108 results about "Isosurface" patented technology

The invention relates to the technical field of three-dimensional model reconstruction, in particular to an existing building three-dimensional model reconstruction system based on point cloud data, and the system comprises a point cloud data processing module which carries out the octree recursive space subdivision of input point cloud data, builds a hierarchical index structure, and generates a multi-view fusion point set. In the method, octree recursive space subdivision is performed on the input point cloud data to establish a hierarchical index structure, so that the key area of the building surface can be positioned more accurately in subsequent data processing, data redundancy is reduced, and the precision and efficiency of three-dimensional model construction are improved; then voxel depth field data is obtained by calculating a truncation symbol distance function value of voxels, the description accuracy of a building surface structure is improved, and an initial surface grid is formed through contour surface extraction; meanwhile, plane slicing is conducted on the multi-view fusion point set in the preset building main axis direction, and contour details of all building structure sections are captured.

The invention relates to the technical field of wind power road geological analysis, in particular to a three-dimensional geological modeling and section visualization method and system for wind power road construction. The method comprises the following steps: establishing a geological drilling data matrix through geological drilling data; extracting geological attribute data through lithology analysis, calibrating the relationship of each stratum through sequence analysis, constructing a standardized geological drilling data set, constructing a spatial continuous geological attribute scalar value distribution model through a Gaussian process interpolation algorithm, and constructing an implicit function by taking the geological attribute scalar value distribution model as the implicit function. And generating a three-dimensional geologic model through a contour surface extraction algorithm, carrying out geologic attribute scalar value extraction on the three-dimensional geologic model based on the road route data, generating wind power road profile data, and visualizing a data result. An efficient and low-cost solution is provided for geological judgment and optimization in wind power plant road design, the requirements for accuracy and high efficiency of engineering projects are met, and reliable guarantee is provided for wind power road construction.

The invention provides a narrow gap swing laser welding pool wettability prediction method based on CFD simulation. The method comprises the following steps that an interaction platform is constructed through Python + PyQt5, and geometric modeling, UDF compiling and a material library module are integrated; the groove parameters and the swing track are dynamically loaded to a Fluent solver, and a full-coupling transient model of a steam recoil pressure-buoyancy-molten drop mass source item is established; in CFD-POST, the widest section of the molten pool is positioned on the basis of the contour surface with the volume fraction being 0.5, and Z-direction displacement-flow velocity data are extracted along the two side wall surfaces; fusing defects are predicted through double criteria of a bilateral average flow velocity difference threshold value and F test variance homogeneity; according to the method, dynamic quantitative evaluation of wetting behaviors can be achieved, the process development period is shortened, the defect detection rate is increased, and the method is suitable for aerospace thick plate welding quality control.

A computer-implemented process for creating 3D objects from 2D images includes receiving an input image, conditioning a generative model using image-derived, voxelized three-dimensional features, generating, by a transformer-based rectified-flow generative model parameterized as a base network optionally coupled to one or more low-rank adapter modules activatable at inference, a volumetric latent of the target object, the volumetric latent including a sparse, feature-augmented volumetric lattice obtained by transporting an initial random sample toward a learned manifold via a rectified-flow sampling process, decoding the volumetric latent by mapping the volumetric latent to a feature-bearing sparse volumetric field consistent with the volumetric lattice, decoding the field to a continuous implicit surface function, and extracting a watertight mesh by isosurface extraction, estimating camera-pose parameters by render-and-compare alignment between silhouettes rendered from the mesh and silhouettes of the input image, and, performing style-preserving inverse rendering on the mesh that updates UV-space albedo and material maps.

The invention belongs to the technical field of three-dimensional surface reconstruction, and particularly relates to a robust three-dimensional surface reconstruction method based on multi-scale fusion. Acquiring three-dimensional point cloud data, fitting local implicit curved surfaces of neighborhood points by adopting a weighted least square method, and generating a geometric reconstruction grid model; extracting geometric features in different receptive fields through multi-scale convolution, introducing channel attention, space attention and a gating mechanism to perform weighted fusion on the geometric features in different receptive fields, enhancing a global dependency relationship by adopting a feature mixing operation, and generating a deep learning grid model; performing double-branch fusion on the geometric reconstruction grid model and the deep learning grid model, highlighting a geometric sensitive area, and obtaining a fused enhanced feature; inputting the fused enhanced features into an implicit function decoder, and predicting a signed distance function value of each vertex; and based on the predicted signed distance function field, a contour surface extraction algorithm is adopted to generate a triangular mesh model, so that three-dimensional surface reconstruction is completed.

