88 results about "Cloud rendering" patented technology

The invention discloses a volume cloud rendering method and system based on three-dimensional Gaussian splash, and the method comprises the steps: carrying out the feature matching and structure reconstruction of a volume cloud image through an SfM algorithm, obtaining a sparse point cloud in a scene, and representing the sparse point cloud as an anisotropic Gaussian ellipsoid; decomposing the illumination transmission process of the volume cloud into two parts of forward single scattering and internal multiple scattering based on a radiation transmission equation to obtain an illumination modeling formula embedded volume cloud rendering process; determining the contribution of each three-dimensional Gaussian ellipsoid to a rendering result according to the opacity index of the three-dimensional Gaussian ellipsoid, and dynamically cutting the low-contribution three-dimensional Gaussian ellipsoid by adopting a delay deletion strategy to reduce redundancy; a comprehensive loss function is constructed, so that the three-dimensional Gaussian model is focused on the volume cloud region and the structure detail reduction capability is enhanced; and outputting the optimized volume cloud rendering result and the three-dimensional Gaussian model. According to the method, the volume cloud rendering efficiency and quality are effectively improved on the premise of ensuring real-time rendering.

The invention discloses a middleware-based cloud rendering method and a middleware system, and relates to the technical field of cloud rendering, and the middleware-based cloud rendering method comprises the following steps: creating an application instance, loading the application instance to a cloud rendering platform system, and starting a three-dimensional rendering task; a three-dimensional rendering task is scheduled and allocated through a resource management and scheduling module of the cloud rendering platform system according to the resource use conditions of the load and the server; receiving a three-dimensional rendering task through middleware, and transmitting three-dimensional rendering data of the three-dimensional rendering task between a client and a Web server through a two-way communication module of the cloud rendering platform system to realize real-time communication; and under the condition that the three-dimensional rendering task is finished, waiting for a next rendering task instruction. According to the method, the resource management and operation and maintenance process in the containerized environment can be effectively optimized, and the expandability, stability and usability of the system are improved.

The invention relates to the technical field of mobile phone end cloud rendering display, and discloses a mobile phone end simulation scene interactive display method based on cloud rendering. The method comprises the following steps: collecting user interaction data, equipment state information and network environment parameters of a mobile phone end, and generating an interaction state monitoring value through validity verification, noise filtering and multi-source integration; extracting a rendering engine configuration parameter based on the monitoring value, and selecting a resolution and detail level balance point through an optimization algorithm to obtain a rendering parameter optimization value; in combination with real-time network delay and equipment electric quantity, a rendering strategy is adjusted according to the optimization value, and an environment response adjustment value is generated; setting a frame rate and an image quality threshold and dynamically applying the frame rate and the image quality threshold to obtain a display threshold set value; capturing a user behavior mode and scene complexity change, analyzing a prediction demand through a time sequence, and generating a scene demand prediction value; and comparing the actual rendering output with the predicted value, calculating an error, feeding back and controlling a rendering process, and outputting an optimized interactive display result.

Systems and methods are disclosed herein for inserting supplemental content into cloud-rendered media content, such as video game cutscenes. The media content is rendered and encoded for streaming to a client device. Data related to a current session associated with the client device is retrieved. Based on the retrieved session data, a supplemental content item is identified for insertion into the streaming media content. If an insertion point is detected within the streaming media content, the supplemental content item is streamed to the client device in place of the streaming media content. Once streaming of the supplemental content item has ended, either at the end of the supplemental content item or in response to a request from the client device to skip the supplemental content item, streaming of the streaming media content is resumed.

The invention discloses a cloud rendering method and system for space computing and terminal equipment, and belongs to the technical field of cloud computing and virtual / augmented reality. The method aims at solving the technical problems that an existing space computing device cannot run severe applications due to limitation of local computing power, power consumption and heat dissipation, and application ecology is separated from a traditional two-dimensional desktop. The method comprises the following steps: operating an operating system environment capable of bearing two-dimensional and three-dimensional applications on a cloud server, performing real-time synthesis and rendering on the output of each application in a three-dimensional virtual space, and updating a scene according to user interaction data received from terminal equipment, and the generated three-dimensional scene is transmitted to terminal equipment in a streaming manner by adopting an optimized coding technology. The method has the beneficial effects that a core computing task is arranged at the cloud end, so that a user can obtain top-level workstation performance through light-weight terminal equipment, various professional applications can be seamlessly operated, persistence and cross-equipment roaming of a working space are realized, and the productivity value of space computing is greatly improved.

