2633 results about "3d image" patented technology

The invention discloses a TSV technology-based silicon wafer image defect identification method and system, and the method comprises the steps: synchronously collecting three-dimensional images according to the depth structure characteristics of a TSV silicon wafer, mapping the three-dimensional images of different modes to a unified space coordinate system, and obtaining a three-dimensional fusion image; according to the three-dimensional fusion image, a feature extraction model based on a three-dimensional convolutional neural network is adopted, TSV hole wall morphology, depth deviation and material uniformity features are extracted, and an enhanced multi-dimensional feature tensor is obtained; according to the multi-dimensional feature tensor, modeling in combination with the spatial topological relation of the TSV structure to obtain a spatial topological distribution diagram of the defects; according to the space topology distribution diagram of the defects, the relevance between defect causes and process links is analyzed, a defect cause report and process optimization suggestions are generated, and an interpretable defect diagnosis result is obtained. According to the embodiment of the invention, a comprehensive and accurate silicon wafer image defect identification and process optimization scheme can be provided, and the reliability of a TSV manufacturing process is improved.

The invention relates to the field of image recognition, in particular to a wind power construction intelligent safety management method and system based on intelligent AI monitoring. The method comprises the following steps: obtaining an omnibearing real-time image flow of a wind power construction area, carrying out super-resolution deep convolution optimization and operator three-dimensional image segmentation, and extracting an operator three-dimensional image frame; three-dimensional point cloud modeling of the construction area is carried out based on the image flow, real-time image frame position positioning rendering is carried out according to a three-dimensional image frame, and a real-time twinborn model of the construction area is constructed; performing operation dynamic behavior analysis and behavior deviation degree quantitative analysis based on a twin model to obtain the behavior deviation degree of the operator; and according to the behavior deviation degree, carrying out early prediction analysis on illegal behaviors, making an adaptive risk early warning decision, and constructing an operation behavior risk early warning strategy. According to the invention, through real-time operation behavior identification and environmental risk analysis, the intelligence and safety level of wind power construction are improved.

The invention discloses a quality detection system and method for a glue injection laser contour, and belongs to the technical field of quality detection, and the method comprises the steps: obtaining a reflection point cloud signal of a glue injection finished product, constructing a point cloud data stream, setting an image reconstruction method, constructing a glue layer three-dimensional model, synchronously generating a pseudo-color grey-scale map, and achieving the visual representation of the surface texture of a glue layer. A three-layer feature extractor is constructed, a quality primary judgment method is set, features of different scales are fused in a cross-layer mode, the problem of missing detection of complex defects in traditional single-feature detection is solved, basic defects are automatically recognized, and a quality primary judgment result is output; and performing defect judgment on the glue-injected finished product which is unqualified in primary judgment, setting a defect fine judgment method, performing voxel-level segmentation on the three-dimensional image, calculating defect characteristics, and judging whether the defects affect the use performance of the product or not so as to generate a fine judgment result, so that accurate positioning of complex defects is realized, and the defect type identification accuracy is improved.

The invention discloses a device and a method for intelligently investigating types and quantity of fishes. The device comprises a self-adaptive sonar detection module, a three-dimensional image acquisition module, an image preprocessing module, a fish detection module, a main body segmentation module and an identification and classification module. The sonar module is integrated with a three-frequency-band transducer, can dynamically switch frequency according to fish school depth, and realizes target tracking counting and quantity estimation in combination with an algorithm; the image acquisition module constructs a fish school three-dimensional image model by combining a depth camera with a light attenuation compensation algorithm; the preprocessing module fuses acoustic and optical features and expands a data set; the detection and segmentation module is used for accurately positioning fishes and removing impurities; the identification and classification module realizes type identification based on transfer learning and supports incremental learning of new fingerlings. According to the method, through cooperation of multiple modules, the problems of insufficient detection precision, poor image quality and the like in traditional investigation are solved, efficient and accurate investigation of fish species and quantity is realized, and technical support is provided for fishery resource management and ecological protection.

