59 results about "Texture rendering" patented technology

The invention relates to the field of real-time visualization of road conditions, in particular to a data simulation visualization rendering method and system for urban traffic road conditions. The method comprises the following steps: extracting a real-time satellite streetscape image based on urban satellite remote sensing scanning, and performing scene pixel-level segmentation to obtain scene texture rendering parameters; scene illumination visual identification is carried out according to the real-time satellite streetscape image, traffic scene background modeling is carried out based on scene texture rendering parameters, and a real-time scene background model is constructed; the method comprises the following steps: acquiring urban-level multi-source traffic monitoring data flow, performing vehicle state sensing, and constructing a multi-dimensional particle feature matrix; road network topological correlation analysis and global traffic network state perception are carried out according to the real-time satellite streetscape images, and a road network state perception model is constructed. According to the invention, a real real-time traffic environment is visualized, scene effects in different traffic states are presented, the current road condition can be rapidly evaluated, and the traffic control decision efficiency is improved.

The invention relates to a robot environment perception method based on single-view three-dimensional scene generation, and the method comprises the steps: collecting a two-dimensional image containing target environment information through employing a monocular camera, generating multi-view information through combining depth estimation, normal prediction and a two-stage semantic guidance diffusion model, and constructing a high-quality three-dimensional scene. And reconstructing three-dimensional point cloud data through the neural radiation field, and performing texture rendering optimization on the point cloud data. A Point Net + + network is used for carrying out semantic analysis on point clouds, a multi-frame time sequence point cloud registration and Kalman filtering tracking method is introduced, modeling is carried out on a dynamic target, and a dynamic semantic map with a motion state is constructed. And finally, structured output environment information is used for robot navigation, path planning and task execution. The problems of high cost, high complexity and insufficient real-time performance and robustness of a three-dimensional scene generation technology in the field of robot environment perception are solved, and the method is high in structuring degree, standard and unified in output format and high in universality and engineering adaptation capacity.

A system for encoding and compressing images and textures to a bitstream as an executable program of computer instructions operable on pixel space, permitting the Encoder to arbitrarily determine the order, location and method used for reconstructing the components of an image at the decoder. The bitstream is typically further compressed by an Adaptive Entropy Compressor. Bitstream execution reconstructs the image directly to pixel space. Memory management and parallel processing controls may be embedded in the bitstream. The system is optimised for AI processing of images with a universally interpretable construction format that enables machines and humans to understand precisely how the image was created and can be reconstructed. Dual bitstreams may be combined at the decoder for securely embedding customised content (e.g., advertising) at the edge.

The invention relates to the technical field of lightweight rendering, in particular to a cloud-edge coordinated point cloud model lightweight rendering processing method and system. The method comprises the following steps: performing point cloud coordination prior processing according to electric power facility point cloud data to generate coordination prior point cloud data; a point cloud rendering model is constructed, point cloud curved surface coefficient calculation and curved surface reconstruction processing are carried out, and a point cloud curved surface reconstruction rendering model is generated; obtaining image view angle data, performing rendering model pose alignment processing and model texture enhancement mapping processing, and generating an enhanced texture rendering model; performing rendering coordination lightweight deployment and lightweight real-time rendering processing on the enhanced texture rendering model to generate lightweight real-time rendering data; and obtaining user behavior data, performing point cloud data rendering feedback analysis and cloud edge coordination caching in combination with the lightweight real-time rendering data, and feeding back to the terminal. According to the method, rendering of point cloud power equipment data curved surface reconstruction can be lightened, and redundant transmission of cloud edge rendering data is reduced and coordinated.

The invention provides a texture rendering method and system, an equipment terminal and a storage medium, and the method comprises the steps: obtaining a rendering context handle and a shared texture handle, and enabling a rendering engine to call a native rendering library to create the rendering context handle; creating a rendering environment sharing textures with the rendering engine according to the rendering context handle, and creating a rendering component including a native surface view class and a native renderer in the rendering environment; calling the native surface view class, instantiating the native renderer by monitoring the life cycle of the target surface view to obtain a rendering instance, and binding the corresponding shared texture to the rendering instance according to the shared texture handle; the shared texture is rendered on the target surface view by the rendering instance. The native platform can render and use the shared texture, and the limitation of texture data sharing between a rendering engine and the native platform is broken through, so that the flexibility and expansion capability of the native platform in the aspect of picture rendering are improved.