The present disclosure provides a digital conference interaction method, device, system and related device, comprising: accessing a conference system through a webpage end by a user terminal, and sending user data to an edge node; analyzing user semantics and intention based on the user data by the edge node, and requesting a rendering flow of public semantics from a cloud server; requesting three-dimensional model data corresponding to the user from a cloud storage based on information saved by a public semantic library of the cloud server, constructing a public semantic scene and cloud rendering by the cloud server; returning the cloud rendering flow to the edge node; constructing a private semantic library based on the user data by the edge node, requesting data from the cloud storage, constructing a private semantic scene and edge rendering; rendering and synthesizing the cloud rendering flow and the edge rendering flow; and returning the synthesized flow to the user terminal, so that the user terminal receives a conference scene and a picture of a user digital person in real time on the webpage end, the picture including real-time expressions, actions, position states of the digital person.

The invention discloses a cloud rendering method and device based on a shared cache, equipment and a medium. Receiving a target scene identifier and a target scene view angle pose sent by the target terminal; loading a target scene model file according to the target scene identifier, and converting the target scene model file into a data structure object; loading a target radiance hash table corresponding to the target scene identifier from a public storage server; based on the target scene view angle pose and the target detection light, determining a patch intersection point set having a collision intersection point with patch data in the data structure object; and based on the target radiance hash table, determining a target radiance corresponding to each patch intersection point in the patch intersection point set, calculating a pixel color value of the corresponding patch intersection point in the patch intersection point set according to each target radiance, obtaining a target scene view angle image, and sending the target scene view angle image to a target terminal for display. Therefore, the data calculation amount of cloud rendering is reduced, and the cloud rendering efficiency in a multi-user scene is improved.

This application provides a data processing method, system, and electronic device. The method includes: before the encoder encodes an image rendered by a graphics processor, the graphics processor acquires rendering information related to the rendered image, then compresses and transmits the compressed rendering information; subsequently, during the encoder's encoding of the rendered image, it can perform encoding optimization based on the compressed rendering information. This reduces the amount of rendering information, thereby reducing the transmission latency of the rendering information. Furthermore, the encoder performs encoding only after receiving the rendering information; therefore, this application can reduce the encoder's waiting time for encoding, thereby reducing the overall transmission latency of the cloud rendering process.

The invention relates to the technical field of illegal building identification, and discloses a cloud rendering-based high-altitude protruding illegal building identification monitoring method and system, and the method comprises the steps: generating a building dense point cloud model of a target building, and carrying out the meshing of the model; generating a building facade view of the three-dimensional building model, and extracting material features and structural features of any building facade in the building facade view; constructing a building illegal building identification model to carry out illegal building identification and illegal building marking on the building facade to obtain an illegal building facade; and performing dynamic area growth and segmentation processing on the facade of the illegal building by adopting a dynamic growth algorithm to form an illegal building area, and generating and recording a positioning coordinate of the illegal building area and an illegal building type. According to the method, the three-dimensional building model is generated based on the multi-angle RGB-D data, the facade material and structure features are extracted, automatic identification, positioning and classification of high-altitude protruding illegal buildings are realized through illegal building identification and a dynamic segmentation algorithm, and the monitoring precision and the automation level are improved.

The application discloses an AI-driven cloud rendering service fault rapid positioning method, relates to the technical field of service fault positioning, and is used for solving the problems of low efficiency and large resource waste of rendering retry behavior, acquiring a cloud rendering operation target, performing regional division, collecting the resolution and artifact area of each region, comprehensively calculating the cloud rendering fault indexes of the regions, evaluating fault region positioning features based on the fault indexes and storing the fault region positioning features in a temporary database, setting multiple rendering retries within a retry time, counting retry fault frequencies, detecting the rendering execution time of each time and calculating rendering levels, evaluating fault type positioning features in combination with the retry fault frequencies and the rendering levels, fusing the fault region positioning features in the temporary database, selecting an adaptive fault region or type positioning method for processing, intelligently analyzing multidimensional fault features, realizing rapid and accurate positioning of cloud rendering faults, and improving service stability and operation and maintenance efficiency.