The invention belongs to the field of image generation, particularly relates to a three-dimensional image generation method based on spherical reflection cavity parameter optimization, and aims to solve the problems of low imaging precision and poor adaptability caused by lack of a collaborative optimization mechanism in the prior art. The method comprises the following steps: acquiring optical characteristics of the inner wall of a cavity to generate a reflection path offset comparison table, measuring deformation deviation of the cavity to construct a geometric compensation mapping relation, and monitoring environmental disturbance in real time and converting the environmental disturbance into a noise intensity coefficient; inputting the target three-dimensional image into a pre-compensation processor, synchronously executing optical path compensation, geometric distortion correction and environmental noise suppression, and outputting a pre-corrected image to projection equipment; capturing an actual projection through an image sensor, extracting difference data with the pre-corrected image, and decomposing the difference data into a system error component and an environment interference component; and feeding back the updated parameters to the processor to regenerate a final three-dimensional image. According to the invention, multi-error-source cooperative correction and dynamic optimization are realized, and the imaging precision and adaptability are significantly improved.

The invention relates to the field of 3D rendering, in particular to an intelligent scenic area three-dimensional image rendering method, which introduces a differentiable discrete decision into 3D fusion, supports end-to-end learning of a k value, performs discrete-continuous optimization based on an activation function, predicts an optimal k value of each voxel, introduces feature adaptive fusion based on dynamic neighborhood bidirectional retrieval, and realizes the 3D image rendering of the scenic area. The alignment of the color image and the point cloud is enhanced, the false detection rate of a small target is reduced, the detail reconstruction capability of a large target is improved, and the comprehensive rendering capability of a scenic spot is improved; according to the method, a lightweight grid is adopted to express a scenic spot subject, residual Gaussian is introduced to supplement high-frequency detail features, the number of Gaussian is reduced, rendering efficiency and capability are improved, textures are generated based on initial rendering back projection, fuzzy view angle dependence is avoided, hierarchical clustering and contour extraction from bottom to top are adopted on the basis, and the method is more efficient and efficient. The point cloud vertical structure change is dynamically detected, the point cloud is complemented, the accurate contour is extracted, the number of grid vertexes is reduced, and the rendering integrity is improved.

The invention discloses an automobile tire defect automatic detection device and system, and belongs to the field of automobile tire processing, through highly integrated modular design, the automobile tire defect automatic detection device comprises a multifunctional image recognition module, a depth measurement and 3D imaging module, an internal structure and air tightness detection module and an analysis and decision module, comprehensive detection of the surface, the geometric structure, the internal structure and the air tightness of the tire is realized, and efficient, accurate and intelligent tire defect detection is realized through cooperative work of each module and equipment.

1. The name of the product under this design: Earhook Bluetooth Headset (YF28). 2. Purpose of this design product: used for communication and audio transmission. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: 3D image of component 1.

The invention relates to the technical field of printed circuit board copper embedding, and discloses a method and device for controlling the copper embedding quality of a printed circuit board, computer equipment and a storage medium. The method comprises the following steps: acquiring a projection image of a copper nail grabbed by a mechanical arm and a hole site on a printed circuit board; converting the projection image into a three-dimensional image; extracting information in the three-dimensional image to obtain the diameter of the copper nail and the diameter of the hole site; calculating a difference value between the diameter of the copper nail and the diameter of the hole site to obtain an interference value; judging whether the interference value exceeds a preset threshold value or not; and if the interference value does not exceed the preset threshold value, controlling the mechanical arm to embed the copper nail into the hole site of the printed circuit board so as to complete the copper embedding operation. According to the method, high-precision quantitative detection of the diameter of the copper nail and the diameter of the hole site is achieved, the difference value of the two diameters is calculated in real time, whether the interference magnitude of copper embedding operation is within the design range or not can be accurately judged, the copper embedding yield is increased, and the rework and scrap cost caused by copper embedding defects is reduced.

The invention relates to the technical field of image processing, and provides an indoor three-dimensional image intelligent rendering method based on image processing. Comprising the following steps of indoor multi-view image acquisition, image preprocessing, intelligent analysis of indoor scene elements, construction of an indoor three-dimensional initial model with attributes, intelligent generation of rendering parameters, adaptive LOD real-time rendering and intelligent interaction optimization. According to the intelligent interaction optimization system, through deep fusion of natural language processing, user preference learning and real-time rendering technologies, a set of efficient, visual and personalized virtual scene rendering interaction process is constructed. According to the method, the problems that traditional graphic software is complex in operation, high in learning cost and low in debugging efficiency are solved, and the user satisfaction and creation efficiency are remarkably improved through an intelligent recommendation and rapid iteration mechanism.