The invention provides a video point cloud data fusion and curved surface reconstruction method based on a digital twin scene, and belongs to the technical field of video processing. Then, inertial data is mapped to a Lie group manifold space, and a continuous trajectory model is constructed by using B spline fitting; based on the model, accurately calculating a first pose transformation matrix at the exposure moment of each row of pixels and a second pose transformation matrix of each laser point; then, projecting the point cloud to a global coordinate system by using the second matrix, and generating multi-dimensional feature mapping data of space-time registration by combining the first matrix, the internal reference and a perspective principle; and finally, inputting the data into a voxelization truncated symbol distance field, synchronously updating a distance value and a color weight, and generating a high-fidelity digital twin three-dimensional curved surface by extracting a zero level set contour surface.

The invention provides an underground engineering leakage three-dimensional detection method, which comprises the following steps of: arranging a three-dimensional electrode system on an outer side and an inner side drill hole of a to-be-detected underground enclosure structure, and detecting and recording potential data and space coordinates of an electrode array; repeatedly collecting and preprocessing the collected potential data to eliminate the influence of current intensity difference and stratum conductivity difference; based on the physical coupling relationship between the electric field intensity and the formation resistivity, filling the data blind area of the inter-hole area; the three-dimensional space model of the electric field intensity is optimized and fitted through an intelligent algorithm, a three-dimensional equal-straight-plane image of the electric field is generated after data reliability is verified, and space coordinates of an electric field abnormal area are marked as suspected leakage points. The problems that in an existing detection method, positioning is not accurate, and the applicability is limited are solved.

The invention relates to the technical field of radiation environment monitoring, and discloses a dose calculation method and system based on radiation environment monitoring data. The method comprises the following steps: acquiring radiation source data, calculating initial radiation field distribution based on the data, obtaining an initial dose deposition value of each space point in a monitoring area, analyzing interaction among particles, and determining an energy redistribution coefficient of each space point; adjusting the initial dose deposition value point by point by using the coefficient to obtain corrected three-dimensional dose concentration field data, calculating a gradient vector between spatial points, and generating an optimized gradient distribution diagram; extracting a boundary point set with gradient change exceeding a threshold value, constructing a contour surface grid to form a three-dimensional contour surface structure, obtaining a time sequence radiation source data iteration updating coefficient, and obtaining a concentration field time sequence evolution sequence; the high-concentration area is identified and marked based on the sequence, the high-concentration area and the three-dimensional contour surface structure are fused, a visual distribution model reflecting the dose concentration is generated, and the accuracy of radiation dose calculation is improved.

The invention discloses a three-dimensional scene reconstruction method for obtaining real three-dimensional data based on simple shooting, and the method comprises the steps: 1, carrying out the surrounding video shooting of a target object through a camera of a cellphone, and obtaining the video data containing the target object; 2, decomposing the video data into a plurality of image sequences according to frames, and optimizing the image sequences to generate an original image sequence; 3, performing streaming segmentation on the original image set frame by frame to obtain a mask sequence of the target object, and obtaining a foreground image sequence according to the mask sequence; step 4, performing camera pose estimation on the original image set; step 5, inputting the foreground image sequence and corresponding camera internal and external parameters into a 2DGS model to generate an initial three-dimensional scene; and step 6, performing fine processing on the generated three-dimensional scene, generating a color map and a depth map in the 2D three-dimensional scene for mapping a voxel network, and extracting a contour surface on the voxel network to obtain a final three-dimensional scene.

The invention discloses a virtual reality level simulation method based on a material point method and gridding surface reconstruction, and belongs to the crossing field of computer graphics, physical simulation and virtual reality technologies. The method comprises the following steps: S1, classifying and storing position coordinates of material points according to material numbers of the material points, and traversing the coordinates to obtain a boundary of a bounding box of the material points; s2, selecting a grid size and a boundary extension distance for reconstructing the surface in a self-defined manner, and generating a grid; s3, selecting a Gaussian function to calculate the contribution of each substance point to the overall substance point density field, and obtaining parameters; s4, calculating the contribution of each substance point to the overall substance point density field, and performing accumulation to obtain the overall substance point density field; and S5, obtaining a contour surface of the overall material point density field, and exporting the contour surface as a rendering engine general three-dimensional model to obtain a simulation visual effect. According to the method, the problems that in the prior art, tens of millions of substance points cannot be processed, reconstruction parameters are difficult to select, and connection with a high-end rendering engine is not smooth can be solved, and the virtual reality level simulation visual effect is achieved.