The invention relates to the field of augmented reality, and discloses a cross-terminal collaborative socialized AR interaction method and system, and the method comprises the following steps: S1, building connection between a plurality of user terminals and a cloud rendering server, and forming an interaction group; s2, the user terminals upload positions, postures and operation instructions in real time, and the cloud rendering server dynamically updates AR views of other user terminals in the group; s3, the cloud rendering server synchronizes AR scene data and aligns AR views of all the user terminals; s4, the cloud rendering server triggers and coordinates a cooperative task according to the user terminal data; the system comprises a multi-terminal cooperation module, a cooperation task engine module and an AI interaction module. According to the invention, by introducing a multi-terminal cooperation mechanism and an innovative cooperation task design, the fundamental transformation of AR navigation from single-person information reception to multi-person sharing exploration is realized, and the interactive experience and cooperation fun between users are improved.

The application discloses a bad frame detection method for rendering sequence frames. By utilizing an SSIM algorithm and an image prediction technology, a set of sequence frame bad frame detection system is built on a cloud rendering platform, so that the bad frames in output can be detected in time, the rendering system is informed in time, the system reminds the user in time or automatically re-renders the bad frames, and therefore, the efficiency of the rendering platform is effectively improved, and the time of the user is greatly saved.

The invention provides a road condition rendering method, system and device and a program product, and the method comprises the steps: loading a three-dimensional road model which is preset with spatial geometric information of a plurality of road regions and a mapping relation between each vertex in the three-dimensional road model and a UV coordinate; acquiring road condition updating data in real time, wherein the road condition updating data comprises real-time road condition information of the plurality of road areas; generating a road condition UV map based on the road condition update data, wherein the display texture of the road condition UV map is used for representing the real-time road condition information of the plurality of road areas; and mapping the road condition UV map to the surface of the three-dimensional road model based on the UV coordinate of each pixel point in the road condition UV map and the mapping relationship between each vertex and the UV coordinate in the three-dimensional road model, and generating a three-dimensional rendering model with real-time road condition information. According to the method, cloud rendering of the server side and rendering of the client side are decoupled, the model does not need to be reloaded, the road condition rendering efficiency is improved, and the road condition rendering cost is reduced.

The application provides a building design software and cloud rendering platform synchronization method and system, and relates to the technical field of building information modeling. The method comprises the following steps: format conversion, converting the model in the building design software; data uploading, uploading the model data after format conversion to the cloud rendering platform; data display, displaying the model rendering effect after format conversion; data synchronization, synchronizing the modification operation of the user to the engine of the cloud rendering platform. The method and system provided by the application do not require the user to export and re-import the model file. After the user starts the cloud rendering platform, the user can directly return to the building design software to modify the model. Only the command defined by the plug-in needs to be triggered, and the plug-in will synchronize the user's operation to the cloud rendering engine, so that the user can see the rendered model in the browser, the display is seamlessly connected, the work efficiency is improved, and the design output effect is better.

The application discloses a method for optimizing shadow precomputation based on light source clustering technology, which comprises the following steps: firstly, uploading a scene file; secondly, analyzing light source properties; thirdly, setting rendering parameters and submitting the scene file and the rendering parameters to a cloud rendering system; fourthly, clustering light sources through script processing of node machines of the cloud rendering farm, and then identifying key light sources; fifthly, allocating machine resources and precomputing allocation; sixthly, generating a map after power allocation; seventhly, synthesizing shadows; eighthly, dynamically adjusting; ninthly, performing rendering; and tenthly, generating and outputting a rendering output image. The application not only improves rendering efficiency and shadow quality, but also provides an efficient, simple and reliable offline rendering solution for users through intelligent management and optimization.