The invention relates to the technical field of image processing, in particular to a numerical control milling machine workpiece three-dimensional modeling method and system. The method comprises the following steps: clamping a workpiece on a numerical control milling machine, controlling the workpiece to rotate at a constant speed, synchronously performing axial feeding, and collecting a correction spiral image sequence and a groove bottom image sequence; performing space-time registration on the corrected spiral image sequence and the groove bottom image sequence to extract workpiece modeling feature data; performing conversion from polar coordinates to rectangular coordinates based on the workpiece modeling feature data, resolving three-dimensional space coordinates and corresponding surface attribute values, and generating workpiece three-dimensional point cloud data; and inputting the three-dimensional point cloud data of the workpiece into three-dimensional modeling software, and carrying out gridding processing and texture rendering to obtain a three-dimensional digital model of the workpiece. According to the method, the workpiece is driven to execute self-adaptive tracking spiral motion, so that visual shielding caused by dense threads is avoided, and high-precision three-dimensional modeling of the small-helix-angle deep-groove workpiece is achieved.

This invention relates to the field of augmented reality technology and discloses an augmented reality image synthesis method based on the optical properties of pearlescent pigments. The method includes: acquiring spectral reflectance data of pearlescent pigments under different illumination and viewing angles; analyzing the spectral reflectance data to calculate color correlation metrics under multiple angle combinations, thereby determining the delay parameter for signal transmission between angles; using the delay parameter and the distribution characteristics of the spectral reflectance data within a preset time interval to derive a gloss fluctuation index of the pearlescent pigment within the time interval; combining the gloss fluctuation index and the attribute differences of the spectral reflectance data after frequency domain transformation to evaluate the synthesis interference probability at each frequency point and extract key interference frequencies; integrating the distribution patterns of all key interference frequencies to generate an image rendering error probability; and finally adjusting the texture rendering parameters of virtual objects in the augmented reality scene according to the image rendering error probability to achieve the generation and output of the synthesized image.

At least one of material IDs is changed to a different material ID for each of voxels corresponding to a voxel update range, and a display mesh is updated in association with updated voxel data. In addition, generating an in-game behavior based on collision determination between a determination mesh in which a material is determined based on at least a plurality of materials ID included in voxel data, and a determination shape corresponding to a determination target, and a virtual space including a display mesh is rendered based on vertex coordinates of the display mesh and a texture corresponding to a material for the display mesh.

This invention relates to a method, apparatus, electronic device, and storage medium for rendering terrain tile data. The method includes: acquiring a rendering request for a terrain tile to be rendered; acquiring tile data corresponding to a tile identifier, the tile data including location data and image data, based on a tile identifier; using the image data corresponding to the tile identifier as texture data of a pre-created 3D target texture; and rendering the texture data using the 3D target texture based on the location data corresponding to the tile identifier and a first correspondence. Through this method, since the image data corresponding to the tile identifier can be used as texture data of a 3D target texture, and the location data of the terrain tile can be associated with the texture coordinates of the 3D target texture, multiple terrain tiles can be rendered using a single 3D target texture. When rendering different terrain tiles, there is no need to switch texture objects, which not only ensures the smoothness of rendering but also improves rendering efficiency and GPU performance.

An example of an information processing system generates a display mesh based on voxel data. The information processing system generates a voxel update range in a virtual space, based on game processing, and updates at least one of a density and a material ID, in the voxel data, for each of voxels corresponding to the voxel update range. The information processing system updates the display mesh corresponding to the updated voxel data. The information processing system, based on collision determination between a determination mesh and a determination shape corresponding to a determination target, generates an in-game behavior according to a material of the determination mesh at a collision position. The information processing system renders a virtual space including the display mesh, based on a texture corresponding to the material of the display mesh.

A method of rendering a stereoscopic image of an object is described. The stereoscopic image comprises a left image and a right image. The method comprises initialising a computer model of the object (200) and a texture mapping for rendering the computer model with a texture. The method comprises the steps of receiving a first image of the object from a first image sensor (14a), receiving a second image of the object from a second image sensor (14b), receiving head tracking data of the observer (360), determining one or more render camera viewpoints relative to the computer model based on the head tracking data, and rendering the stereoscopic image based on the computer model and the texture mapping using the one or more render camera viewpoints, wherein the left image of the stereoscopic image is rendered using the first image as the texture and the right image of the stereoscopic image is rendered using the second image as the texture.