The invention discloses a geologic body implicit modeling method and a geologic body implicit modeling system fusing stratigraphic constraint rules. The method comprises the following steps: defining a topological relation and an implicit potential field function of geological units in a three-dimensional space; based on the geological data, utilizing an implicit function interpolation method to generate an equipotential surface expression of each geological interface, and orderly splicing the geological interfaces; performing constraint definition according to geological conditions; defining a geological interface direction and a geological sequence based on the geological age; and determining the lithology type of any position in the space, and extracting a contour surface of the geologic body by adopting a multi-domain implicit surface reconstruction method for segmentation and reconstruction to obtain a topologically consistent three-dimensional geologic body model. According to the method, on the basis of the generalized radial basis function interpolation method and the PFM potential field method implicit modeling, various geological rule constraints are met, the high-precision three-dimensional geologic body model is automatically generated through the expanded curved surface reconstruction method, and the efficiency and reliability of geologic body implicit modeling are greatly improved.

The invention relates to the technical field of cultural relic modeling, solves the technical problems of low operation efficiency and low modeling accuracy in the prior art, and particularly relates to a cultural relic three-dimensional digital adaptive modeling method which comprises the following steps: S1, obtaining three-dimensional point cloud data of a cultural relic to generate a point cloud data set, determining a neighborhood point set based on the point cloud data set and obtaining a plurality of scale features through feature decomposition; according to the method, the complexity of algorithm operation can be effectively reduced through global implicit values, the error rate of the point cloud data can be effectively reduced through axial alignment of the point cloud data, the processing time is shortened by using contour surfaces, and the processing efficiency is improved. And finally, through smoothing processing of a three-dimensional smoothing operator, carving details of the cultural relics can be better reserved, the three-dimensional model is more accurate, the operation efficiency can be improved, and high accuracy can be achieved.

The invention relates to the technical field of intelligent design of optical lenses, and discloses a multi-series superposed complex periodic structure arrangement method and system.The method comprises the steps of normalized coordinate transformation, multiple sine wave superposition, an iterative function system, a Julia set algorithm, an LSystem grammar system, parameter adjustment, moire fringe fusion and the like; and a complex periodic structure with high complexity, adaptability resistance and natural morphological characteristics is generated. Advanced technologies such as logarithm uniform distribution wave number generation, a chaos game algorithm, linear mapping complex number conversion, a turn graph interpreter, multi-scale entropy complexity quantification and an Otsu automatic threshold method are adopted, and accurate parameterization control and manufacturing adaptation are achieved. The system comprises a coordinate transformation module, a wave interference calculation module, a fractal generation module, a complex power system module, an LSystem processing module, a parameter control module and a contour surface extraction module. According to the invention, a systematic solution can be provided for complex structure design of optical devices such as myopia prevention and control lenses.

A method and system provide for extracting an isosurface. A set of sampling lattices are created based on a sampling resolution and a region of interest. The set of lattices cover a scalar field and are tiles made up of shapes. The scalar field is evaluated based on the set of sampling lattices to generate a value for each tile, convert the values to cells, and assign an index to each cell. For each cell, the index is utilized to identify, in a lookup table, an enumerated shape. For each identified enumerated shape that contains an isosurface crossing, an isosurface connection is estimated between new points of edges of the identified shape. A mesh is created to connect the new points and utilized as the extracted isosurface.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Registration Engine that identifies a region of interest from an infrared image portraying a target portion of a physical anatomy in a current physical pose. The Registration Engine generates a 3D point cloud of the region of interest. The Registration Engine identifies region of interest isosurface data by detecting matches between isosurface data and the 3D point cloud. The Registration Engine determines display location, at the target portion of the physical anatomy, for the region of interest isosurface data. The Registration Engine renders an Augmented Reality (AR) display of medical data with respect to the display location.

