499results about How to "Improve visual experience" patented technology

The invention relates to a self-adaptive screen brightness adjustment method and device, equipment and a storage medium, and the method comprises the steps: obtaining ambient light data in real time, analyzing the ambient light data through a preset display adjustment model, and dynamically adjusting the display setting according to an analysis result; obtaining a current use scene, analyzing the current use scene according to a preset use mode database, and optimizing the adjusted display setting according to an analysis result; and obtaining a user adjustment action, collecting user adjustment parameters and ambient light data corresponding to the user adjustment action, and updating the preset display adjustment model and the preset use mode database according to the user adjustment parameters and the ambient light data. The method and the device have the effect of improving the efficiency and the accuracy of screen brightness adjustment.

The invention provides a brightness adjusting method and device for a vehicle-mounted electronic display screen, equipment and a medium, and the method comprises the steps: obtaining the driving state parameters of a vehicle and the external environment information of the vehicle, carrying out the weighting calculation of each sub-parameter in the vehicle state parameters, and obtaining a vehicle state score, and obtaining basic brightness corresponding to the vehicle state score based on a preset score brightness mapping relation, identifying a current driving scene corresponding to the environment information and the driving state parameter to determine compensation brightness, and determining target brightness based on the compensation brightness and the basic brightness so as to adjust the brightness of the vehicle-mounted electronic display screen based on the target brightness. According to the method, the brightness of the electronic display screen is adjusted in combination with the driving situation, the influence of the change of the driving situation on the brightness of the electronic display screen is fully considered, and the flexibility and accuracy of brightness adjustment of the electronic display screen are improved.

The invention discloses a method for rendering a large-scale point cloud at a web end, and belongs to the technical field of large-scale point cloud rendering, and the method comprises the steps: S1, carrying out the data preprocessing of point cloud data, and carrying out the octree division of the whole point cloud; s2, on the basis of octree division, performing Lod hierarchical data division on leaf nodes of the whole octree; s3, data which needs to be rendered currently are screened out from the octree through view cone cutting; s4, high-level data and low-level data are separated from the screened data needing to be rendered, the low-level data are used for real-time rendering, and the high-level data are used for non-real-time rendering; and S5, combining the real-time rendering result and the non-real-time rendering result, and outputting all rendering results. According to the method, a similar double-buffer structure is used, and large-scale point clouds can be rendered in a real-time and non-real-time mixed mode at a web end.

The invention belongs to the field of image super-resolution reconstruction, and provides an image super-resolution reconstruction method and system based on mixed experts and stable diffusion in order to solve the problem of poor super-resolution reconstruction effect at present. The image super-resolution reconstruction method based on mixed experts and stable diffusion comprises the following steps: obtaining a multi-scale control condition and a space control condition; generating noise adding feature hidden layer space representation; after a plurality of sampling time steps, continuously subtracting noise predicted by the denoising backbone network of the current time step from the input of the current sampling time step of the denoising backbone network, then taking a denoising result as the input of the denoising backbone network of the next time step, and after the plurality of sampling time steps are completed, obtaining the hidden layer space expression of the reconstructed image; and the hidden layer space expression of the reconstructed image is decoded to the image pixel space, so that an image super-resolution reconstruction result is obtained, and a real and clear super-resolution reconstruction effect is improved.

The invention discloses a multi-angle video automatic editing method based on content defect detection, and relates to the technical field of video processing. According to the method, multi-track video materials are accurately synchronized to the same time axis through cross-correlation calculation, and flaws in video content are analyzed frame by frame and classified and identified by applying fuzzy detection of a dynamic threshold and combining jitter detection and shielding detection of rotation and displacement estimation. And according to a detection result, an editing scheme is intelligently generated through a dynamic programming algorithm of state transition optimization, high-quality fragments are selected, defective parts are automatically removed, the continuity and multi-view diversity of video contents are reserved, and finally, a high-quality recorded video is generated through integration. The video editing efficiency is greatly improved, the manual intervention requirement is reduced, meanwhile, it is ensured that the quality of the output video meets the professional application requirement, and the method is suitable for multiple scenes such as conference recording, educational training and multi-angle video production and has high practical value and popularization prospects.

