209 results about "Geometry processing" patented technology

The embodiment of the invention discloses a primitive distribution method and device, equipment and a storage medium, the method is applied to a graphics processor, and the method comprises the steps that at least one piece of primitive group data sent by a primitive distribution module is output to a corresponding partitioning device through a geometric processing pipeline; the primitive group data comprises multiple pieces of to-be-distributed data with a distribution sequence; distributing a plurality of pieces of data to be distributed in each piece of primitive group data based on the distribution sequence through each partitioning device, and generating a polygon list of each graph block; the polygon list comprises distributed data corresponding to the blocks; and for each image block, acquiring distributed data corresponding to the image block from each polygon list corresponding to the image block through a rasterization processing pipeline so as to perform rasterization processing on the image block.

The present disclosure relates to a geometry processing system, comprising: a vertex cache module configured to: for each vertex index in a vertex stream, perform a hit test based on a cache, and store missed vertex indexes into the cache; sending the vertex index in the cache to a vertex processing pipeline; the vertex processing pipeline is configured to process the vertex represented by the received vertex index and store the obtained vertex processing data into a vertex memory; the primitive assembly line is configured to obtain a mapping relation between a vertex index and a vertex processing index in the vertex flow; determining a plurality of primitives based on the vertex stream; sending the plurality of primitives to a primitive processing pipeline; the primitive processing pipeline is configured to execute primitive processing based on the vertex processing data corresponding to each primitive, and the vertex processing data corresponding to each primitive is obtained from the vertex memory based on the vertex processing index corresponding to the vertex index corresponding to the primitive determined according to the mapping relation.

The invention discloses a graphics processor, a graphics drawing method, a chip and electronic equipment, and belongs to the field of chips. The graphics processor comprises a geometric processing pipeline, and the geometric processing pipeline is used for realizing the functions of an amplification shader and a grid shader; the geometric processing pipeline comprises a first task generation pipeline used for creating an amplification shader thread group; the shader execution unit is used for operating the amplified shader thread group to obtain an amplified coloring result and a second drawing instruction; the task control unit is used for inputting the second drawing instruction into the second task generation assembly line; the second task generation pipeline is used for creating a grid shader thread group based on the second drawing instruction; the shader execution unit is used for operating the grid shader thread group and obtaining a grid coloring result based on the amplified coloring result; and the task control unit is used for outputting a grid coloring result. The invention provides a geometry processing pipeline supporting a grid shader and an amplification shader.

The invention discloses a graphics processor, a graphics drawing method, a chip and electronic equipment, and belongs to the field of chips. The graphics processor comprises a geometric processing assembly line, and the geometric processing assembly line comprises a first task generation assembly line, a task control unit, a second task generation assembly line and a task execution unit. The task control unit is used for acquiring a first coloring result based on the received first task information in the single-pipeline mode, and outputting the first coloring result to a pipeline behind the geometric processing pipeline; and acquiring a first coloring result based on the received first task information in the double-pipeline mode, and controlling the first coloring result to enter a second task generation pipeline, and based on the received second task information, obtaining a second coloring result, and outputting the second coloring result to an assembly line behind the geometric processing assembly line. According to the geometric processing pipeline, geometric processing parts of different rendering pipelines can be combined into the same data stream.

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 tile-based graphics processor performs first and second processing passes to generate a render output. The first processing pass generates data that is used in the second processing pass to determine which primitives to process for which rendering tiles. The first processing pass is performed by a geometry processing control unit assembling primitives, and one or more programmable processing units transforming geometry data defining the primitives, and processing the transformed geometry data to generate the data.

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 discloses a graphics processor, a primitive output method, a chip, a server and electronic equipment, and belongs to the field of chips. The graphics processor comprises a geometric processing pipeline; the geometric processing pipeline is used for executing graph drawing based on the first drawing instruction to obtain a drawing result, the drawing result comprises primitive data of at least two primitive types, and the at least two primitive types comprise at least two of points, lines and triangles; the first drawing instruction is used for indicating the geometric processing pipeline to realize a geometric processing function in the grid coloring rendering pipeline. According to the method and the device, the primitive data of the multiple primitive types can be obtained only through one drawing instruction, the situation that the primitive data of the multiple primitive types can be obtained only through repeated drawing of multiple drawing instructions is avoided, and the performance of the graphics processor is reduced.

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 geometric processing pipeline, a graphic processing core, a processor and a vertex caching method, and belongs to the field of chips. The geometric processing pipeline comprises a vertex cache unit with a vertex index cache, a vertex processing pipeline, and a vertex storage and primitive pipeline unit. According to the geometric processing assembly line disclosed by the invention, the vertex cache test of the vertex granularity is realized, the primitives obtained by primitive assembly do not need to be relied on any more, and the geometric processing assembly line of a distributed architecture for delaying primitive assembly is favorably realized.