The invention discloses an end-to-end field optimization surface reconstruction method based on Gaussian sputtering guidance, and belongs to the field of computer vision and computer graphics. Comprising the following steps: 1) Gaussian guidance field optimization: defining an implicit symbol distance field by using a parameterized MLP network, and initializing and optimizing a surface through a microcosmic contour surface extraction method; gaussian units are bound with the extracted surface triangular patches, the positions of the patches are parameterized through the vertexes of the patches, rotation and scaling are carried out, regularization constraints based on the minimum wrapped ellipse and the distribution entropy are introduced, it is ensured that the Gaussian units are accurately attached to the surface and evenly distributed on the surface, and a result obtained through rendering guides field optimization. And 2) local multi-resolution: identifying surface voxels based on the optimized symbol distance field to carry out adaptive octree subdivision so as to realize multi-resolution improvement. And 3) adopting an inner and outer double-layer cyclic training architecture, optimizing the symbolic distance field and the grid geometric parameters on the outer layer, and optimizing a bound Gaussian unit on the inner layer to realize end-to-end joint optimization of surface geometry and Gaussian rendering.

The invention relates to the technical field of medical image calculation, in particular to a heart three-dimensional polygon mesh construction method and system, and the method comprises the steps: firstly obtaining and registering an image, generating an inductor density and a signed distance field based on boundary features, and fitting anatomic anchor points; determining a patient specific three-dimensional domain through mass conservation transmission and homeomorphic deformation; constructing pull-back measurement in the domain, solving three groups of harmonic functions, extracting contour surfaces according to common area constraint, and intersecting to form a network; deformation and harmonic functions are taken as joint unknown quantities, synchronous optimization is carried out in combination with pixel consistency, physical consistency and topological consistency, and the density of the inducer is re-weighted by layer area deviation feedback until convergence. According to the method, the surface net with consistent anatomy, controlled topology and balanced layer is output, and the method is adaptive to diagnosis, treatment and simulation application.

The invention discloses a cellular morphology recognition method and system for pathological analysis, and relates to the technical field of cellular morphology recognition, a feature screening module is used for calculating a morphological analysis direction tensor field, and a first fusion feature and a second fusion feature are obtained through a depth sequence model Transform and a plane sequence model Transform respectively; a multi-head attention mechanism is used for screening the first fusion features and the second fusion features to form screened fusion features, a regulation and control execution module is used for performing contour surface analysis on the direction tensor field to obtain an interlayer equidistant surface sequence, and spiral angle mapping is performed to obtain a reference spiral direction field; and generating a planar spiral layout map and executing variable density spiral network regulation and control. According to the recognition system, through organic combination of multi-dimensional feature fusion, dynamic grid construction and spiral space regulation and control, the pathological analysis capability which is accurate and accords with cell physiological morphological characteristics is realized.

Systems and methods are provided for scanning a dental impression to obtain a digital model of a patient's dentition as an input to computer aided design (CAD) and computer aided manufacturing (CAM) methods for producing dental prostheses. Systems and methods are provided for scanning a physical impression of a patient's dentition and constructing a virtual surface image of the patient's dentition from the scan data thereby obtained. The virtual surface image of the patient's dentition is constructed using isosurfaces and density gradients of a volumetric image and then directly creating a surface image based upon void spaces that correspond to the patient's dentition.

The application belongs to the field of computer graphics, and discloses a fast parallel multi-scale smooth signed distance surface reconstruction method and system, adopts a moving least square method to locally fit point cloud data, and calculates to obtain the Gaussian curvature of the point cloud; a curvature adaptive octree is constructed based on the Gaussian curvature, the octree is used for dynamically adjusting local resolution, capturing geometric details to improve surface reconstruction accuracy; global fitting is carried out through an implicit function, and a zero isosurface is obtained through an octree isosurface extraction algorithm; in the process of iteratively solving a linear system, multi-threading is introduced for parallel calculation. The adaptive octree based on the Gaussian curvature can effectively capture complex geometric details, and the algorithm realizes high-precision surface reconstruction under different scales. In addition, parallel calculation significantly improves the local and overall calculation efficiency, ensuring the efficiency of the algorithm in large-scale data processing. The method provided in the paper provides an efficient and accurate solution for complex surface reconstruction.