The invention relates to a multiband infrared adversarial sample generation method and device, equipment and a medium. The method comprises the following steps: constructing a three-dimensional model based on target real data, rendering to-be-optimized confrontation textures to the surface of the model by adopting a neural rendering technology, generating a confrontation texture three-dimensional model, processing the confrontation texture three-dimensional model by a differentiable neural renderer to obtain a two-dimensional rendered graph, and converting the two-dimensional rendered graph into grey-scale maps corresponding to short-wave, medium-wave and long-wave infrared rays. A mask is generated through semantic segmentation, a random background is superposed, an optimized sample matched with the real radiation characteristics of each wave band is generated in combination with style migration, and the target detection network feeds back iterative optimization confrontation textures and is finally arranged on the target surface to realize multi-band infrared interference detection. The method can realize full-band effective interference, is strong in robustness and high in concealment, is adaptive to various detection systems, and improves the target safety protection capability.

The invention discloses a visual language model intelligent confrontation method based on multi-modal collaboration and a related device. Inputting the rendered image rendered by the benign camouflage texture into the white-box visual language model, and maximizing the difference of different images to obtain a target antagonistic texture; inputting the adversarial image rendered by the benign text instruction and the target adversarial texture into a plurality of different visual language models to obtain a plurality of different suffixes, and screening out a target suffix which enables the total attack loss value of the plurality of visual language models to be minimum from the suffixes; inputting the target antagonistic texture and a target text instruction combined by the benign text instruction and the target suffix into a black box visual language model to obtain an error instruction; a composite threat model fusing physical deployability and digital high mobility is constructed, and a comprehensive safety test benchmark and a technical basis are provided for evaluating and improving the safety of an automatic driving visual language model.

The application provides a method and system for generating personalized music based on AI, and related equipment, the method comprising receiving a multi-modal creation request of a user, the request including one or more of a text description, an image, a video, and a humming melody; preprocessing and cross-modal semantic analysis of the multi-modal creation request to generate structured music semantic parameters; then using a structure generation model to generate a symbolic intermediate representation of information defining the structure of the musical form, harmony, and melody based on the music semantic parameters, and then rendering a multi-track audio containing specific instrument timbre and performance details through a texture rendering model conditioned on the intermediate representation; finally, adaptive mixing and mastering of the audio to output a final music file. The method of the application realizes diversified user input, controllable music structure, and automatic post-processing, thereby improving the intelligent level of personalized music production.

This application provides a road rendering method, apparatus, device, and storage medium. The method includes: acquiring road auxiliary points corresponding to each landmark point in a navigation route and the texture coordinates of the road auxiliary points; determining the texture rendering value of each road surface point based on the texture coordinates of the road auxiliary points and a predefined road surface transparency transformation relationship; and rendering the corresponding virtual navigation road based on the texture rendering value of each road surface point. The embodiments of this application can achieve single rendering of multiple effects within a virtual navigation road, eliminating the need for multiple rendering operations to overlay various road effects, simplifying the tedious steps of road rendering, and improving the efficiency and personalization of road rendering.

Provided in the present application are an application texture rendering method and apparatus, and an electronic device, a computer-readable storage medium and a computer program product. The method comprises: acquiring a target application texture resource and placeholder data of a target application, and sending the placeholder data to a second electronic device; according to a plurality of candidate compression formats, respectively compressing the target application texture resource into a plurality of candidate compressed texture resources; receiving a resource request sent by the second electronic device, wherein the resource request is sent by the second electronic device after acquiring the placeholder data, and the resource request is used for requesting a target compressed texture resource, the target compressed texture resource being obtained by using a target compression format to compress the target application texture resource; and if the target compression format is one of the plurality of candidate compression formats, acquiring the target compressed texture resource from among the plurality of candidate compressed texture resources, and sending the target compressed texture resource to the second electronic device.

An example of an information processing system generates a display mesh based on voxel data. The information processing system generates a voxel update range in a virtual space, based on game processing, and updates at least one of a density and a material ID, in the voxel data, for each of voxels corresponding to the voxel update range. The information processing system updates the display mesh corresponding to the updated voxel data. The information processing system, based on collision determination between a determination mesh and a determination shape corresponding to a determination target, generates an in-game behavior according to a material of the determination mesh at a collision position. The information processing system renders a virtual space including the display mesh, based on a texture corresponding to the material of the display mesh.

The invention provides a method and device for performing texture rendering on a model, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the steps that the rendering calculation amount of each edge in a to-be-rendered model is predicted, and the rendering calculation amount represents the predicted calculation amount needed for rendering each edge; predicting a total rendering calculation amount of the model based on the predicted rendering calculation amount; based on the performance parameters of the electronic equipment and the total rendering calculation amount, the rendering rate is determined, and the rendering rate represents the number of models which can be rendered by the electronic equipment in unit time; and determining a texture quality parameter matched with the rendering rate, and rendering the surface of the model by using texture data corresponding to the texture quality parameter to obtain a texture map. Through the method, the quality of the texture data of the model can be accurately adapted according to the performance of the electronic equipment.

