consisting of a geometry processing layer based on an OCCT geometric kernel and a scene description layer based on a USD format, used to map parameters in the parametric design data to geometric entities and encapsulate them into USD assets containing parametric feature information; outputting the USD assets to a second application software, enabling the second application software to modify parameters based on the parametric feature information in the USD assets, and triggering the two-layer processing framework to perform geometric reconstruction and synchronization of the modified parameters. This disclosure realizes cross-platform application of parametric design data and improves parametric design efficiency.

The present application relates to a kind of linear array swing scan type optical satellite on-orbit geometric calibration method based on equivalent surface array, comprising the following steps: step 1, by image matching or artificial measurement method, from high-precision digital orthophoto map and digital elevation model, obtain the ground control point on the single pendulum satellite image;Step 2, according to the geometric relationship between the rotating scanning mirror, motion compensation mirror and linear array CCD in satellite imager and its imaging process, construct linear array swing scan type optical satellite geometric calibration model based on equivalent surface array;Step 3, using ground control point, solve linear array swing scan type optical satellite geometric calibration parameter.The present application can realize linear array swing scan type optical satellite high-precision on-orbit geometric calibration, thereby providing support for linear array swing scan type optical satellite image high-precision geometric processing.