26 results about "Wire-frame model" patented technology

A method for non-contact modal analysis uses an optical sensing device such as a video camera. Unlike traditional modal analysis, requiring accelerometers or force sensors to measure the modal characteristics of a structure and animate the motion of a wireframe model of the test structure, the inventive system mathematically modifies the original video recordings by filtering, amplifying, and modifying the playback rate or applying modal shape mask or vectors to produce modified video to show motion at each modal frequency. This provides animated mode shapes with higher spatial and temporal resolution that possible with the traditional approach of using wireframe model animations.

Certain aspects of the present disclosure provide techniques and apparatus for improved three-dimensional reconstruction using machine learning. In an example method, an image depicting an object is accessed, and an edge map comprising a plurality of edges is generated based on the image. A thickness of each of the plurality of edges in the edge map is modified based on a current stage of the three-dimensional reconstruction. A rendered image depicting a set of Gaussian distributions in a three-dimensional virtual space is generated using Gaussian splatting. One or more parameters of one or more of the set of Gaussian distributions are modified based on comparing the rendered image and the edge map, and after modifying the one or more parameters, a three-dimensional wireframe model of the object is generated based on the set of Gaussian distributions.

Certain aspects of the present disclosure provide techniques and apparatus for improved three-dimensional reconstruction using machine learning. In an example method, an image depicting an object is accessed, and an edge map comprising a plurality of edges is generated based on the image. A thickness of each of the plurality of edges in the edge map is modified based on a current stage of the three-dimensional reconstruction. A rendered image depicting a set of Gaussian distributions in a three-dimensional virtual space is generated using Gaussian splatting. One or more parameters of one or more of the set of Gaussian distributions are modified based on comparing the rendered image and the edge map, and after modifying the one or more parameters, a three-dimensional wireframe model of the object is generated based on the set of Gaussian distributions.

The invention provides a large-scale space electromagnetic field modeling simulation method, and belongs to the field of electromagnetic field modeling simulation, and the method comprises the steps: scanning a target large-scale space scene through a laser radar, and obtaining a transmission tower point cloud model in the large-scale space scene; the method comprises the following steps of: obtaining a transmission tower wire frame model through a DBSCAN algorithm, extracting edges and vertexes through a DBSCAN algorithm to obtain a transmission tower wire frame model, obtaining a transmission tower entity model through edge shortening, direct extrusion and rotation translation matching extrusion, and carrying out adaptive grid division by creating a distance field and a threshold field to obtain a transmission tower grid model; and finally, material attributes and design boundary conditions are defined based on actual working conditions of the transmission tower, electromagnetic field distribution of the transmission tower is solved based on Maxwell equations, and electromagnetic field modeling simulation is completed. According to the method, the problems that simulation modeling cannot be realized by a three-dimensional scanning technology due to complex and changeable large-scale space scenes in the existing electromagnetic field simulation modeling, and the simulation modeling accuracy is low due to dependence on artificial experience are solved.

The present invention provides a method for quickly generating an overall finite element model based on geometric line and surface information. The method of the present invention is based on the open API interface of CAD and CAE software, can quickly complete the layout of the geometric wireframe model in CAD, generate the geometric wireframe model through the line and surface mesh algorithm, and define the corresponding attribute, material and other information data on the geometric line and surface model, automatically divide the grid through the finite element mesh algorithm, extract the classification, attribute and material data of the geometric line and surface, establish an association with the divided grid, and generate a finite element mesh model. The method of quickly generating an overall finite element model based on geometric line and surface information of the present invention improves the efficiency of converting geometric line and surface information into an overall finite element model, reduces omissions and errors, does not require additional time, energy and manpower, and can meet the needs of efficient and rapid design and analysis of modern engineering.

