385 results about "Texture mapping" patented technology

The invention discloses a digital twin three-dimensional scene modeling method based on a webGPU, and relates to the technical field of three-dimensional scene modeling and graphic computing, multi-source sensing data are asynchronously sampled from sparse point cloud, a video texture sequence, a scene semantic tag graph and a structure boundary tuple, and a six-dimensional structure unit group is generated through a normalization operator; constructing a structural unit atlas with nodes representing component entities and edges representing constraint relations, and introducing a tension balance mechanism and multi-scale constraints to generate a modeling path prior model; constructing a graph calculation and graph rendering dual-channel assembly line in the WebGPU, and executing parallel texture mapping and boundary fitting operation; a dynamic sensing module is used for capturing scene disturbance and driving atlas response, and incremental reconstruction of the model is achieved; and finally, mapping the model to a Web terminal, and supporting microscopic semantic query and multi-layer data linkage. According to the method, the response speed, semantic consistency and structural adaptability of three-dimensional modeling in a complex environment are improved.

The invention provides a three-dimensional modeling processing method based on unmanned aerial vehicle oblique photography. The method is applied to the technical field of three-dimensional modeling, and comprises the following steps: obtaining a serialized image set containing geographical coordinate information according to original image data collected by an oblique photography camera carried by a multi-rotor unmanned aerial vehicle; according to time-space synchronization parameters of the serialized image set, determining a multi-view image matching relation matrix with an overlapping degree quantitative index; determining mixed three-dimensional point cloud data fusing sparse point cloud and dense point cloud according to geometric constraint conditions of the multi-view image matching relation matrix; determining an initial three-dimensional grid model with multi-level details according to the topological connection relationship of the mixed three-dimensional point cloud data; and determining an optimized three-dimensional model based on adaptive texture mapping according to the surface curvature distribution characteristics of the initial three-dimensional mesh model. In this way, the efficiency of three-dimensional modeling can be improved.

The invention discloses an urban building three-dimensional automatic modeling and visualization method, and belongs to the technical field of building three-dimensional modeling. The method comprises the steps that point cloud data, high-resolution images and geographic information system data of urban buildings are acquired, data cleaning, registration and alignment are carried out, and preliminary building digital representation is formed; accurately segmenting each building, and identifying the contour and main structural features of the building; based on the data integrity and the building complexity, adaptively selecting a proper reconstruction strategy to carry out three-dimensional reconstruction; in the reconstruction process, the geometric structure is analyzed and optimized in real time, and potential topological problems are repaired; automatically generating missing details based on a predefined architectural style library and a component library, and performing material inference and texture mapping; a graph structure is used for representing the relation between the buildings, and the positions and orientations of the buildings are adjusted through a global optimization algorithm; a rendering engine supporting multi-level detail switching is developed, and smooth visualization and interaction of a large-scale city scene are achieved.

The invention discloses a three-dimensional panoramic intelligent monitoring method and device for a coal conveying gallery, and relates to the technical field of industrial automation and intelligent monitoring, and the method comprises the steps: obtaining initial point cloud data and an initial multispectral image of the coal conveying gallery through a rotary laser radar, a high-dynamic-range camera and an infrared thermal imager; inertial measurement units are arranged in the devices to collect vibration data, and the vibration data are used for carrying out vibration compensation on point cloud and images to generate target point cloud data and target multispectral images; thirdly, performing three-dimensional modeling and multispectral texture mapping on the coal conveying gallery based on the data to obtain a target three-dimensional model; and finally, mapping equipment, personnel and environment data into the three-dimensional model in real time, displaying each piece of state information, and realizing comprehensive monitoring. According to the application, high-precision three-dimensional panoramic monitoring can be realized in a complex vibration environment of the coal conveying gallery, and the safety management level and the operation and maintenance efficiency of the coal conveying gallery are effectively improved.