The application discloses a 3dsmax rendering progress acquisition method based on cloud rendering. The application acquires the rendering progress of each frame of 3dsmax, generates corresponding text files and saves the text files in a public storage, so that the rendering progress of each frame can be checked by checking the corresponding text files in the public storage, the application achieves the effects of liberating manpower, being convenient and saving time, and solves the defects of the prior art.

The invention provides a volume cloud visualization method, device and equipment based on meteorological data and a medium, cloud amount in the meteorological data is converted into a texture picture, and anisotropic three-dimensional noise textures are constructed by combining wind meteorological data with cloud types, so that different noise parameters are set for different cloud types. The method comprises the following specific steps: firstly, acquiring meteorological data and performing data preprocessing, mainly selecting meteorological factors including low, medium and high cloud coverage rates and horizontal wind, and performing data interpolation on the low, medium and high cloud coverage rates to improve spatial resolution; a density change height correlation function is designed according to the cloud type, and a basic three-dimensional contour of the volume cloud is constructed in combination with the cloud coverage rate; using differentiated noise parameters to construct volume textures for different cloud types to perform detail enhancement on the volume cloud; and finally, performing volume cloud rendering. According to the method, the rendering authenticity and efficiency of different types of volume clouds in a large-scale scene are effectively improved.

This invention belongs to the field of cloud rendering technology and provides a method for implementing one-to-many cloud rendering. The one-to-many cloud rendering method comprises three parts: basic cloud rendering service, cloud rendering program, and cloud rendering room service. The method includes the following steps: creating an identification code, generating a session, binding user information, creating a user room, joining a user room, and exiting the user room. After a user selects a cloud rendering program, the webpage first sends a room query request to the room service for the corresponding cloud rendering program. Upon receiving the request, the room service queries all room numbers with more than one user through the program ID and returns the results to the front-end webpage. After receiving the room information, the webpage displays all rooms, and the user selects a room to join. This effectively utilizes the cloud rendering service and rationally allocates program request methods, making the utilization of cloud rendering server resources more efficient.

The embodiment of the invention provides a cloud and mist rendering method and device in an online game, electronic equipment and a storage medium, and relates to the technical field of image rendering. The method comprises the steps of obtaining a three-dimensional model capable of rendering cloud and mist in a flight scene and rendering parameters in response to an instruction of a role entering the flight scene, and calculating a camera distance according to world coordinates of a vertex of the three-dimensional model and camera world coordinates obtained from a rendering engine, calculating a vertex fog effect factor according to the camera distance, the fog effect starting distance and the fog effect ending distance, carrying out interpolation on the vertex fog effect factor through GPU rasterization to obtain a fragment fog effect factor of each fragment of the three-dimensional model, and carrying out color mixing on the original color of the fragment, the fragment fog effect factor and the fog effect color to obtain the fog effect of the three-dimensional model. And outputting the final cloud and mist rendering result to present the cloud and mist effect of the flight scene. Therefore, the GPU load caused by traditional pixel-by-pixel calculation can be obviously reduced.

The embodiment of the specification discloses a cloud rendering applet processing method, device and equipment, which is applied to the cloud. The method comprises the following steps: acquiring an original browser kernel, and generating a browser preliminary kernel by dynamically running a first target applet by using the browser kernel and cutting the browser kernel; screening an applet target adaptation capability, and fusing the applet target adaptation capability with the browser preliminary kernel to obtain a browser fusion kernel; generating a lightweight kernel container according to the browser fusion kernel; receiving operation information sent by a remote user terminal, starting and running a second target applet in the kernel container, generating a corresponding response rendering result for the operation information; and returning the response rendering result to the user terminal for display.

The invention belongs to the technical field of point cloud rendering, aims to solve the problem that rendering effect and rendering efficiency cannot be considered during dynamic rendering of point cloud, and discloses a point cloud rendering method based on an octree structure, and the method comprises the steps: obtaining point cloud data, carrying out the data preprocessing, building a user-defined storage structural body based on an octree storage structure, and carrying out the rendering of the point cloud. The method comprises the following steps: acquiring point cloud data, converting the point cloud data into voxelized point cloud data based on an octree structure, storing the voxelized point cloud data to a self-defined storage structure body, constructing a traversal recursive tree, cutting the voxelized point cloud data, performing detail level construction on the cut voxelized point cloud data, and performing point cloud rendering based on a detail level structure. According to the method, the node division layers can be flexibly adjusted according to the point cloud density, multi-layer division can be carried out on the part needing detail rendering, few-layer division can be carried out on other parts, and on the premise of ensuring the rendering effect, the volume of the point cloud data is reduced, the rendering difficulty is reduced, and the rendering efficiency is improved.