The method for realizing the shadow function of the server decoration window based on wlroots comprises the following steps: preparing eight pictures for realizing the shadow function and placing the pictures under the root directory; converting the pictures into a shadow_element structure; converting the pictures into a buffer, calling the width, height, step and format data of the pictures from the buffer, and filling the data into the structure of the pictures; converting the structure into a corresponding texture; rendering a rect node, associating the texture of the pictures with the rect node according to the sequence; calculating the actual position of the shadow on the screen; cutting to form a cutting area; and rendering the texture to the cutting area to form the shadow function. The method fully utilizes the existing extended hidden area of the window, does not need to increase the buffer and the rect node, does not need to separately modify the shader and the backend function, ensures the code uniformity, and realizes the shadow function.

The application relates to the rendering technical field, in particular to a texture rendering method, device, equipment and program product. The method comprises the following steps: acquiring vertex data of N small texture images, wherein N is a positive integer, and the vertex data comprises index information corresponding to each small texture image; inputting the vertex data of the N small texture images into a shader; and calling the shader to render each small texture image based on the index information. The application can improve the rendering efficiency of texture rendering on a device with low computing performance.

The application discloses a game display power consumption control method and device and a computer readable storage medium, wherein the method comprises the following steps: in the game process, when the distance between the user's viewport camera and the scene element exceeds a preset threshold, any section triangle in the scene element is taken, the section information of the three edge line triangles of the triangle is compared with the surface information of the triangle; in the comparison of the surface information, the outer vertex of the triangle, whose one or more of the material, brightness and transparency of the section are in the same range, is connected, the discrete mean of the surface information of the triangle and the three edge line triangles is taken, and a large triangle slice is formed according to the discrete mean. The application realizes an adaptive game display power consumption control scheme, so that the user can dynamically adjust the GPU to load the texture rendering data when dynamically adjusting the view window map, thereby effectively reducing the system power consumption and improving the battery endurance of the equipment.

This invention discloses a comprehensive visual super-resolution method based on neural networks. Through a two-stage optimization process of offline training and online deployment, it achieves real-time super-resolution reconstruction of remote sensing images on an edge computing platform. In the offline stage, a physics-data hybrid-driven training dataset is constructed, including optical MTF analysis, atmospheric turbulence simulation, and sinc artifact enhancement. A dynamic network, RAG-SRNet, is designed to adaptively switch the RRDB computation path based on the screen projection size, and training is performed using remote sensing-specific perception loss, RaGAN adversarial loss, and spectral angle loss. In the online stage, TensorRT INT8 quantization and mixed-precision optimization are employed. CUDA-OpenGL zero-copy memory mapping enables the reuse of memory addresses for the inference output buffer and texture objects. Asynchronous inference thread pools and hardware semaphore synchronization are used to achieve pipelined parallelism for tile requests, super-resolution computation, and texture rendering. Compared to existing methods, this invention significantly improves PSNR, increases frame rate by over 25%, and reduces CPU usage by 77%, providing an industrial-grade visual enhancement solution for aerospace simulation and autonomous driving.

The invention relates to a multi-source data driven three-dimensional model texture rendering system and method, and the system comprises a multi-source input parameter processing module which is used for receiving and processing multi-source input data from a user instruction and a light and shadow environment; the AI texture calculation decision module is connected to the multi-source input parameter processing module and is used for analyzing a user intention through an artificial intelligence technology based on the multi-source input data and generating a texture decision; the texture state and application rendering module is connected to the AI texture calculation decision module and is used for dynamically managing and rendering the texture state of the three-dimensional model in real time according to the texture decision, so that multi-source data driving of natural interaction, environment self-adaption and intelligent decision can be realized, intelligent association between texture expression and environment factors is established, and the application rendering module is used for rendering the texture state of the three-dimensional model according to the texture decision. And intelligent fusion and coordination of multi-source data are realized.