The invention relates to the field of commodity visualization, in particular to a commodity display interaction visualization method and device. The method comprises the following steps: collecting a multi-azimuth image of a commodity, carrying out three-dimensional texture modeling, and constructing a three-dimensional texture mapping model; performing material light rendering on the three-dimensional texture mapping model to generate a material rendering result; collecting an environment detection image of a commodity display environment, and performing environment illumination adaptation compensation on a material rendering result to obtain an illumination compensation rendering commodity; carrying out attribute information visual layout on the illumination compensation rendering commodity to obtain a commodity visual space; and carrying out interaction response animation analysis according to the commodity visualization space, carrying out multi-target parallel rendering, and executing commodity interaction visualization operation. The form and surface details of the commodity in the real world are accurately restored, the visual reality sense is improved, and the interactive experience feeling of browsing the commodity by a user is enhanced.

The invention relates to the technical field of computer graphics, in particular to a real-time three-dimensional graphic rendering optimization method and device based on deep learning, and the method comprises the steps: carrying out the feature extraction of the geometric, texture and illumination information of a graphic through a multi-modal deep neural network, and generating a high-dimensional feature vector; dynamically adjusting the resolution of the triangular mesh by adopting a graph neural network, and outputting an optimized geometric mesh structure; predicting global illumination of the graph by using a neural radiation field model, and generating an optimized illumination map through a variational auto-encoder; performing fusion analysis on the illumination map and the texture data by using a visual Transform model to generate an adaptive texture mapping scheme; and in combination with a rendering scheduling strategy of deep reinforcement learning and a super-resolution reconstruction method of a generative adversarial network, a rendering result is optimized, and a rendered image is post-processed. According to the method, multiple deep learning technologies are comprehensively utilized, and the quality and efficiency of real-time three-dimensional graph rendering are remarkably improved.

The invention provides a three-dimensional modeling and mapping method, system and device based on a fixed-wing unmanned aerial vehicle, and relates to the technical field of geographic mapping. According to the method, through synchronous data acquisition of an inclined camera, a laser scanner and a position and attitude measurement system, and in combination with navigation trajectory calculation, point cloud coordinate transformation, image attitude calculation and multi-source data fusion processing, space collaboration of image data and point cloud data is realized under a unified coordinate system. And performing aerial triangulation based on the fused data, further carrying out spatial modeling and texture mapping, and effectively improving geometric consistency and modeling continuity among multi-source data. According to the method, ground control points do not need to be arranged, high-precision and high-consistency geographic space information expression can be achieved, and real scene modeling and multi-type surveying and mapping data result generation in a large-scale mapping scene are supported.

The invention discloses a bronze ware ornamentation and pattern digital restoration method based on an image enhancement technology, and relates to the technical field of image restoration, and the method comprises the steps: building a space mapping matrix; extracting multi-modal data features by using the surface state of the topological insulator, and registering a joint data volume; forming a super-resolution image through super-resolution reconstruction; obtaining a material degradation coefficient by using a wavelet finite element method and a graph neural network; generating an adversarial network by utilizing physical constraints, and generating an embarrassment repairing result; a material sensing three-dimensional model is constructed by adopting a wavelet packet decomposition and neural radiation field fusion technology, texture mapping is dynamically adjusted based on a graphene Moire effect, and virtual-real fusion is performed through holographic waveguide AR; by combining advanced technologies such as a metamaterial lens, micro-distance laser scanning, a topological insulator film, a graphene heterojunction and a nerve radiation field, high-precision three-dimensional digital restoration and repair of bronze cultural relics are realized, and immersive augmented reality display experience is provided.

The invention discloses a tunnel fracture recognition method based on three-dimensional live-action reconstruction and ordered re-acquisition of a virtual camera. The method specifically comprises the following steps: acquiring a multi-view rock fracture image; acquiring three-dimensional point cloud data of a tunnel wall surface according to the acquired rock mass fracture image, reconstructing a geometrical shape of the tunnel, mapping acquired texture information to a three-dimensional grid vertex through an image processing algorithm, and generating a three-dimensional tunnel model; setting parameters of the virtual camera, orderly collecting to form a virtual image, and enabling the position of the virtual camera to correspond to the real position of the model; and extracting information of the crack of the virtual image, and projecting the coordinates of the two-dimensional image back to the three-dimensional space through the projection matrix to obtain the space coordinates of the crack. A virtual image is generated by combining a texture mapping technology of a three-dimensional model, so that the limitation of a visual angle, illumination and space in actual image acquisition is overcome, and high-precision identification of tunnel cracks is realized.