The invention provides a three-dimensional wireframe model deviation correction method and device, electronic equipment and a storage medium. The method comprises the steps that control points of all line segments in a three-dimensional wireframe model to be subjected to deviation correction are extracted in a parameterized mode; based on the distance between the original starting points and the original ending points in the control points, combining the original starting points and the original ending points to obtain combined geometric points; searching in the combined geometric points to obtain an adjacent point of the original starting and ending point, and replacing the original starting and ending point with the adjacent point to obtain a corrected starting and ending point; and reconstructing the three-dimensional wireframe model based on the correction starting and ending point and a middle point in the control points to obtain a corrected three-dimensional wireframe model. According to the three-dimensional wireframe model correction method and device, the electronic equipment and the storage medium provided by the invention, batch automatic correction of the non-concurrent connection points in the initial three-dimensional wireframe model is realized by establishing a spatial topology optimization mechanism, and the problem of low efficiency caused by traditional manual point-by-point correction is fundamentally solved.

A computer system facilitates analysis and scoring of user motion in drawing and presenting a firearm for discharge. The system receives video image of a user drawing, presenting, and discharging a firearm, generates a user skeletal wireframe model in real time and displays the user skeletal wireframe model overlaid on video image of the user in real time. The system identifies the firearm discharge by detecting sound associated with the firearm discharge or firearm position. The system analyzes the movement of the user in drawing, presenting and discharging the firearm and generates a movement score corresponding to the accuracy of user motion in drawing, presenting and discharging the firearm. The system analyzes the user elapsed time drawing, presenting, and discharging the firearm and generates a time score for the user. The system generates a shot score based on the movement score and the time score.

According to various embodiments, a method for generating a real pose ball model of an object is described, having: receiving a wireframe model of the object having a skeleton structure; generating a first ball model from the wireframe model; generating a second ball model from the first ball model by determining for each ball of the first ball model a set of closest points of the wireframe model; calculating for each joint of one or more joints of the skeleton structure a weight of the ball by averaging the weights of the points closest to the joint, and assigning the calculated weight to the ball.

The invention relates to a system for surface and underground feature integrated visualization based on multi-software cooperation, and the system comprises a data collection module which is used for obtaining underground feature data and surface feature data; the data processing module is used for performing enhancement processing on the underground feature data and the earth surface feature data and respectively creating a resistivity inversion curved surface model and an earth surface feature line frame model; and the modeling and visualization module is used for carrying out spatial synchronous fusion on the enhanced data and the earth surface feature line frame model of the earth surface features, and carrying out visual display through an environment visualization system. According to the method, the data transmission process is optimized, and the problem of multi-software compatibility is solved, so that comprehensive, accurate, visual and integrated display of building or construction site information is ensured, and efficient and visual support can be provided for analysis and decision-making of complex scenes.

Methods for fenestration delineation of a building wireframe model are presented, the methods including: providing a point cloud of a building; providing the building wireframe model generated from the point cloud, generating a number of façade slices from the point cloud and the building wireframe model; selecting one of the façade slices; displaying the selected façade slice; selecting a number of points on the selected façade slice, where the points correspond with corners of a fenestration; connecting the corners to present an outline of the fenestration; displaying the outline on the façade slice; and adjusting the corners by a user to match the fenestration, where the adjusting the corners to match the fenestration occurs any time after the selecting the points.

The invention discloses a dock crane group collaborative anti-collision early warning system and method based on multi-source perception and spatial modeling, and belongs to the technical field of anti-collision early warning. The system is composed of a sensing layer, a control layer, a network layer and a platform layer. The sensing layer is integrated with a Beidou RTK differential positioning module and a multi-source sensor. The control layer operates an AABB collision detection algorithm in real time through a vehicle-mounted host, decomposes the crane into a hexahedron wireframe model, dynamically calculates boundary box intersection and outputs a three-level control signal; a network layer adopts a dual-redundancy architecture: a 433MHz ad hoc network realizes millisecond-level data synchronization between cranes, and a 5.8 GHz iMAX private network supports VRRP hot standby remote transmission; the platform layer constructs a 1: 1 three-dimensional dock simulation model, and visually monitors the equipment pose and the alarm state. According to the invention, the limitation of traditional single-point protection is broken through, the realization of the anti-collision protection function of other crane groups is not influenced by the system fault of any crane in the network, and the collision risk in a dense operation scene is obviously reduced.