The application discloses a phase field simulation method and device of three-dimensional dendrite and electronic equipment, and relates to the technical field of three-dimensional dendrite simulation. The method comprises the following steps: obtaining free energy density; obtaining an initial phase field variable equation, an initial ion concentration equation and an initial electric potential equation; constructing an initial anisotropy parameter function, fitting anisotropy parameters in the anisotropy parameter function to obtain a target anisotropy parameter function; inputting initial conditions and boundary conditions; discretizing the initial phase field variable equation, the initial ion concentration equation and the initial electric potential equation to obtain target phase field variable equations, target ion concentration equations and target electric potential equations in several directions; obtaining target phase field variable distributions, target ion concentration distributions and target electric potential distributions; drawing an isosurface to obtain the morphology of a negative electrode surface or dendrite. The application can reflect the anisotropy of crystal growth from the perspective of three-dimensional space, and can be widely applied in the technical field of rechargeable ion batteries.

This application belongs to the field of image processing and relates to a skin extraction method and system. The method includes: performing nonlinear regression fitting on the prior anatomical features of skin tissue in historical oral images to obtain a skin cutting threshold; acquiring a CBCT image of the oral cavity to be processed; extracting boundary features from the cross-sectional image layers of the CBCT image to be processed based on the skin cutting threshold to obtain a dynamic candidate masking region feature map; applying inter-layer geometric consistency constraints to the dynamic candidate masking region feature map to generate a target skin masking region; extracting the original pixel values ​​within the target skin masking region and suppressing their background values; performing isosurface evolution processing on the suppressed original pixel values ​​to generate an isosurface grid; and performing patch validity screening on the isosurface grid to generate the skin extraction result. This application can reduce the interference of irrelevant data on the extraction result during the skin extraction process and ensure the quality of skin tissue extraction as much as possible.

The invention discloses an automatic reconstruction method and system for an isogeometric topology optimization result editable model, and the method comprises the following steps: obtaining an isogeometric topology optimization result, and obtaining hypersurface model data; extracting contour lines of each layer in a layered manner according to a set density threshold; arranging seed points through the contour line, dividing a background tetrahedral mesh, and deeply searching a mesh edge crossing a density threshold value; judging a corresponding relation between the contour lines, executing different reconstruction strategies according to different corresponding relations, and generating an NURBS curved surface by using an automatic skin technology and an adaptive fitting technology respectively; the contour lines at the opening are identified, the position relation between the cut area and the contour lines is determined, and cutting operation is executed to obtain a cut curved surface; and integrating the NURBS curved surface and the cutting curved surface, and outputting an editable entity. According to the method, the complexity of extracting the contour surface of the optimization result is effectively reduced, the precision of the result model is effectively improved, and the result has the advantages of editability and modifiability.

The present disclosure relates to a three-dimensional dynamic tracking method, device, electronic device and storage medium. The tracking method includes: acquiring facial smile data, three-dimensional tooth data and facial template data; registering the acquired facial smile data, three-dimensional tooth data and facial template data in a preset coordinate system to obtain initial point cloud data; fusing the initial depth point cloud data to obtain an isosurface, and obtaining target depth point cloud data corresponding to the isosurface; back-projecting the target depth point cloud data to initial texture data, and obtaining target texture data corresponding to the back-projected facial smile data; optimizing the initial facial template point cloud data according to the target depth point cloud data to obtain target facial template point cloud data, thereby realizing tracking of facial expression changes; fitting the target facial template point cloud data and the tooth area identified by the initial texture data with the initial three-dimensional tooth data in a fitting area, thereby improving the accuracy of three-dimensional tooth tracking.

The invention relates to the technical field of coal underground gasification, and discloses a radioactive isotope-based coal underground gasification combustion space shape measurement method, which specifically comprises the following steps of: selecting and injecting radioactive isotopes: selecting the radioactive isotopes with moderate half-life period and injecting the radioactive isotopes into a combustion space; radiation detectors are arranged and data are collected, wherein the detectors are arranged on the basis of the periphery of a combustion space area where radioactive isotopes are injected, and radiation intensity data are collected; data processing: performing background radiation deduction based on the acquired radiation intensity data, and selecting a proper threshold value for a calculation result by adopting a maximum entropy threshold value method; outputting a result, dividing the boundary of the combustion air area based on the calculated model parameter m and the determined threshold value, and outputting a three-dimensional contour surface diagram and contour surface diagrams in all directions of the combustion air area; the measurement method provided by the invention is high in industrial practicability, high in measurement precision and relatively simple and convenient to operate, and provides important technical support for large-scale application of a coal underground gasification technology.