The invention relates to the technical field of 3D image rendering, in particular to a commodity three-dimensional model real-time rendering system for an e-commerce platform, and the system comprises a model geometric weight generation module which carries out voxelization processing on an input commodity three-dimensional model, retrieves the geometric curvature change rate of each voxel, the position relative to a model contour and a preset region identifier, and generates a model geometric weight; calculating voxel structure saliency measurement, and establishing a geometric importance weight map. According to the method, the input commodity three-dimensional model is subjected to voxelization processing, the geometric curvature change rate of the surface of the model and the position relation of the geometric curvature change rate relative to the contour of the model are obtained, the significance measurement index is constructed by integrating the region identification, and the importance degrees of different regions are distinguished; therefore, rendering resources can be concentrated in a more critical visual feature area of the commodity model, the detail expression effect is improved, meanwhile, the resource overhead of unnecessary areas is reduced, and the resource utilization efficiency is improved.

The invention provides a printing test method, device and equipment for a three-dimensional image and a storage medium. The method comprises the steps that a parallax feature map of a printing sample of the three-dimensional image is acquired; constructing a feature pool according to the parallax feature map, and performing non-local attention calculation on features in the feature pool to obtain a structural consistency evaluation index; generating a comprehensive quality feature map according to the parallax feature map and the structural consistency evaluation index; performing coarse detection on the comprehensive quality feature map by using a preset lightweight convolutional network to obtain an abnormal region mark map, and performing fine detection on the abnormal region mark map by using a preset deep residual network to obtain a defect type distribution map; and determining a quality grade evaluation result according to the defect type distribution diagram and a preset evaluation index library.

Automatic volumetric quantification can be performed for various parameters of an object by providing volumetric data, such as three-dimensional image data, to at least one neural network. A network can extract features from the data that can be used to infer a point cloud representative of the surface of the object. One or more loss functions can be used to adjust the relevant network parameters. The network can also attempt to infer a segmentation mask for the object, indicating which data values correspond to the object of interest. Since the network performs the segmentation and point cloud generation in parallel, updates to the network parameters can impact the segmentation process, effectively constraining the segmentation based on the inferred shape of the object. Ensuring that the segmentation mask corresponds closely to the surface of the object can cause the segmentation process to be more accurate than conventional segmentation processes alone.

The invention discloses a 2D (two-dimensional) and 3D (three-dimensional) detection method and device for a wafer with bumps. The method comprises the following steps: presetting chip identification information of a chip image in a wafer image, position distribution information of the bumps on a chip and 2D and 3D algorithms; feeding the wafer to a detection table, and collecting a 2D wafer image of the wafer on the detection table; identifying each chip image in the 2D wafer image according to the chip identification information, and judging whether a chip in the wafer to be detected has a 2D defect or not according to a 2D algorithm and each chip image; identifying the actual position of each bump in the wafer to be detected according to the bump position distribution information and a chip image in the 2D wafer image; and scanning each bump according to the actual position by using a 3D image scanning camera to obtain a 3D scanning image, and judging whether a chip has 3D defects in the wafer to be detected or not according to a preset 3D algorithm and the 3D scanning image. According to the invention, 2D and 3D detection can be carried out in a one-stop manner, the detection process is saved, the detection time is shortened, and the yield is improved.

An x-ray apparatus and method can improve x-ray imaging in a variety of ways. For example, the improve x-ray apparatus can reduce scatter from x-ray images acquired by two-dimensional detectors. An improved 2D x-ray apparatus can provide 3D imaging for medical and / or industrial applications. An improved 2D x-ray apparatus and method can produce separate material imaging, and composition analysis for characterization and correlation of image, densitometry, and composition information of individual component or individual material within a single subject. Non-rotational 3D microscopy, combining 2D or 3D full field x-ray imaging and high resolution 2D or 3D x-ray microscopy or spectral absorptiometry and spectroscopy can achieve a higher resolution and wider field of view in x-ray imaging and quantitative analysis in 3D and real time. The x-ray apparatus can improve tracking and / or surgical guidance in time and / or space.