The invention provides a method for quickly generating an overall finite element model based on geometric line and surface information. According to the method, on the basis of an open API interface of CAD and CAE software, arrangement of a geometric wireframe model can be rapidly completed in CAD, the geometric wireframe model is generated through a line-plane mesh algorithm, definition of information data such as corresponding attributes and materials is carried out on the geometric line-plane model, meshes are automatically divided through a finite element mesh algorithm, and the geometric wireframe model can be obtained. And extracting classification, attribute and material data of geometric lines and surfaces, establishing association with the divided grids, and generating a finite element grid model. According to the method for rapidly generating the overall finite element model based on the geometric line and surface information, the efficiency of converting the geometric line and surface information into the overall finite element model is improved, omission and errors are reduced, extra time, energy and manpower do not need to be spent, and the requirement for efficient and rapid design analysis of modern engineering can be met.

Methods for edge refinement of a building wireframe model are presented, the method including: providing a point cloud of a building; providing the building wireframe model generated from the point cloud, where the building wireframe model includes a number of façades, and where each façade includes a number of edges; selecting an edge for refining, the selected edge having two endpoints; finding a number of source points corresponding with the selected edge; adjusting the source points; connecting the two endpoints and the source points to form a polyline; and smoothing the polyline, where the smoothed polyline is a representation of a refined edge. In some embodiments, adjusting the source points includes: selecting a source point; and moving the selected source point manually by a user.

The invention relates to the technical field of structural engineering digital modeling, and discloses a method for generating a spatial structure pipe truss calculation model based on point clouds, which comprises the following steps: step 1, obtaining candidate circular pipe point clouds through point cloud processing; step 2, obtaining a closed surface; 3, obtaining any separation line; and 4, generating a space framework wireframe model and importing the space framework wireframe model into the SAP. According to the method, full-automatic conversion of the circular pipe truss point cloud, the closed curved surface, the separation line, the center line and the finite element wireframe model at any space angle is achieved, and SAP2000 is directly imported for structural calculation. The spatial structure pipe truss reading point cloud is converted into a calculation model capable of being used for structural analysis, the method is an important premise for achieving damage assessment, reconstruction and extension design and digital operation and maintenance, and the method has important value and significance.

The embodiment of the invention provides a three-dimensional model animation generation method and device, equipment, a medium and a product, and is applied to the technical field of animation generation and processing. The method comprises the steps of obtaining original models, model identifiers and attribute information thereof in a target virtual scene; based on the model identifier and the attribute information of each original model, establishing an attribute index table; respectively creating animation bodies corresponding to the original models; the animation body comprises a clone model, a basic wireframe model and a special effect model; performing material enhancement processing on each model in the animation body to obtain a modified material corresponding to each model, the modified material supporting real-time regulation and control of material attributes in the animation process; arranging a time axis of animation execution based on the animation body and the transformed material; and driving the animation body to execute the admission animation based on the time axis. According to the method, the technical effect of improving the animation generation efficiency is achieved.

The invention provides a tool working track generation method and device and electronic equipment, and relates to the technical field of computers.The method comprises the steps that a reference workpiece model and a workpiece information file corresponding to a to-be-processed workpiece are obtained, the reference workpiece model is a wireframe model, and the workpiece information file comprises tool working point position information; the reference workpiece model is subjected to model conversion, a target workpiece model is obtained, and the target workpiece model is a triangular plate model; performing model surface screening on the target workpiece model according to the tool working point position information to obtain a plurality of target model surfaces; according to the tool working point position information and the multiple target model surfaces, a tool working track corresponding to the to-be-processed workpiece and the tool working point position information is generated, and the tool working track is used for indicating the pose information of the tool working point in the process that the tool processes the to-be-processed workpiece. The problem that actual and accurate work cannot be carried out on the track generated by an existing tool working track generation method is solved.