A kind of open pit model dynamic updating method based on real-time positioning of excavator and SDF belongs to the technical field of digital mine. The initial pit triangular mesh model is voxelized to generate a three-dimensional symbolic distance field based on the definition of vertical coordinate symbol. The three-dimensional positioning data of the center of rotation of the excavator is collected in real time through the GNSS-RTK positioning module, and the working state is judged based on the preset time window and displacement threshold. When the excavator switches from displacement state to digging state, a spherical mining influence domain is constructed with the current positioning data as the center of the sphere and the maximum digging radius as the radius, and the voxel symbol distance field value in the domain is set to 0. A control point set is constructed by boundary constraint points and background constraint points, and global symbol distance field smoothing reconstruction is realized by using radial basis function interpolation. The zero value isosurface is extracted by moving cube algorithm to generate the updated pit model. The present application realizes high-frequency model updating synchronized with operation, has low deployment cost and strong robustness, and solves the problems of model updating lag and visualization penetration.

The present application relates to the field of additive manufacturing, and specifically discloses a kind of generation method of manufacturing three-dimensional Chinese character cup model based on energy driving.The present application constructs the smooth time evolution path from multiple outline initial region to single target outline, adopts level set function to describe the outline evolution process, and establishes energy functional including curve length regularization term, adaptive inflation term and shape prior term;Through introducing the dynamic coupling control mechanism based on area difference of region, shape error and boundary length, the adaptive adjustment of inflation coefficient is realized;Then the level set evolution equation is obtained by variational derivation, and after numerical discrete solution, two-dimensional evolution sequence is added to three-dimensional volume field along time axis;Finally, through isosurface extraction and thick shell processing, the 3D printable three-dimensional Chinese character cup model with complete structure and uniform wall thickness is generated.

The invention discloses an aviation emission-oriented three-dimensional contour surface extraction and quantification method and system. The method comprises the following steps: acquiring flight path data, constructing a three-dimensional voxel grid, mapping emission data to corresponding space voxels, and constructing a three-dimensional emission field; dividing the three-dimensional emission field into a plurality of voxel blocks to obtain local state codes of the voxel blocks, and determining an edge set traversed by the contour surface in the voxel blocks according to the local state codes; calculating the intersection point position of the edge and the contour surface to obtain a three-dimensional contour surface grid; the minimum value and the maximum value of the discharge amount field are obtained according to the three-dimensional discharge amount field, discharge amount threshold values are determined, and each discharge amount threshold value corresponds to the contour surface of one discharge amount; and geometric parameter characteristics of the contour surface are obtained through calculation. The objective of the invention is to solve the problems of insufficient geometric accuracy, single structure identification, lack of depth quantization and the like in the prior art.

This application relates to the field of 3D geological modeling technology and provides an automatic generation method for 3D geological models based on contour lines and maximum posterior probability. The method includes: acquiring the contour lines of the geological body to be modeled within a target area; discretizing the contour lines to obtain a set of 3D discrete points; acquiring the observed values ​​corresponding to the set of 3D discrete points, the variance of the observed value error at the spatial location of each discrete point, and the two-dimensional prior normal vector at each discrete point; constructing an objective function based on the acquired observed values, the variance of the observed value error, and the two-dimensional prior normal vector, with the goal of maximizing the posterior probability distribution of an implicit function; iteratively solving the objective function using the expectation-maximization algorithm to obtain the optimal implicit function; using the gradient of the implicit function to characterize the attitude of the geological body to be modeled; extracting the target isosurface of the optimal implicit function, and using the target isosurface as the 3D geological model of the geological body to be modeled. This application can improve the accuracy of 3D geological modeling.

The invention provides a scanning path generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an initial three-dimensional model of a to-be-scanned object, determining a plurality of rolling ball feature points from the initial three-dimensional model, constructing an equivalent curved surface model according to the plurality of rolling ball feature points, and generating a scanning path according to a cutting distance corresponding to a target scanner, cutting the equivalent curved surface model to obtain a cutting curve of the equivalent curved surface model, acquiring pose information of a sampling point on the cutting curve and a visual angle orientation of the target scanner at the sampling point, and generating a scanning path of the target scanner according to the pose information and the visual angle orientation of the sampling point, and enabling the target scanner to scan the to-be-scanned object based on the scanning path to obtain a scanned three-dimensional model. The scanning path is obtained through direct planning, better robustness is achieved, the equivalent curved surface model is generated for the scanning object with abrupt change characteristics such as holes, the change trend of the abrupt change characteristics is reserved, and the scanning path planning success rate is increased.