The invention discloses a display screen calibration method and system, a product and a medium, and relates to the technical field of display screen correction, and the method comprises the steps: collecting the position feature data of a target edge user, and calculating the partition parameters of a target display screen based on the position feature data; the target display screen is divided into a plurality of dynamic display areas based on the partition parameters, each dynamic display area comprises a plurality of gradient overlapping boundaries, the width of the gradient overlapping boundaries is dynamically adjusted according to the visual parameter difference value of the adjacent display areas, and the display compensation value of each dynamic display area is calculated according to the visual parameters; and generating calibration image data based on the display compensation value, and outputting the calibration image data to each dynamic display area. By implementing the method, the display screen watching experience of edge users can be improved.

The invention relates to the technical field of image processing, in particular to a dark-red enameled pottery seal image generation system, which comprises an interaction module for acquiring a gray image and an HSV image of a dark-red enameled pottery seal image; the feature extraction module is used for performing feature extraction on the acquired dark-red enameled pottery image and judging the processing intensity of the dark-red enameled pottery image; the character enhancement module is used for analyzing the character enhancement scheme of the dark-red enameled pottery seal image; the texture enhancement module is used for analyzing the texture enhancement scheme of the dark-red enameled pottery seal image; the color adjusting module is used for analyzing the color adjusting scheme of the dark-red enameled pottery seal image; the image generation module is used for outputting the image generation scheme to a user; the quality evaluation module is used for evaluating the quality of the generated image; and the quality monitoring module is used for monitoring the quality of the image generated in the monitoring period according to the quality evaluation result of the image generated in the monitoring period. According to the invention, the seal image generation efficiency is improved.

The invention relates to a touch all-in-one machine interaction control method and device, computer equipment and a medium, and the method comprises the steps: receiving image data through a preset video stream protocol, and obtaining a corresponding image data stream; acquiring a real-time network bandwidth condition, and then performing adaptive compression processing on the image data stream based on the real-time network bandwidth condition, and dynamically adjusting image transmission parameters; comprehensively analyzing the image data stream by using a deep learning algorithm, extracting operation characteristics of a user, generating an output control instruction based on the operation characteristics, and further controlling and adjusting image display and / or an equipment state; content information is extracted from the image data stream, and content analysis is carried out by adopting a corresponding content analysis strategy according to the content information, so that real-time display and / or storage are / is carried out according to the analyzed content; and obtaining a user interaction behavior, generating a corresponding adjustment feedback instruction based on the user interaction behavior, and performing personalized adjustment on the user interface. The method has the effect of improving the image transmission quality.

The utility model belongs to the technical field of biodegradation treatment devices, and particularly relates to a closestool with an opening and closing baffle, which is provided with a closestool outer shell and a closestool seat ring, a closestool stirring cabin is arranged in the closestool outer shell, the closestool seat ring is hinged above the closestool stirring cabin, and the closestool is characterized in that at least one stirring shaft is arranged in the closestool stirring cabin; an opening and closing baffle mechanism used for blocking the closestool stirring cabin is arranged at an opening of the closestool stirring cabin, when a user sits on the closestool seat ring, the opening and closing baffle mechanism is opened, and when the user stands up, the opening and closing baffle mechanism is closed; the device has the beneficial effects that the device can still be used under the condition of power failure, the impression experience of use can be improved, the degradation efficiency is improved and the like.

The invention discloses a handwritten content display method and electronic equipment, relates to the technical field of terminals, and can reduce the display time delay of handwritten content in the process that a user writes the content on a content interface, improve the display chirality and improve the use experience of the user. In the scheme, the electronic equipment can create a system-level transparent image layer, such as a global image layer, which is independent of the image layer where the content interface is located and overlaid on the image layer where the content interface is located when a user carries out handwriting operations such as scribing, writing, circling and marking on the content interface, and carries out report point prediction based on the handwriting operations of the user and a historical writing track; and drawing a corresponding writing track on the global layer based on the touch report point corresponding to the handwriting operation of the user and the predicted report point.

The invention relates to an atmosphere lamp effect control method, an atmosphere lamp effect control device and atmosphere lamp effect control equipment in the field of illumination control, and the method comprises the steps: obtaining an image frame in a video stream generated when a camera device shoots a display, and determining a display region belonging to an imaging range of the display, the color picking point information of each color picking point is set around the display area; the display area is partitioned according to the color picking point information to obtain a plurality of subdivided areas, and the multiple subdivided areas arranged in the circumferential direction of the display area serve as lamp effect color picking areas; performing color sampling on each lamp effect color taking area to determine a respective corresponding target color; and constructing a lamp effect control signal according to the target color corresponding to each lamp effect color picking area, and outputting the lamp effect control signal to atmosphere lamp equipment to control the atmosphere lamp equipment to emit light according to the lamp effect control signal. The atmosphere lighting effect synchronously matched with the display content is achieved.