The embodiment of the invention provides a scene rendering method and device, equipment and a storage medium. The method comprises the following steps: determining a corresponding visible texel set according to a mapping texel point of each pixel point in a current to-be-rendered frame in a target texture image of a specified rendering scene; the visible texel sets are reported to a server side, so that the server side combines the visible texel sets reported by multiple terminals into a visible texel union set, and the visible texel union set is issued to each terminal through a reference texture image subjected to texture rendering; and according to the reference texture image, rendering the current to-be-rendered frame and then displaying the current to-be-rendered frame. According to the embodiment of the invention, one-time efficient texture rendering and texture rendering multiplexing of multiple terminals in the texture space for the specified rendering scene can be realized, the repeated texture rendering overhead of the multiple terminals for each rendering of the specified rendering scene is greatly reduced, and the rendering frame rate and smooth display of each terminal for the specified rendering scene are improved.

Provided in the embodiments of the present application are a texture generation method and apparatus, and a computer device, a storage medium and a program product. The texture generation method comprises: acquiring guidance information of a geometric model and a mesh file of the geometric model, wherein the guidance information contains texture information, and the texture information is used for indicating a preset texture style; on the basis of the mesh file of the geometric model, using at least one depth rendering camera to perform depth rendering processing on the geometric model from at least one viewpoint, so as to obtain a depth map of the geometric model at each viewpoint; and on the basis of the texture information in the guidance information and the depth map of the geometric model at each viewpoint, performing texture rendering processing on the geometric model, so as to obtain a texture map of the geometric model, wherein the actual texture style of the texture map is consistent with the preset texture style indicated by means of the texture information. By means of the embodiments of the present application, the generation quality of a texture map can be improved.

The invention provides a rendering method and electronic equipment. The to-be-rendered content between the application process and the rendering process can be dynamically balanced, so that the rendering efficiency is improved, and the equipment performance is improved. The method comprises the steps that a first application process generates a first rendering node tree; wherein the first rendering node tree is used for drawing a first application interface of the first application process, and the first rendering node tree comprises a rendering node corresponding to first content in the first application interface and a rendering node corresponding to second content in the first application interface. And the first application process generates a first texture corresponding to the first content according to the first rendering node tree. And the rendering process draws the second content according to the first rendering node tree generated by the first application process. And the rendering process generates a first application interface of the first application process according to the second content and the first texture.

An image processing method and apparatus, which relate to the technical field of image processing. The method comprises: an electronic device receiving first information, wherein the first information indicates a drawing style and / or the material type of a drawing carrier; on the basis of the first information, determining one or more texture images corresponding to the drawing style and / or the material type; and on the bass of the one or more texture images, performing texture rendering on a first image, so as to obtain a second image, and displaying the second image, wherein the one or more texture images are obtained on the basis of the texture of the same drawing carrier, and different texture images among the plurality of texture images are used for presenting different features of the texture of the same drawing carrier.

The invention relates to the technical field of augmented reality, and discloses an augmented reality image synthesis method based on optical characteristics of pearlescent pigments. The method comprises the following steps: collecting spectral reflection data of pearlescent pigment at different illumination angles and observation angles; by analyzing the spectral reflection data, calculating color correlation measurement under a plurality of angle combinations, and further determining delay parameters of signal transmission between angles; deducing a gloss fluctuation index of the pearlescent pigment in a preset time interval by using the distribution characteristics of the delay parameter and the spectral reflection data in the preset time interval; evaluating a synthetic interference probability on each frequency point and extracting a key interference frequency point by combining the attribute difference of the gloss fluctuation index and the spectral reflection data after frequency domain transformation; integrating the distribution modes of all the key interference frequency points, and generating an image rendering error probability; and finally, adjusting texture rendering parameters of a virtual object in the augmented reality scene according to the image rendering error probability to realize generation and output of a synthetic image.

The present application relates to the technical field of computer vision, and more particularly to an AI three-dimensional reconstruction method and system for multi-view athlete training video. The method comprises: acquiring a multi-view video sequence and extracting image frames corresponding to time stamps, constructing a multi-scale spatiotemporal feature representation based on the image frames, and establishing a view semantic correspondence relationship by hierarchically fusing local poses and global motion contexts to guide cross-view three-dimensional coordinate inference to generate an initial three-dimensional skeleton; introducing a motion manifold constraint to the initial skeleton to make the skeleton at adjacent time points smoothly transition in the manifold tangent space, and modeling and propagating the uncertainty distribution to obtain an optimized three-dimensional skeleton sequence with confidence estimation; generating a three-dimensional mesh using the optimized skeleton to drive a parameterized human body model and combining texture rendering; performing multi-view projection consistency verification on the rendering result and the original multi-view image frames, and adaptively adjusting the hierarchical fusion weight and the regularization strength of the motion manifold constraint using the verification result.