The invention provides a chip bonding wire three-dimensional measurement method and system based on an inner cavity reflection camera system, and relates to the technical field of three-dimensional measurement. The method comprises the following steps: performing one-time exposure imaging on a chip bonding wire to be detected through an inner cavity reflection camera system to obtain at least three mutually independent visual angle images in the same frame; performing brightness normalization compensation and geometric calibration on the visual angle image to obtain a visual angle data set with uniform brightness and correlation; pairing the view angle data sets in pairs, extracting parallax information by using a feature matching algorithm based on optical flow, and fusing multiple pairs of parallax to generate a lead three-dimensional point cloud; performing noise filtering and curved surface reconstruction on the three-dimensional point cloud to obtain a continuous three-dimensional grid model of a lead; and performing texture mapping on the three-dimensional grid model by adopting any visual angle in the visual angle image or the combination of the visual angles, and outputting a lead three-dimensional reconstruction result with textures. According to the invention, high-precision, large-depth-of-field and rapid three-dimensional measurement of the chip bonding wire is realized.

The invention provides a digital information processing method for a hospital radiology department, which comprises the following steps: S1, multi-modal image collaborative acquisition and standardization: synchronously acquiring anatomical structure images, functional images and metabolic parameter data of a patient through radiology department imaging equipment, and converting the anatomical structure images, the functional images and the metabolic parameter data into space-time aligned three-dimensional digital matrixes; s2, image quality optimization processing: performing nonlinear contrast enhancement and noise suppression on the original image to improve the signal-to-noise ratio of a target area; s3, dynamic self-adaptive registration: according to the biomechanical characteristics of the organ, fusing the rigid transformation model and the elastic deformation model, and according to the digital information processing method for the hospital radiology department, based on the dynamic registration matrix of the biomechanical model, improving the multi-modal image fusion precision; a deep learning segmentation algorithm fused with morphological constraints improves the focus boundary recognition accuracy; a texture mapping three-dimensional reconstruction technology is mixed, and an anatomical structure and metabolism information are presented at the same time; the invention discloses a structured report automatic generation system based on an attention mechanism.

The invention discloses a cultural relic digital fingerprint identification method based on geometric texture and spectral information, and the method comprises the steps: obtaining multi-source data, carrying out the texture mapping, and forming a three-dimensional grid model with texture data; curvature values and topological features of all vertexes of the three-dimensional grid model are calculated, feature fusion is carried out on the basis of local saliency adjustment feature weights, and fingerprint point location screening is completed; based on the screened fingerprint point locations, a significant plane is constructed through a bit plane, and texture features of the cultural relics are extracted based on an improved histogram and a gray-level co-occurrence matrix; extracting characteristic wave bands of the cultural relics based on the screened fingerprint point locations in combination with the hyperspectral data; and multi-modal fusion identification is carried out based on features of geometry, texture and spectral information. According to the method, the geometric structure, the texture features and the hyperspectral information are fused, multi-mode collaborative cultural relic identity high-precision identification is achieved, and the method has the advantages of being high in accuracy, high in robustness, good in interpretability and capable of adapting to complex environments.

The invention is suitable for the field of image processing, and discloses a multi-source point cloud data fusion method, terminal equipment and a storage medium. The multi-source point cloud data fusion method comprises the following steps: acquiring target data synchronously acquired by a plurality of three-dimensional scanning devices, wherein the target data comprises a plurality of point cloud data and a plurality of texture images; performing multi-source point cloud fusion on the plurality of point cloud data to obtain a three-dimensional grid model, and associating the three-dimensional grid model with the plurality of texture images; and performing texture mapping on the three-dimensional grid model according to the plurality of texture images to obtain a three-dimensional texture map. According to the method, the flexibility and fusion precision of dynamic scanning are improved, and the defect that a traditional fixed array is difficult to adapt to layout changes is overcome.