The invention relates to an underground video coding method and device, and the method comprises the steps: obtaining to-be-coded video data based on the perception capability evaluation and video reconstruction of an underground video stream; obtaining a time-space domain saliency model based on the human eye visual perception structure; and carrying out bit allocation and code rate allocation on the to-be-coded video data based on the time-space domain saliency model, and determining coded data corresponding to the underground video stream. The underground video is subjected to lossless reconstruction based on a human visual perception mechanism, so that the visual redundancy is removed, the code rate is reduced, and the underground bandwidth is relieved; bit allocation and code rate allocation are performed on the to-be-coded video data through the time-space domain saliency model, so that the coding efficiency and the visual experience degree are remarkably improved, and the method has wide application value.

The invention relates to an image processing method suitable for a variable-size TFT display screen, and the method comprises the following steps: obtaining the size and range of a display region of the TFT display screen in real time, and obtaining the position coordinate range of an edge region of an optical alignment film; detecting the pixel brightness in the coordinate range of the corresponding position of the edge area of the optical alignment film by adopting an image processing method; calculating to obtain compensation curve correction parameters by combining factors influencing the brightness distribution of the edge area; correcting the pixel brightness of the edge area of the optical alignment film by adopting the compensated brightness distribution curve; after the pixel brightness compensation of the edge area is completed, obtaining a change value of the display contrast before and after the compensation; and the compensation curve parameters of the edge region are adjusted in real time by analyzing the relationship between the change value of the display contrast and the pixel brightness compensation intensity. The brightness uniformity of the edge area of the TFT display screen can be effectively improved, the overall display quality is improved, the requirements of display screens of different sizes can be met, and high practicability and adaptability are achieved.

The invention relates to the technical field of image processing, and provides a high-precision image splicing and correcting method based on a multi-view camera, and the method comprises the steps: recognizing a potential distortion region in an image according to a plurality of view images, and outputting the distortion region; detail features of the distortion areas are extracted, the distortion type of each distortion area is derived by combining geometric consistency of adjacent areas, and local correction parameters are generated; performing accurate correction on each pixel by adopting self-adaptive nonlinear transformation and combining a mapping relation between a pixel position and a distortion degree, and obtaining an image after distortion correction; and after image splicing is carried out on the images after distortion correction, the transition effect of the edge is optimized by combining a multi-scale region fusion technology. According to the invention, the visual unnatural phenomenon at the seam can be eliminated, and the precision and visual experience of the whole image splicing are improved.

The invention relates to the field of data processing, in particular to an environment perception data processing method and system based on an intelligent helmet. The method comprises the following steps: acquiring a scene image in front of a user and multi-source environment real-time sensing data; performing scene attribute state analysis on the multi-source environment real-time sensing data, and constructing a real-time scene attribute state diagram; performing contrast dynamic balance adjustment on the scene image in front of the user, performing super-resolution fusion reconstruction, and constructing a super-resolution scene image; performing object visual identification on the super-resolution scene image, and performing object bounding box segmentation processing to obtain a plurality of accurate scene object bounding boxes; and carrying out optical flow motion change analysis on the plurality of accurate scene object bounding boxes, and carrying out space-time scene structure evolution analysis so as to obtain dynamic scene evolution characteristic data. According to the method, the data processing efficiency of the environment perception data is improved, and the environment perception data is visualized more visually.

The invention discloses an image processing method and device, equipment and a medium, and the method comprises the steps: obtaining a short-exposure image and a long-exposure image of a camera module in a shooting process, and enabling the long-exposure image to be an image obtained through the continuous exposure on the basis of the short-exposure image; determining a first R / G value and a first B / G value of the short exposure image, and determining a second R / G value and a second B / G value of the long exposure image; determining a first gain of the short exposure image according to the first R / G value and the first B / G value, and determining a second gain of the long exposure image according to the second R / G value and the second B / G value; mixing the first gain and the second gain according to a preset proportion, and determining a target gain; and performing white balance reduction on the long exposure image according to the target gain to obtain a target image. According to the invention, the long exposure gain and the short exposure gain are mixed for white balance reduction, so that the reduction effect of white balance is greatly improved, and the color cast degree of a highlight area is greatly reduced.