The present invention relates to medical navigation. In order to provide facilitated information for navigation in hollow anatomical structures, a device (10) for navigation in hollow anatomical structures is provided that comprises a data input (12), a data processor (14) and an output interface (16). The data input is configured: to provide 3D image data of a hollow structure in a region of interest of a subject, wherein the 3D image data comprises a coordinate space; to provide a current pose of a tool with a tool tip inserted in the hollow structure. The data processor is configured: to transfer the estimated current pose of the tool tip to the coordinate space of the 3D image data based on the registration of the tool tip with the coordinate space of the 3D image data; and to generate, from the 3D image data, a rendered image showing a scene inside the hollow structure relating to the transferred estimated current pose of the tool tip. The output interface is configured to provide the rendered image to a user.

The embodiment of the invention discloses a naked eye three-dimensional image display method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a plurality of three-dimensional virtual sub-objects and initial display parameters corresponding to the plurality of three-dimensional virtual sub-objects in a target naked-eye three-dimensional scene, wherein the plurality of three-dimensional virtual sub-objects have a logic association relationship; displaying initial naked-eye three-dimensional pictures corresponding to the plurality of three-dimensional virtual sub-objects in the naked-eye three-dimensional display screen according to the initial display parameters; generating space display parameters of the plurality of three-dimensional virtual sub-objects according to the logic association relationship; and dynamically adjusting the three-dimensional space positions of at least part of the three-dimensional virtual sub-objects in the plurality of three-dimensional virtual sub-objects according to the space display parameters so as to update the initial naked-eye three-dimensional picture to obtain a target naked-eye three-dimensional picture. In this way, the spatial display parameters are generated through the logic incidence relation to adjust the three-dimensional space position of the three-dimensional virtual sub-object, and simulation stimulation of the human brain in the three-dimensional space can be achieved when the human eyes watch the three-dimensional virtual sub-object.

The invention provides a spine centrum compression fracture recognition method and system based on artificial intelligence, and the method comprises the steps: receiving original spine CT sequence data, and outputting a preprocessed standardized image; inputting the preprocessed image into a three-dimensional U-Net + + network to obtain a centrum segmentation probability graph; outputting the segmented centrum set and the position code thereof; for each segmented centrum, extracting a corresponding area based on a centrum mask, and splicing all features to form a comprehensive feature vector of each centrum; inputting the three-dimensional image block of each vertebral body into an image flow network to extract visual semantic features; and automatically generating a structured PDF report. According to the spine centrum compression fracture recognition method and system based on artificial intelligence, the problem of image quality difference caused by different CT devices and scanning parameters is effectively solved through the multi-scale residual enhancement technology and self-adaptive window level adjustment, and standardized processing of images is achieved.

The invention discloses a farmland furrow three-dimensional point cloud data correction method and system based on a laser radar, and relates to the technical field of three-dimensional image processing based on the laser radar, in particular to a three-dimensional image geometric correction technology. The problems that original point cloud data directly obtained under the dynamic operation condition of an existing agricultural machine has geometric distortion, and the shape of a furrow cannot be truly reflected are solved; meanwhile, the problems that furrow quality evaluation seriously depends on low-efficiency manual means, the adaptability of an existing automatic technical scheme to an unstructured field environment is insufficient, and robust, real-time and high-precision perception of a real three-dimensional shape of a furrow cannot be achieved are solved. According to the method, dynamic tilt correction is carried out through real-time acquisition of point cloud and agricultural machine attitude information, boundary feature points are extracted, boundary lines are fitted, and a three-dimensional point cloud set of a single furrow is reconstructed by fusing a self-adaptive clustering algorithm of spatial prior. The method is suitable for the fields of farmland tillage and soil preparation quality detection, precision agricultural management, agricultural machinery intelligent operation and the like under the dynamic operation condition of agricultural machinery.

The invention relates to the technical field of three-dimensional image data processing, in particular to a priori constraint-based tower point cloud and model multi-scale registration method and system. The method comprises the following steps: S1, performing standardization processing on multi-source data to enable to-be-registered point cloud data to be matched with a point cloud representation standard of a prior knowledge base of a candidate model; s2, preliminary screening; s3, performing coarse registration, and performing candidate model rapid screening and key point priority sampling strategies; s4, fine registration is carried out, soft constraint optimization is adopted, priori knowledge is quantized into weights, and weighted ICP and nonlinear least square are combined for solving; and S5, performing matching scoring according to the matching parameters, and obtaining an optimal matching result of the to-be-registered point cloud data and the candidate model of coarse registration. A self-learning priori knowledge base is constructed, a high-confidence matching result is fed back to update the priori base, a dynamic weight adjustment strategy and a candidate screening rule are realized, and the adaptability of the system to different pole tower models is improved.