This invention relates to a method for 3D building modeling combining LiDAR point clouds and iOS 3D scanning, belonging to the field of 3D reconstruction and point cloud processing technology. The invention addresses the technical contradictions in 3D building reconstruction, such as impure structures and uneven model surfaces caused by environmental noise in LiDAR point clouds, and global inaccuracies and structural deformations caused by positioning drift in mobile device scanning. The method includes: acquiring raw point clouds using LiDAR and performing semantic segmentation using SoftGroup to extract clean building structure point clouds; simultaneously acquiring and parsing RoomPlan JSON files using an iOS device to reconstruct initial wireframe models of walls and floors; aligning the two types of data spaces through interactive coarse registration and ICP fine registration based on bounding box clipping; extracting the main structural planes of the building from the registered point clouds using the RANSAC algorithm; and finally, achieving geometric refinement of the wireframe model by aligning the walls with the extracted planes, calculating intersection lines, and optimizing shared vertices.

The invention discloses an automatic design method of an aircraft structure test lever loading system. The method comprises the following steps: acquiring basic data required by lever beam unit modeling; constructing a finite element analysis model; generating a lever beam unit wireframe model, and synchronously completing grid division and assembly constraint application; verifying whether the strength and rigidity of the lever beam unit wireframe model meet preset conditions or not, and if yes, outputting design parameters; carrying out stress constraint topological optimization on the initial design domain of the lever component, and solving to obtain an optimal hole configuration; constructing a structured hole feature database; the hole size matched with the design parameters is output, the hole size is adjusted, and stress is checked; calibrating the gravity center of the lever based on an automatic counterweight algorithm; and outputting the lever three-dimensional model. According to the method, the automatic design of the aircraft lever loading system is realized based on parameterized finite element modeling and multi-objective collaborative optimization, and the design efficiency and reliability are remarkably improved while the structural strength and rigidity are ensured.

The invention relates to the technical field of complete vehicle attitude determination, in particular to a complete vehicle attitude determination system based on CATIA (computer-graphics aided three-dimensional interactive application), which is characterized in that a complete vehicle wheel center coordinate and wheelbase line construction module establishes a wireframe model containing wheel center coordinates under a servicing condition; sequentially analyzing the displacement of the wheel center group coordinates corresponding to the Z-direction coordinates under different working conditions, then obtaining the Z-direction coordinates in the left front wheel center coordinates under different working conditions through the tire static radius and the displacement, obtaining the coordinates of the left front wheel center at the moment, and then obtaining the coordinates of the left rear wheel center in the wire frame model through the wheelbase; generating wheelbase lines under different working conditions; the tire grounding coordinate and ground line fitting module is used for calculating vertical distances from a wheel center to the ground under different working conditions and analyzing tire grounding coordinates to fit ground lines under different working conditions; the whole vehicle centroid and attitude angle calculation module calculates vehicle centroid coordinates under different working conditions, and the height of the centroid above the ground is obtained by subtracting the ground line from the Z-direction coordinates of the vehicle centroid.

The application provides an end-to-end scatterer profile modeling method based on online difficult example mining, comprising: obtaining point cloud group data to be modeled and a pre-trained profile modeling network; wherein the profile modeling network comprises a backbone network, a point cloud group detection network, a vertex detection network and an edge detection network, and the point cloud group detection network is a detection network integrated with an online difficult example mining module; inputting the point cloud group data to be modeled into the backbone network to obtain point cloud feature data; inputting the point cloud feature data into the point cloud group detection network to obtain a point cloud group containing vertices; performing vertex detection and edge detection on the point cloud group containing the vertices based on the vertex detection network and the edge detection network to generate a wireframe model; and generating a watertight plane based on the wireframe model to obtain a scatterer profile model. Not only the recognition accuracy of positive samples is improved, but also the robustness of negative samples is enhanced, and the performance problem caused by the imbalance between positive and negative samples in traditional point cloud group detection is effectively solved.

An automatic centroid calculation method for vehicle body cross-sections based on CATIA secondary development is disclosed, belonging to the field of engineering structural optimization design. This method uniformly selects points along the chosen cross-section lines according to a set precision; it then recursively weights and averages the initial point sequence, outputting the centroid as the result of the average of all points. Specifically: Step 1, constructing a user feature model for centroid extraction; Step 2, loading the target wireframe model and selecting the target cross-section; Step 3, instantiating and calling the user feature model; Step 4, automatically calculating and outputting the target centroid. This invention improves the efficiency and accuracy of generating centroids for vehicle body wireframe models, enabling automatic generation of centroids for different cross-sections in different models. It significantly improves the efficiency and accuracy of centroid updates when model cross-sections are changed. Its generation logic allows for synchronous updates of models built using it as a reference, aligning with the needs of parametric wireframe model modeling and meeting the efficiency requirements of modern vehicle model updates, thus possessing broad application prospects.