The invention discloses a multi-sensor-based LED backlight brightness partition control method and system, and relates to the technical field of illumination. When the system runs, light information collection and data processing are carried out through an illumination collection module and a data processing module, and an abnormal region information set is formed; an abnormal region illumination model is established according to an abnormal region information set through an anomaly detection module, a partition illumination anomaly coefficient Ycxs is obtained after training and statistics, the illumination anomaly degree of the abnormal region information set is accurately quantified, matching is carried out through a partition illumination anomaly adjustment threshold T preset by a dynamic adjustment module, and the illumination anomaly degree Ycxs is obtained. The method comprises the following steps: obtaining a screen illumination abnormity adjustment scheme of the screen partitions, achieving dynamic illumination adjustment, ensuring consistent display effects of the partitions, optimizing visual experience of audiences, finally ensuring implementation and effects of adjustment measures through a feedback monitoring module, forming a data closed loop, continuously optimizing an adjustment strategy, and improving the self-adaptive capability of the system.

The invention discloses a model and data collaboratively driven VR panoramic fusion expression method and system, belongs to the technical field of virtual reality, and solves the problem that an existing panoramic image display mode lacks deep coupling with a geographic scene object simulation model and is difficult to accurately describe a complex geographic scene object and a time-space evolution process thereof. The method comprises the steps of performing fusion modeling on each geographic scene object and a corresponding geographic scene object in a real-world panoramic image collected in real time based on geographic scene space semantic constraints to obtain a VR panoramic fusion scene; and performing digital-analog associated enhanced expression on the VR panoramic fusion scene based on an attribute semantic information rule and the user visual region of interest to obtain a VR panoramic scene, and updating the VR panoramic scene in real time by using dynamic data. The method is used for VR panoramic fusion expression.

The invention relates to the technical field of naked eye 3D display, in particular to a naked eye 3D real-time human eye pupil distance measuring and adjusting method, which comprises the following steps: S1, acquiring eye image data of a user in real time by using image acquisition equipment; s2, based on the eye image data collected in the S1, the center position of a pupil is recognized; s3, calculating the pupil distance between the left eye and the right eye according to the pupil center position identified in the S2; s4, adjusting image output parameters of the naked eye 3D display equipment according to the pupil distance calculated in the S3; and S5, tracking the eye movement information of the user in real time, and dynamically correcting the pupil distance calculation result according to the gazing area of the user to ensure that the naked eye 3D display equipment continuously adapts to the pupil distance requirement of the user. According to the method, the pupil distance of the user is measured in real time, and the parallax and optical distortion compensation of the display equipment are dynamically adjusted, so that personalized naked-eye 3D display experience is provided, and the accuracy and immersion of the display effect are effectively improved.

The invention relates to the technical field of picture rendering, in particular to a media picture rendering optimization method and system based on artificial intelligence. The method comprises the following steps: acquiring a terminal video stream; performing RGB format conversion on the terminal video stream to generate an RGB type frame image set; pixel partitioning is carried out on the RGB type frame image set, and RGB pixel matrix blocks are generated; performing color space acceleration conversion on the RGB pixel matrix block to generate a YUV cache data matrix; the YUV storage data matrix is sent to a DSP internal processing unit for key frame selection, and YUV key video frame data and YUV non-key video frame data are obtained; and performing intra-frame coding on the YUV key video frame data so as to generate YUV key frame coded data. According to the method, the media picture rendering efficiency is improved by optimizing data processing, transmission and rendering and combining user visual focus analysis.

The invention discloses low-lithium high-strength transparent microcrystalline glass and a preparation method thereof. The low-lithium high-strength transparent microcrystalline glass is prepared from the following raw materials: 7wt%-15wt% of Li2O, 2wt%-12wt% of Al2O3, 60wt%-78wt% of SiO2, 1wt%-4wt% of ZrO2, 1wt%-5wt% of P2O5, 0-1wt% of Na2O and 0-3wt% of K2O. The preparation method comprises the following steps: mixing the raw materials, melting, annealing and crystallizing to obtain the low-lithium high-strength transparent glass ceramic which is a glass ceramic product with high mechanical strength, high transmittance, low haze, low dielectric loss and high thermal conductivity, can meet the requirements of mobile phone cover plate glass on the glass ceramic, reduces the cost, has a very good market value, and is suitable for popularization and application. The high-strength transparent microcrystalline glass can be applied to a front cover and / or rear cover protection component in a cover plate material for a touch display product.