The invention relates to the technical field of image processing, in particular to a drainage pipeline defect three-dimensional quantification method and device based on vision, and the method comprises the steps: carrying out the at least one processing of sparse point cloud reconstruction, dense point cloud reconstruction, grid reconstruction, texture mapping and scale calibration of a collected visual image, obtaining a real three-dimensional model of the drainage pipeline; calculating a central point of the drainage pipeline based on the real three-dimensional model, and calculating a central line of the drainage pipeline according to the central point; and based on the center line, identifying at least one actual defect of a staggered joint defect, a disjunction defect, a fluctuation defect and a deformation defect of the drainage pipeline, so as to output actual defect information of the drainage pipeline according to the at least one actual defect. Therefore, the problems of incomplete identification or misjudgment of information such as cracks, leakage and sediments and the like caused by low efficiency and detail missing due to relatively great influence of manual subjective judgment or sparse laser point cloud in related technologies are solved.

The invention relates to the technical field of computer vision and virtual reality, and discloses a three-dimensional video fusion method based on camera self-calibration and projection texture mapping, and the method comprises the following steps: S1, obtaining video data, and collecting at least one frame of two-dimensional image in a to-be-fused video stream; optionally, the two-dimensional image is preprocessed; and S2, calibrating internal reference of the camera, detecting linear features in the two-dimensional image by using an image processing algorithm, estimating the position of a vanishing point by using a least square method or other optimization algorithms based on the detected linear segment, and calculating an internal reference matrix of the virtual camera according to the optimized vanishing point position. The perspective relation between the video image and the surface of the three-dimensional model is determined through the vanishing point detection technology, accurate fusion of the video image and the three-dimensional model is achieved, the sense of reality of a virtual scene is improved, and the tedious camera calibration process and the complex three-dimensional reconstruction process based on a calibration plate are avoided.

The invention relates to the technical field of three-dimensional scanning, and discloses a binocular three-dimensional scanning system and method with a texture mapping function. The system comprises a depth data acquisition module, a depth data correction module, a point cloud topology construction module, a texture mapping engine module and a mapping optimization module. The depth data acquisition module synchronously acquires a left view and a right view of a target object through a binocular camera array, and generates an original depth image data set; the depth data correction module performs abnormal value detection on the original depth data, extracts discrete distribution through aggregation boundary analysis and replaces abnormal values; the point cloud topology construction module generates a three-dimensional point cloud spatial topology structure, and associates point cloud coordinates with left view pixel positions; the texture mapping engine module projects left view RGB data to the point cloud to generate an initial texture map; and the mapping optimization module verifies the local color consistency through the generative adversarial network, and outputs an optimized three-dimensional texture model. The system improves the texture precision and authenticity of the three-dimensional model.

The invention discloses an urban live-action three-dimensional modeling method based on multi-source geographic information coupling, and relates to the technical field of geographic information systems and three-dimensional modeling. The method comprises the steps of 1, data acquisition; 2, data preprocessing; 3, performing three-dimensional modeling; 4, optimizing the model; step 5, applying and displaying; according to the urban live-action three-dimensional modeling method based on multi-source geographic information coupling, feature information of terrains, buildings and traffic facilities can be extracted more accurately, so that the model is kept consistent with an actual object in the aspects of shape, size and the like, and therefore, the accuracy of the model is improved; according to the method, elevation information and reflection intensity data of the earth surface can be captured, the texture image of the building can be more real through the three-dimensional contour extraction and texture mapping technology, the visual quality and detail performance of the model are enhanced, and through application of the virtual reality technology, the construction efficiency is improved. And the user can appreciate beautiful scenery and tourism resources of the city at home.