The application discloses a kind of grasshopper-based space tensile structure parameterization modeling method, steps are as follows: picking up the building skin three-dimensional model of the tensile structure to be established;Determine the structure type and geometric control parameter, call input operator input parameter;Based on the input parameter, call the packaged tensile beam wireframe model generation operator or tensile truss wireframe model generation operator, obtain the three-dimensional wireframe model of tensile structure.The application can quickly establish the three-dimensional model of tensile structure according to building surface, and the structure type and geometric parameter can be freely controlled, the design method is simple and efficient, which provides great convenience for structure type finding, scheme comparison, calculation analysis and optimization design of space tensile structure.

The present invention provides a method for determining the geometric features of bridge components based on a hybrid model. First, a bridge component recognition model is constructed and trained, and then this model is used to recognize and segment the point cloud data of bridge components. Next, multi-scale features are extracted to segment the geometric boundaries and skeletons, and they are fused with the wireframe model to construct a dual-mode fusion representation model containing point clouds and wireframes. Finally, based on the above model and the point cloud data, the distance from each point to the nearest edge is calculated to generate a distance map, and the distance map is used for precise measurement of the dimensions of bridge components to ensure the accuracy of butt joint of each segment. The present invention uses region growing segmentation and a "point cloud + wireframe" hybrid model to simplify data processing and improve computational efficiency. By using Laplacian eigenmap and Alpha shape algorithm, high-precision dimension measurement is achieved, which is applicable to the detection of bridge components under complex geometric conditions.

Methods for corner refinement of a building wireframe model are presented, the method including: providing a point cloud of a building; providing the building wireframe model generated from the point cloud, where the building wireframe model includes a number of façades, each façade forming a planar polygon, and where each planar polygon includes a number of corners; displaying the building wireframe model, where each of the corners is user selectable; selecting one of corners; overlaying the selected corner on the point cloud; and refining a placement of the selected corner in accordance with the point cloud.

The invention discloses a splicing method and system of a large-scale structural member wireframe model based on a three-dimensional point cloud, and the method comprises the steps: dividing a large-scale structural member into a plurality of adjacent scanning regions, and scanning each adjacent scanning region through scanning equipment to obtain a point cloud; based on the shape and structure characteristics of the structural member, the obtained point cloud is analyzed through a point cloud processing technology, and a plurality of groups of wireframe models of adjacent scanning areas are obtained; analyzing and judging the obtained multiple groups of wireframe models to obtain wireframe models with wireframe model splicing conditions; and for the wireframe models with wireframe model splicing conditions, correctly combining multiple groups of wireframe models into a complete wireframe model based on the shape and structure characteristics of the large structural member. According to the invention, local scanning and feature analysis are carried out on the large-scale structural member, and the complete wireframe model is finally combined, so that subsequent three-dimensional rapid model reconstruction is facilitated.

Modern retrofit construction practices use 3D point cloud data of the building envelope to obtain the as-built dimensions. However, manual segmentation by a trained professional is required to identify and measure window openings, door openings, and other architectural features, making the use of 3D point clouds labor-intensive. Automatic point Cloud Building Envelope Segmentation (Auto-CuBES) algorithms can significantly reduce the time spent during point cloud segmentation. The Auto-CuBES algorithm inputs a 3D point cloud generated by commonly available surveying equipment and outputs a dimensioned wire-frame model of the building envelope. By leveraging unsupervised machine learning methods in the Auto-CuBES methods facades, windows, and doors can be identified while keeping the number of calibration parameters low. Additionally, some embodiments of Auto-CuBES can generate a heat map of each facade indicating nonplanar characteristics that are valuable for optimization of connections used in overclad envelope retrofits.