The invention relates to the technical field of three-dimensional scanning, in particular to a 3D printing product personalized design method based on a three-dimensional scanning human body model. The method comprises the following steps: acquiring human body three-dimensional scanning data and human body composition data; performing movable joint analysis on the human body three-dimensional scanning data to generate human body movable joint data; performing distributed three-dimensional model modeling on the human body three-dimensional scanning data based on the human body movable joint data to generate a human body three-dimensional model; initial human body fitting product design is conducted on the human body three-dimensional model based on the 3D printing technology, and initial 3D printing product parameter data are obtained; according to the method, by combining the human joints, the body composition data and the user feedback, the fitness and the personalized design precision of the 3D printing product are optimized, and the precision and the flexibility of the personalized design of the 3D printing product are improved.

The invention discloses a motor car automatic light control system based on computer vision assistance, and relates to the technical field of motor car automatic light control, and the system comprises a severe weather identification module, a light dynamic adjustment module and an intelligent control and feedback module. By arranging the multi-position high-definition camera outside the bullet train and applying a severe weather feature extraction algorithm, precise recognition of severe weather such as rainstorm, violent snow and dense fog is achieved, the problem that the severe weather recognition capacity of an existing system is limited is solved, and by means of a self-adaptive light regulation and control algorithm and a differential adjustment strategy for different types of lamplight, the recognition accuracy of the bullet train is improved. Light parameters are dynamically adjusted according to severe weather and ambient light intensity, contrast is enhanced, color temperature is adjusted, a comfortable light environment is created, visual experience of passengers is improved, sight of a driver is prevented from being interfered, information such as weather and running speed and geographic position of the bullet train is fused through an environment information fusion module, comprehensive and reasonable light adjustment is achieved, and the service life of the bullet train is prolonged. And the intelligent operation requirement of the bullet train is met.

The invention relates to the technical field of image processing, and discloses a rendering method and device based on ray tracing and rasterization, equipment and a medium, and the method comprises the steps: segmenting an initial three-dimensional scene based on a scene segmentation model and local rendering parameters of the initial three-dimensional scene, generating three-dimensional sub-scenes and determining an optimal rendering mode corresponding to each three-dimensional sub-scene; performing image rendering on each three-dimensional sub-scene through a preferred rendering mode to generate a rendered sub-image; and performing image synthesis processing on each rendering sub-image to generate a target rendering image. According to the method, the initial three-dimensional scene is divided into the plurality of sub-scenes, and the optimal rendering mode is determined for each sub-scene, so that the rendering efficiency is improved. By adopting the rendering mode most suitable for the characteristics of each sub-scene, the rendering sub-image with higher quality can be generated, the rendering image with high quality can be quickly generated, and the visual effect experience of a user is improved.

The invention discloses an enterprise digital exhibition and sales architecture management system, and relates to the technical field of exhibition architecture management, and the system constructs and evaluates a regional distribution index Qyfb and a regional congestion index Ydz through a three-dimensional model building module, a layout management module and a real-time human traffic analysis module, can accurately evaluate the spatial distribution between showcases, and improves the exhibition and sales efficiency. The layout is adjusted in time to optimize the use efficiency of the exhibition area, and the exhibit is prevented from being too dense or loose; the method monitors and predicts the crowd congestion condition of the exhibition area in real time, dynamically adjusts the guide identifier and the interaction area setting, and relieves the congestion. The digital acquisition module and the analysis module realize comprehensive acquisition and analysis of illumination and environmental conditions of an exhibition site. The condition data set is deeply analyzed through the neural network technology, the illumination condition index Gztj and the ventilation condition index Tftj are calculated and evaluated to make corresponding management strategies, and the management efficiency of the exhibition site is improved.