The invention discloses a Chinese style garden programmed generation method and system, and the method comprises the steps: firstly, carrying out the land and water terrain division according to the land and water distribution data drawn by a user, generating a terrain mask graph, and providing a basis for the subsequent layout; secondly, in a garden layout generation stage, the system screens an area suitable for building placement from the terrain mask graph, optimizes the building layout by using a WFC algorithm in combination with a 3D texture mapping technology, generates a preliminary layout white-box model conforming to garden rules, and optimizes building orientation and path connectivity; and finally, in a single building generation stage, the system generates a building model comprising a framework and a small component structure according to building parameters input by a user, and decoration details are added to perfect the appearance of the building. According to the method, the basic rules and diversified expression requirements of the Chinese style building are met, the learning cost of the user can be reduced through parameterized adjustment and interaction functions, the creation efficiency is improved, and the digital generation effect and the propagation effect of the Chinese style garden are remarkably improved.

The embodiment of the invention discloses a three-dimensional landform model reconstruction method and device based on geometry and texture combination. A specific embodiment of the method comprises the following steps: carrying out self-adaptive grid division on a landform three-dimensional point cloud and then carrying out geometric super-resolution to obtain a target three-dimensional landform sub-grid; performing color texture mapping and texture correction enhancement on the target three-dimensional landform sub-grids to obtain an enhanced landform texture map; performing collaborative bidirectional optimization on the enhanced landform texture map and the target three-dimensional landform sub-grids to obtain a super-resolution landform texture map and a super-resolution three-dimensional landform sub-grid; performing model recombination and fusion on the plurality of super-resolution landform texture maps and the plurality of super-resolution three-dimensional landform sub-grids to obtain a three-dimensional texture landform grid model; and performing density control reconstruction processing on the three-dimensional texture landform grid model to obtain a three-dimensional density texture landform model, and storing the three-dimensional density texture landform model. According to the embodiment, the quality of the three-dimensional density texture landform model can be improved, and waste of storage resources is reduced.

The invention discloses a transformer substation construction site three-dimensional map construction device and method, and the device comprises a three-dimensional scanning laser radar which is used for collecting three-dimensional point cloud data; the RTK positioning module is used for acquiring position data; the panoramic camera is used for acquiring panoramic image data of a construction site; the attitude sensor is used for acquiring dynamic attitude information; the main control unit is used for receiving the collected data information and carrying out data processing, data fusion and three-dimensional map construction; the communication module is used for sending the three-dimensional map constructed by the main control unit to the sink node; the power supply unit is used for providing power support; and the main control unit fuses the image data and the three-dimensional point cloud data through a texture mapping algorithm to generate a three-dimensional map of the true color point cloud. By adopting a multi-sensor fusion technology and an efficient algorithm processing method, an accurate three-dimensional map can be constructed in real time in a dynamic construction environment, the intelligent level of construction site management is improved, and efficient implementation of the construction process is promoted.

The invention discloses an adversarial texture generation method and system applied to a depth estimation model. The method comprises the following steps: generating an initial adversarial texture pattern based on a potential vector driving pattern generator; performing up-sampling processing on the initial confrontation texture pattern to obtain an up-sampling texture pattern; mapping the up-sampling texture pattern to a specified area of the object model, and performing image rendering on the mapped object model M by using a rendering engine to generate an object image; performing background synthesis on the object image to generate a complete scene attack image; inputting the complete scene attack image into the depth estimation model to obtain the predicted depth of the image at the current view angle; and designing a loss function for optimization based on the predicted depth and the reference depth. According to the scheme, based on the potential vector driven generator, texture mapping and background synthesis processing, the method is not limited to a two-dimensional image task any more, the training efficiency is improved, and the diversity and stability of generated textures are improved.