The invention discloses an AI-driven local missing element frame supplementing method. The method comprises the steps of collecting and preprocessing multi-modal data including text data, image data and video data; constructing a multi-modal knowledge system, performing directional feature extraction on multi-modal data, converting the multi-modal data into associable structured data, realizing feature archiving and semantic association through an agent workflow, and establishing a retrieval engine in combination with an RAG system; constructing an AI frame compensation model, generating missing region frame compensation content through feature constraints of a multi-modal knowledge system, and performing local frame compensation on the frame compensation content generated by a large model and an original image; performing cloud rendering on data obtained after frame filling of the AI frame filling model, and outputting results in multiple forms according to application scene requirements; according to the method, a structured knowledge system is constructed, so that the complement frame content is not only visually coherent, but also highly conforms to a real scene in the aspects of historical background, age features, semantic logic and the like, and the historical accuracy and credibility of a repair result are remarkably improved.

The application discloses a cloud rendering message communication interaction method for connecting multi-end digital twin business scenarios. The method is realized based on a three-layer architecture system of a client layer, a middleware layer and a server layer. The client layer collects the parameters of the three-dimensional camera's view cone in real time; the middleware layer uses the parameters, combines spatial semantic index and distance attenuation law, calculates the dynamic scheduling weight of massive concurrent messages, and accurately distributes them to high-optimal transmission, smooth flow limiting or aggregation degradation channels; at the same time, the server layer reuses the same set of view cone parameters to implement cascade rendering degradation and physical simulation control on twin objects outside the field of view and in the buffer zone. The application not only effectively eliminates the head-of-line blocking effect at the network transmission level, but also realizes the spatio-temporal coupling linkage of message scheduling and computing power distribution based on unified spatial perception, and supports seamless switching of heterogeneous cloud rendering platforms.

A method for a 6G mobile terminal to visit a remote 4D scene in real time relates to the technical field of 4D rendering interaction, and comprises the following steps: a browser based on the 6G mobile terminal sends a remote access request to a cloud rendering service system constructed in a large model environment cloud server; the cloud rendering service system comprises, from bottom to top, a communication layer used for processing network access of a 6G mobile terminal, request distribution and transmission of an instruction and a rendering result; the rendering layer is used for constructing a virtual scene at the cloud according to the remote access request, executing a rendering task according to the operation instruction and generating a rendering image; the heterogeneous scene material resource management layer is used for storing, scheduling and managing scene material resources for rendering tasks; the cloud rendering service system responds to the remote access request and generates a rendered image of the interaction action result in the cloud server; and receiving the rendered image based on the 6G mobile terminal and displaying the image. According to the invention, the remote 4D scene interaction experience of the mobile user is improved.

The invention discloses a distributed node collaborative elastic scheduling and cloud rendering splicing method and system. The method comprises the following steps: constructing a distributed node cluster supporting FPGA acceleration; node resources and network states are monitored and predicted in real time; rendering tasks are flexibly scheduled and migrated based on a prediction result; signal preprocessing is completed at an edge node, and rendering and splicing are completed at a cloud node; and finally outputting to a control system. The system comprises a node cluster used for executing the steps, a scheduling engine and a splicing assembly line. Through distributed cooperation and intelligent elastic scheduling, efficient and low-delay cloud rendering and splicing processing is realized, and the resource utilization rate and the system reliability are effectively improved.