The utility model provides a display substrate and a display device. The display substrate comprises a substrate, and a light-emitting layer is arranged on one side of the substrate; the color film layer is located on one side of the light-emitting layer away from the substrate; the regulation and control layer is located on the side, away from the substrate, of the color film layer, the regulation and control layer comprises a plurality of regulation and control protrusions arranged at intervals, the micro lens layer is located on the side, away from the substrate, of the color film layer, and the micro lens layer comprises a plurality of micro lenses arranged in an array mode; wherein on a plane perpendicular to the display substrate, the regulation and control bulge comprises a first plane and a second plane, the first plane and the second plane intersect to form an obtuse angle, and the orthographic projection of the vertex of the obtuse angle on the substrate is at least partially overlapped with the orthographic projection of at least one micro lens on the substrate; in this way, the emergent light cannot be emitted to the light emitting direction of the display substrate, so that the emergent light emitted from the regulation and control protrusions cannot generate crosstalk on light normally emitted from the interval between every two adjacent regulation and control protrusions, and large-view-angle color cast is improved.

The invention belongs to the field of electric digital data processing, and particularly relates to a personalized myopia prevention and control and glasses matching optimization method and system, electronic equipment and a storage medium. Physiological parameters, behavior parameters and environmental parameters of individuals are collected and integrated to form an individual comprehensive data set; constructing an individual physiological-behavioral environment interaction network according to the individual comprehensive data set; analyzing the individual physiological-behavioral environment interaction network by using a complex network analysis method, and evaluating the myopia risk of the individual; according to the individual myopia risk assessment result, generating personalized myopia prevention and control suggestions and glasses matching schemes; and collecting user feedback, and optimizing the system according to a feedback result. According to the method, the myopia risk can be comprehensively evaluated, and customized myopia prevention and control suggestions and glasses matching schemes are provided according to the individual physiological parameters and behavioral environment factors. By combining the advantages of a complex network analysis method, the accuracy and effectiveness of myopia prevention and control and glasses matching are improved.

The invention discloses a road driving suitability evaluation method based on an XGBoost-SHAP and a random parameter multivariate Logit model, and relates to the field of road driving suitability evaluation analysis, and the method specifically comprises the following steps: S1, employing front automobile data recorder data and IMU data in an automatic driving automobile data set; s2, establishing a quantitative model of road environment aesthetics, and extracting related characteristic variables from four aspects of naturalness, vividness, diversity and uniformity; s3, an explainable machine learning method combining XGBoost and SHAP is adopted, occurrence of dangerous driving behaviors serves as a dependent variable, road environment aesthetics features serve as independent variables, a road driving suitability RRAV evaluation model of the automatic driving automobile is established, and the relation between road environment aesthetics and dangerous driving behavior RDBAV of the automatic driving automobile is researched; and S4, researching the influence of the random parameter heterogeneity on the RDBAV in the road driving suitability evaluation model by adopting a random parameter multivariate Logit model considering the mean value and variance heterogeneity.

The invention provides a method, a system, equipment and a medium for realizing online viewing of an original style of an Excel file, and belongs to the technical field of online file processing, the method comprises the following steps: a front-end Web page receives the Excel file uploaded by a user, stores the Excel file in a rear-end server and records stored file information; the Excel file is read, an xlsx.js library and an excel.js library are used for analysis, and analysis results are integrated; missing cell filling and style information conversion are carried out on the analyzed Excel file, cells with merging attributes in the Excel file are marked, and a format capable of being recognized by a data grid editor is obtained; and rendering a table consistent with the style of the original Excel file on a front-end Web page based on a format which can be identified by the data grid editor. The problem that a traditional online Excel viewing tool cannot completely reserve original file style information is solved, and the user experience is improved.

The invention discloses a virtual reality scene modeling method and system based on big data, and relates to the technical field of virtual reality, and the method comprises the steps: matching a model component library, a texture component library and an illumination component library according to scene demand information; constructing a three-dimensional model according to the model component library and the scene demand information; and receiving dynamic configuration parameters of the illumination component library and the texture component library, and performing scene real-time rendering on the three-dimensional model. According to the method, the model component library, the texture component library and the illumination component library are matched, and the three-dimensional model is quickly built according to the model component library and the scene demand information, so that the complexity of modeling operation is reduced; the rendering effect of the three-dimensional model is updated in real time by analyzing the dynamic configuration parameters of the illumination and texture component library, so that visual effects under different illumination conditions are simulated in a virtual environment, the sense of reality of materials and surfaces is improved, rapid feedback and immediate adjustment of the design effect are ensured, and highly-customized and immersive user experience is provided.