The invention relates to the technical field of digital twinning, particularly provides a digital twinning construction method based on multi-source point cloud data fusion, and solves the problems of low multi-source point cloud data fusion precision, low calculation efficiency and poor adaptability to complex scenes in the prior art. The method comprises the following steps: S1, preprocessing multi-source point cloud data: carrying out data denoising and coordinate unified processing on the point cloud data of each source; s2, designing a point cloud data fusion algorithm: performing feature extraction and description, feature matching and fusion decision and weighted fusion calculation on the preprocessed point cloud data to obtain fused point cloud data; s3, constructing and optimizing a digital twinborn model: performing triangular mesh generation, model optimization processing, texture mapping and attribute addition on the fused point cloud data, and constructing the digital twinborn model; the digital twinning construction method based on multi-source point cloud data fusion can effectively solve the problems that multi-source point cloud data fusion is low in precision, low in calculation efficiency and poor in adaptability to complex scenes.

The invention relates to the technical field of mining area emergency management, and discloses a mining area three-dimensional visual emergency management system which comprises a data acquisition module and a three-dimensional sand table generation module. The data acquisition module is used for acquiring dynamic data including geological structures (including static exploration and dynamic sensor data), disaster hidden dangers and environmental monitoring; the three-dimensional sand table generation module processes data through a three-dimensional visualization engine, the data preprocessing unit completes unification of a space coordinate system, missing data complementation and abnormal value correction, and the scene rendering unit generates a three-dimensional dynamic sand table through texture mapping, spatial feature fusion, spatial coupling modeling and three-dimensional scene synthesis. The system is provided with functional modules of offline data loading, disaster diffusion simulation, escape route planning and the like, and supports cross-platform rendering and user interaction operation. According to the invention, three-dimensional dynamic display and emergency analysis of mining area multi-source data are realized, and the accuracy and timeliness of disaster early warning and emergency decision making are improved.

The invention belongs to the technical field of augmented reality, and discloses an AR scenario furniture identification and dynamic removal system based on artificial intelligence, and the system comprises the steps: carrying out the multi-view image registration, furniture entity segmentation and shielding completion analysis based on the obtained hotel scene AR image sequence data, and forming a complete furniture contour feature; the style similarity of the furniture multi-dimensional feature vectors is analyzed, and a furniture style recognition result is obtained; the method comprises the following steps: acquiring AR scanning data of a home environment, performing furniture removal priority ranking through space conflict analysis and style coordination evaluation, generating a dynamic removal strategy, establishing furniture three-dimensional model data based on the dynamic removal strategy, and performing material texture mapping and shadow fusion to obtain a realistic rendering effect; an interactive optimization adjustment scheme is generated, and scene parameter real-time adjustment and optimization and visual effect improvement are realized through user feedback; the reality sense of virtual home display and the user experience effect are remarkably improved.

This disclosure relates generally to encoding and decoding of 3-dimensional (3D) mesh and specifically to encoding and decoding order and dependency between 3D positions of 3D vertices and 2D positions of 2D texture coordinates of a 3D mesh. In particular, the various embodiments in this disclosure provide a novel method and device to enhance lossless compression of 3D mesh models. The disclosed method and device prioritize encoding texture coordinates before encoding 3D positions. The disclosed method and device further employ angle-preserving position prediction. The disclosed approaches aim to optimize the compression process of 3D meshes by leveraging an inherent correlation between 3D structures and their corresponding 2D texture mappings.

The invention provides a texture mapping method, a texture mapping device, a computer storage medium and electronic equipment, and relates to the technical field of computer graphic processing. The method comprises the following steps: acquiring a world space coordinate and a world space normal of a vertex of a target model; performing texture projection on the world space coordinates on a plurality of world coordinate axes to obtain target texture coordinates of the vertexes of the target model on the world coordinate axes; determining a texture weight value based on the included angles between the world space normal and the plurality of world coordinate axes; and carrying out texture sampling according to the target texture coordinate to obtain an initial map sampling result, and carrying out mixed sampling on the initial map sampling result and the texture weight value on the corresponding world coordinate axis to carry out texture mapping on the to-be-processed model based on the target map sampling result. The method can get rid of dependence on a model topological structure and UV expansion of a three-dimensional model, and realizes a more real, natural, accurate and flexible texture fitting effect without deformation stretching.