The present application relates to the technical field of new energy training, and particularly relates to a new energy intelligent training and examination system and method based on cloud rendering, which comprises a cloud rendering hub platform system that generates a computing resource allocation scheme according to virtualized and integrated graph computing resources based on course learning request data uploaded by a student terminal device and a student access terminal type; a post skill training and examination module that generates personalized learning evaluation data containing ability short board positioning according to course interaction data and student learning behavior data of the student in a virtual simulation environment; and a virtual-real fusion module that generates force feedback operation data that is synchronously updated with a real job training scene by fusing the virtual training environment and the real job training scene through a data coupling engine. The present application realizes a new energy intelligent training and examination system that seamlessly fuses virtual and real job scenes, and improves the utilization efficiency and precise allocation of cloud rendering platform resources.

The application relates to the technical field of power system operation and maintenance training, and discloses a power grid maintenance training system and method based on extended reality, which comprises a cloud rendering and distribution system: the cloud rendering and distribution system is used for rendering an extended reality scene, generating real-time rendering output, and transmitting the real-time rendering output to a terminal device through an edge computing node and a content distribution network; the cloud rendering and distribution system is connected with a real-time dynamic content updating module and a data processing module, is used for receiving real-time state data and student operation behavior data of the device, and is responsible for embedding the data in a rendering scene. Through the cloud-based XR service, the performance requirement of the terminal device is significantly reduced, the cloud rendering and edge computing are combined with the content distribution network, real-time rendering and transmission of high-quality content are realized, in the case of network fluctuation, low delay and smooth experience can be maintained, the network adaptability of the system is improved, and the hardware cost is reduced.

The application provides a distributed cloud rendering task dynamic allocation method based on reinforcement learning, which comprises the following steps: obtaining a cloud rendering request, generating a request parameter record, a scheduling context record and a scheduling observation package; according to the request parameter record, the scheduling context record and the scheduling observation package, dividing a to-be-executed rendering task into a reversible rendering precursor task and an irreversible finalization rendering task, calculating a branch survival probability, generating a state inheritance identifier and a task inheritance mapping set; inputting the scheduling observation package, the branch survival probability and the task inheritance mapping set into a reinforcement learning strategy model, generating a global scheduling action value, a task allocation result set and a scheduling execution scheme by a node intelligent agent and a scheduling coordination intelligent agent; executing the reversible rendering precursor task according to the scheduling execution scheme, generating a connectable intermediate rendering state and writing the connectable intermediate rendering state into a state inheritance pool, and selecting a target node to extract a corresponding connectable intermediate rendering state when a condition is met.

The application provides a three-dimensional rendering engine for multi-source design model integration of ocean petroleum engineering, relates to the field of computer graphics and three-dimensional visualization technology, and comprises four layers of technical architecture: a cloud rendering layer realizes high-performance graphics processing based on a Vulkan API; a cloud transmission layer is responsible for pixel stream transmission and instruction interaction; an integrated SDK layer encapsulates common interfaces; and an application docking layer realizes business development. A service-side rendering plus pixel stream pushing technical route is adopted, low-delay video transmission is realized through WebRTC, instruction interaction is realized in combination with an MQTT protocol, rendering calculation is concentrated on the service side, and the client only needs to process video stream decoding. The model browsing frame rate of the application is not lower than 20 frames per second, the first preloading time is less than 1 minute, and the system response time after preloading is less than 3 seconds, so that the smooth display problem of large-scale three-dimensional models on ordinary terminal devices is effectively solved, and high-fidelity three-dimensional visualization support is provided for the whole business process of ocean engineering.

The application discloses a point cloud rendering method and system, and relates to the technical field of computer graphics, and comprises the following steps: acquiring point cloud data of a detected object; S2, dynamically dividing a three-dimensional space into multiple rendering levels based on the real-time distance from the acquired point cloud data to a current observation point; based on each rendering level, respectively establishing a nonlinear smooth continuous function mapping relationship between rendering sampling probability and the observation distance of a rendering point radius, and respectively inputting a preset representative observation distance at each layer to obtain the rendering parameters of each layer; and applying the corresponding rendering parameters of the point cloud of different rendering levels to perform differentiated rendering operations. Advantageous effects: the hierarchical mechanism provides a structured framework for subsequent nonlinear parameter mapping, so that the adjustment of the rendering parameters can be based on an ordered spatial division closely related to visual perception, which is a prerequisite for the intellectualization of the whole method.