The invention discloses a path planning method based on clustering, a surgical robot and related products. The method comprises the following steps: acquiring a first three-dimensional CT image, wherein the first three-dimensional CT image comprises a skin area of a target object and a first tissue of the target object; an end point of the target path is determined from the first tissue. At least two first candidate points of the target path are determined from the skin region. And determining at least two first candidate paths based on the at least two first candidate points and the end point of the target path. And clustering the at least two first candidate paths to obtain at least one first path set. And determining a second path set from the at least one first path set, wherein the number of the first candidate paths in the second path set is greater than or equal to a second threshold. And determining a target path based on the second path set. Through the method, the error-tolerant rate of the target path can be improved.

The present disclosure provides an image processing method, an electronic device and a readable storage medium. The method includes: obtaining identification information by identifying an identification pattern in a media image; obtaining virtual information corresponding to media content displayed in the media image according to the identification information; obtaining an image acquired in real time; and obtaining a three-dimensional image based on the virtual information and the image acquired in real time.

The invention provides an organoid drug reaction whole-course monitoring system, and relates to the technical field of data monitoring, and the system comprises an acquisition module which is used for acquiring a three-dimensional image sequence of an organoid at a set time interval, and monitoring the concentration data of metabolites in a culture solution to obtain multi-source monitoring data; the processing module is used for performing voxelization processing on the three-dimensional image sequence to form a time sequence three-dimensional voxel data set; and the calculation module is used for calculating barycentric coordinates of the organ-like structure based on the three-dimensional space distribution characteristics of the organ-like structure in the time sequence three-dimensional voxel data set, and establishing two mutually orthogonal space analysis axes in the maximum cross section of the organ-like structure by taking the barycentric coordinates as the center. According to the method, comprehensive and dynamic monitoring and evaluation of the organoid drug reaction process are realized through multi-source data collaborative acquisition, standardized spatial analysis, accurate form dynamic extraction, form and metabolism time sequence correlation modeling and real-time time sequence registration evaluation.

The invention provides a cable three-dimensional imaging method based on multi-modal features and physical constraints, and the method comprises the steps: generating a three-dimensional frequency domain-spatial domain coupling field according to a terahertz image and an X-ray image which are used for detecting a cable, carrying out the tensor decomposition of the three-dimensional frequency domain-spatial domain coupling field, and taking a core tensor as a cross-modal feature; after a fusion weight is calculated through the cross-modal features, the terahertz image and the X-ray data image are subjected to weighted fusion through the fusion weight, and a fusion image is generated; determining a target function for physical constraint, and performing iterative optimization on the fused image by adopting the fusion weight based on the target function until convergence to obtain a target image; target image reconstruction is accelerated in parallel through quantum derivation, and a three-dimensional image of the cable is obtained. Therefore, deep integration of structure information and material attributes in different modal images is realized, and the imaging quality of the three-dimensional image is improved.

The invention discloses a carbon dioxide seepage dominant channel judgment and permeation enhancement effect evaluation method and system, and the method comprises the following steps: obtaining three-dimensional image data through the three-dimensional CT scanning of a rock sample before and after a CO2 mineralization storage experiment reaction, extracting a crack network as a topological structure center line skeleton, calculating the topological indexes of a network structure, and calculating the permeability enhancement effect of the network structure; a fracture network topological structure model constructed based on a graph theory is coupled with a discrete fracture network model for CO2 flow simulation, an equivalent permeability tensor is obtained, an improved Dijkstra shortest path algorithm is adopted, spatial distribution of CO2 seepage dominant channels is obtained, dominant channel characteristics before and after transformation are compared with the equivalent permeability tensor, the seepage enhancement effect is quantitatively evaluated, and the CO2 seepage enhancement effect is obtained. And changing injection conditions to perform multi-group simulation under different working conditions, calculating the seepage enhancement effect and the mineralization reaction rate under different injection conditions, establishing a quantitative evaluation model of the mineralization sealing permeation enhancement effect, and realizing sealing effect prediction and seepage enhancement effect evaluation.