The invention discloses an image acquisition method based on three-dimensional modeling, and the method comprises the steps: A, improving the modeling robustness of a complex scene through the integration of a multi-modal sensor, including a visible light camera, a laser radar, an infrared sensor and a six-axis IMU, through the fusion of a data level, a feature level and a decision level; b, evaluating scene complexity in real time by using a convolutional neural network, dynamically adjusting parameters of resolution, frame rate, exposure time and equipment path, and realizing AI adaptive acquisition; c, geometric point cloud modeling and multi-view texture mapping are combined, global model precision is adjusted and optimized through a bundle method, and a hybrid modeling framework is formed. By combining the multi-modal data fusion technology and the artificial intelligence self-adaptive acquisition mechanism, the precision and efficiency in the three-dimensional modeling process are greatly improved, meanwhile, the adaptability of the model to different scenes is remarkably enhanced, the dependence on complex environmental conditions is effectively reduced, and the three-dimensional modeling technology is more flexible and reliable.

The invention belongs to the technical field of three-dimensional model modeling, and particularly relates to a method for constructing a foreign body model of a nuclear power plant foreign body digital museum. Comprising the following steps: step 1, collecting close-range image data of a target foreign body, generating point cloud data by using feature matching and a neural radiation field, calculating a normal vector of each point, and segmenting the point cloud data through a region growing algorithm to obtain a point cloud model of the target foreign body; 2, generating a surface grid model of the foreign matter by adopting a Poisson reconstruction algorithm, and finishing and optimizing the grid model by analyzing the solid structure of the foreign matter to obtain a refined foreign matter fine model; and 3, generating high-fidelity texture mapping by adopting a method based on texture reconstruction and rendering in combination with foreign matter surface features and close-range image data, and rendering illumination and reflection effects for the model to realize visual optimization. The method has the beneficial effects that the high-fidelity three-dimensional model of the foreign matter can be efficiently generated, and the damaged area can be effectively repaired.

The invention discloses a laser point cloud-based industrial equipment digital twin model rapid reconstruction method and system, and the method combines a model matching mode and a point cloud reconstruction mode, and effectively solves the problem of twin model reconstruction in different scenes. According to the first mode, on the basis of an existing three-dimensional model, through shape matching, feature extraction and model retrieval methods, registration of point cloud data and the three-dimensional model is combined, and rapid reconstruction of the equipment twinborn model is successfully achieved. The mode is suitable for equipment with an existing standard three-dimensional model, the repeated utilization rate of the model can be improved, and the reconstruction time and cost are reduced. In the second mode, the reverse grid model construction method based on the point cloud data is provided for equipment which cannot be retrieved through an existing model. Through an improved greedy projection triangulation algorithm, point cloud data is converted into a grid model, and the precision and authenticity of the model are improved in combination with a grid optimization algorithm and a surface texture mapping technology. According to the method, the digital twinborn model of the industrial equipment can be efficiently and accurately reconstructed, the modeling difficulty in an industrial scene is relieved, the actual demand of field modeling is met, and the method has high application value and practicability.

The invention relates to the technical field of three-dimensional modeling, and discloses a texture mapping method and device based on geometric morphology, and the method comprises the steps: carrying out the data analysis of the geometric morphology of an initial three-dimensional model, and obtaining a plurality of geometric features of each surface point; dividing texture grades based on the plurality of geometric features of each surface point to obtain a plurality of texture grade areas; generating a target texture based on the plurality of geometric features of each surface point; based on the texture grade area to which each surface point belongs, mapping the target texture to the initial three-dimensional model to obtain a hybrid three-dimensional model; and based on the plurality of geometric features of each surface point, adjusting the texture of the hybrid three-dimensional model to obtain a target three-dimensional model. Texture mapping is carried out based on the geometric features of the model surface, compared with manual mapping, it is ensured that the texture of each area is highly matched with the geometric features, texture distortion and distortion are avoided, the detail expressive force and the visual effect are improved, and meanwhile the automation degree and the working efficiency of the texture mapping process are improved.