The invention provides a city-level three-dimensional data updating method and related equipment based on a digital twinborn visualization engine, and the method comprises the steps: drawing a three-dimensional data region needing to be updated through the digital twinborn visualization engine for a virtual city three-dimensional space; performing conversion among different coordinate systems on the three-dimensional data area so as to align spatial positions of three-dimensional tile data and base plate data in the three-dimensional data area; performing geometric processing on nodes of the three-dimensional tile data to recombine geometric data in the nodes; in the specified LOD hierarchy, data updating is carried out on all related nodes in the specified LOD hierarchy based on updating operation on the three-dimensional data area; after the specified LOD hierarchy completes data updating processing, other LOD hierarchy is analyzed layer by layer, and full-range data updating is carried out; and storing the updated three-dimensional tile data in an object storage library and loading an application. According to the invention, rapid and flexible local updating on the three-dimensional base plate is realized.

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 system for generating a rendering output includes geometry processing logic having first transformation logic configured to transform a plurality of untransformed primitives into a plurality of transformed primitives, the first transformation logic configured to implement one or more expansion transformation stages which generate one or more sub-primitives; a primitive block generator configured to divide the plurality of transformed primitives into a plurality of groups; and generate an untransformed primitive block for each group comprising (i) information identifying the untransformed primitives related to the transformed primitives in the group; and (ii) an expansion transformation stage mask for at least one or more expansion transformation stages that indicates the sub-primitives generated for the untransformed primitives in that untransformed primitive block used in generating the rendering output. Rasterization logic includes second transformation logic configured to re-transform the plurality of untransformed primitives into the plurality of transformed primitives on an untransformed primitive block-basis in accordance with the expansion transformation stage mask for the one or more expansion transformation stages; and logic configured to render the transformed primitives to generate the rendering output.

The invention belongs to the technical field of computer graphics geometric processing, and particularly relates to an anisotropic triangular mesh generation method, which comprises the following steps of: acquiring triangular mesh data of an object model, and expanding the triangular mesh data from a three-dimensional space to a two-dimensional plane by adopting a mesh parameterization method; based on the expanded triangular mesh data, inputting the set data of each vertex into a trained deep neural network model to obtain an anisotropy measurement parameter and a predicted sampling point coordinate of each vertex; constructing an ACVT energy function according to the anisotropy measurement parameters and the predicted sampling points, and minimizing the ACVT energy function to obtain optimized triangular grid data on a two-dimensional plane; mapping the optimized triangular mesh data from a two-dimensional plane to a three-dimensional space through barycentric coordinates; the method can guarantee the quality of the generated grid and improve the operation efficiency at the same time.

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 present application relates to a palm contour extraction method, device, computer equipment, storage medium and computer program product. The method comprises: obtaining the skeletal point positions and skeletal point types corresponding to each palm skeletal point in the target palm image; matching each palm skeletal point based on the skeletal point type to obtain multiple palm skeletal point sets; the palm skeletal point set has a corresponding geometric processing type; based on the skeletal point positions corresponding to each skeletal point in the palm skeletal point set, generating a palm contour auxiliary line matching the geometric processing type corresponding to the palm skeletal point set; based on the reference step and skeletal point positions corresponding to the same palm skeletal point set, determining the palm contour points from the palm contour auxiliary lines corresponding to the palm skeletal point set to obtain the contour point positions corresponding to the palm contour points; generating the palm contour corresponding to the target palm image based on each contour point position. The method can improve the accuracy of palm contour extraction.

The present application discloses a geometry processing method and apparatus, a device, a storage medium, and a program product. The geometry processing method comprises: each primitive distribution unit acquires primitive cluster data in a geometry data stream, wherein the primitive cluster data comprises a first label used for determining the sequence of the primitive cluster data in the geometry data stream; the primitive distribution unit further divides the primitive cluster data into primitive group data, and distributes the primitive group data to corresponding geometry processing pipelines; the geometry processing pipelines process the primitive group data to obtain primitive group processing results, and output the primitive group processing results to a corresponding merging arbiter; and the merging arbiter performs merging processing on the primitive group processing results on the basis of a second label, so as to obtain geometry output data corresponding to the primitive cluster data.

The invention relates to the technical field of computer graphics, computational geometry and CAE (computer aided engineering) simulation, and discloses a fillet surface identification method, device and equipment based on a geometric model and a medium, the method comprises the following steps: carrying out virtual geometric processing on edges of all surfaces in the geometric model to obtain transition edges on an identification surface; determining the identification surface conforming to the surface fillet features as a transition surface; two connecting surfaces connected with the transition surface are selected, the two connecting surfaces are connected with the two ends of the transition edge respectively, the two connecting surfaces conforming to supporting surface features are determined to be a first supporting surface and a second supporting surface respectively, and the supporting surface features are unique features of the two supporting surfaces in fillet surface transition connection; and determining that a transition surface enabling the first supporting surface and the second supporting surface to be in smooth transition is a fillet surface. According to the fillet surface recognition method, the fillet surface in the geometric model can be quickly recognized only through the information of the edge, the recognition process is greatly accelerated, and the recognition is highly accurate.

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.