A method of scanning a field of view implemented by a Light Detection and Ranging (LIDAR) system includes transmitting pulsed light into the field of view; receiving, by a photodetector array, light from the field of view, wherein the photodetector array is configured to receive the light from objects in the field of view corresponding to ambient light and the pulsed light reflected therefrom; generating, by the photodetector array, DC signal components exclusively attributed to receiving the ambient light and AC signal components exclusively attributed to receiving the pulsed light; separating, by a processing circuit, the DC signal components from the AC signal components; generating, by the processing circuit, a two-dimensional image that represents an ambient light image of the field of view from the DC signal components; and generating, by the processing circuit, a three-dimensional image of the field of view from the AC signal components.

Systems, devices, and methods for integrating images from various sources and using the same to guide endoscopic procedures are disclosed. An endoscopic system comprises an endoscope to be positioned and navigated in a patient anatomy, and a processor configured to reconstruct a three-dimensional (3D) image of an anatomical target based on at least two images of the anatomical target. The at least two images can be calibrated and registered using respective landmarks. One or more secondary images can be integrated with the reconstructed 3D image. The reconstructed image or the integrated image, along with the endoscope navigation plan, can be displayed to a user. Based on the reconstructed or the integrated image, the processor can generate an endoscope navigation plan for use in an image-guided endoscopic procedure.

The invention discloses a postpartum pelvic floor function evaluation system based on three-dimensional image reconstruction, which belongs to the technical field of medical image processing and biomechanical analysis and comprises an ultrasonic image acquisition module, a three-dimensional reconstruction module, a tissue elasticity analysis module, a rehabilitation scheme generation module and a visual display module. Performing three-dimensional space registration and feature point extraction through a multi-angle ultrasonic image sequence, and realizing three-dimensional reconstruction of a pelvic floor anatomical structure with the precision of 0.2 mm by using a multi-scale fusion network; a deep learning neural network is adopted to extract tissue features, and elastic modulus distribution is calculated through a strain analysis model; an individualized rehabilitation training plan is automatically generated according to an evaluation result, and the rehabilitation effect is improved by 75%; according to the postpartum pelvic floor function evaluation system and method, the three-dimensional visual display and rehabilitation process tracking functions are provided, accurate evaluation and scientific rehabilitation guidance of the postpartum pelvic floor function are achieved, the screening efficiency is improved by 320%, and the clinical application value is remarkable.

The invention provides a semiconductor wafer surface detection method and device and a scanning electron microscope, and the method comprises the steps: collecting a to-be-detected wafer surface two-dimensional image through the scanning electron microscope, inputting the to-be-detected wafer surface two-dimensional image into a surface detection model, determining a wafer surface three-dimensional image related to the to-be-detected wafer surface two-dimensional image, identifying and outputting wafer surface parameters of the wafer surface three-dimensional image; the surface detection model is obtained by pre-training a wafer surface parameter sample and a sample pair associated with a wafer surface two-dimensional image sample and a wafer surface three-dimensional image sample, and the wafer surface two-dimensional image sample is obtained by scanning a wafer sample through a scanning electron microscope; the wafer surface three-dimensional image sample is obtained by scanning the same wafer sample through three-dimensional detection equipment, and the wafer surface three-dimensional image sample is bound with wafer surface parameters. Compared with a pure two-dimensional image of the wafer surface, the accuracy of surface data detection is improved while the detection speed is ensured.

The invention provides an image fusion stereoscopic display method and system based on a Unity engine, and relates to the technical field of computer graphics and virtual reality. According to the method, a left-eye camera and a right-eye camera are configured in a Unity scene, left and right view angle images are collected according to interpupillary distance parameters, and left-eye and right-eye rendering textures are generated; generating a UI texture according to the Canvas type of the UI element, executing parallax compensation, pixel alignment and image fusion processing through a Compute Shader, and superposing image layers according to the transparency of the UI texture to generate a synthetic display image; and introducing a previous frame result into the fused image, and realizing time continuous output based on an inter-frame smooth function. And outputting the synthesized texture to a device supporting a plurality of stereoscopic display modes through a graphic rendering pipeline. According to the method, efficient fusion of the 3D image and the UI is realized, the rendering efficiency and the visual immersion are improved, and the method is suitable for scenes such as virtual reality, augmented reality and digital twinning.