81 results about "Wire-frame model" patented technology

Systems and methods for volume dimensioning packages are provided. A method of operating a volume dimensioning system may include the receipt of image data of an area at least a first three-dimensional object to be dimensioned from a first point of view as captured using at least one image sensor. The system can determine from the received image data a number of features in three dimensions of the first three-dimensional object. Based at least on part on the determined features of the first three-dimensional object, the system can fit a first three-dimensional packaging wireframe model about the first three-dimensional object. The system can display of an image of the first three-dimensional packaging wireframe model fitted about an image of the first three-dimensional object on a display device.

Systems and methods of determining the volume and dimensions of a three-dimensional object using a dimensioning system are provided. The dimensioning system can include an image sensor, a non-transitory, machine-readable, storage, and a processor. The dimensioning system can select and fit a three-dimensional packaging wireframe model about each three-dimensional object located within a first point of view of the image sensor. Calibration is performed to calibrate between image sensors of the dimensioning system and those of the imaging system. Calibration may occur pre-run time, in a calibration mode or period. Calibration may occur during a routine. Calibration may be automatically triggered on detection of a coupling between the dimensioning and the imaging systems.

Systems and methods of determining the volume and dimensions of a three-dimensional object using a dimensioning system are provided. The dimensioning system can include an image sensor, a non-transitory, machine-readable, storage, and a processor. The dimensioning system can select and fit a three-dimensional packaging wireframe model about each three-dimensional object located within a first point of view of the image sensor. Calibration is performed to calibrate between image sensors of the dimensioning system and those of the imaging system. Calibration may occur pre-run time, in a calibration mode or period. Calibration may occur during a routine. Calibration may be automatically triggered on detection of a coupling between the dimensioning and the imaging systems.

A method and system are provided for effecting interactive, three-dimensional renderings of selected body organs for purposes of medical observation and diagnosis. A series of CT images of the selected body organs are acquired. The series of CT images is stacked to form a three-dimensional volume file. To facilitate interactive three-dimensional rendering, the three-dimensional volume file may be subjected to an optional dataset reduction procedure to reduce pixel resolution and / or to divide the three-dimensional volume file into selected subvolumes. From a selected volume or subvolume, the image of a selected body organ is segmented or isolated. A wireframe model of the segmented organ image is then generated to enable interactive, three-dimensional rendering of the selected organ.

A system and method for minimizing the amount of photographic data to be collected to reconstruct a model of a three-dimensional object such as a building. In one embodiment a systematic process is used to collect survey and detailed photographic data from designated facades and architectural components of the facades to be processed into graphical tiles. The graphical tiles are textured or coated onto a three-dimensional wireframe model of the building. In one embodiment, the amount of photographic data to be collected is based on the footprint of the building, the height of the building and the number of unique facades and architectural details on the facades. In one embodiment, photographic data of the objects surrounding the building is also collected for modeling with the building. The virtual three-dimensional building models can be incorporated into the virtual three-dimensional city model which is a realistically accurate depiction of a city environment including all the details of an actual city.

User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and / or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. In one embodiment, the user interface provides user interface controls that facilitate the determination of pitch of one or more sections of a building roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

A system, and computer implemented method are provided for interactively displaying three-dimensional structures. Three-dimensional volume data (34) is formed from a series of two-dimensional images (33) representing at least one physical property associated with the three-dimensional structure, such as a body organ having a lumen. A wire frame model of a selected region of interest is generated (38b). The wireframe model is then deformed or reshaped to more accurately represent the region of interest (40b). Vertices of the wire frame model may be grouped into regions having a characteristic indicating abnormal structure, such as a lesion. Finally, the deformed wire frame model may be rendered in an interactive three-dimensional display.

A technique for vehicle classification and identification from images successively narrows the classification of a vehicle down to vehicle make, model, and other specific characteristics. This process uses location, size, color, shape, and other image characteristics that help differentiate vehicles from other kinds of objects in an image. A broad categorization of the target vehicle is performed by classifying the vehicle according to a predetermined set of general vehicle types. A short list is then created of potential matching vehicle makes and models within the broad category that have the best chance of matching the target vehicle. Specific visible points on the target vehicle are identified and then a wire-frame matching with pre-recorded wire-frame models of the short listed vehicles is performed to produce a set of selected vehicle makes and models.

Geometric correction of rough wireframe models derived from photographs may include rectification of either a 2D or 3D original wireframe model of a roof structure, derivation of metadata from the original wireframe, in-plane normalization of the wireframe, extrusion into a “rough” 3D wireframe based on the normalized wireframe, and correction of the “rough” 3D wireframe. The correction and normalization may be an iterative process based on initial pitch values, metadata derived from the original or corrected wireframe models and defined constraints regarding relationships between roof portions or segments. The iterative process may repeat adjusting the wireframe model until the adjusting converges to a stable state according to the various defined constraints.

User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and / or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. The user interface is further configured to concurrently display roof features onto multiple images of a roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

A system, and computer implemented method are provided for interactively displaying three-dimensional structures. Three-dimensional volume data (34) is formed from a series of two-dimensional images (33) representing at least one physical property associated with the three-dimensional structure, such as a body organ having a lumen. A wire frame model of a selected region of interest is generated (38b). The wireframe model is then deformed or reshaped to more accurately represent the region of interest (40b). Vertices of the wire frame model may be grouped into regions having a characteristic indicating abnormal structure, such as a lesion. Finally, the deformed wire frame model may be rendered in an interactive three-dimensional display.

Various embodiments of a system and methods for generating 3D surface patches from unconstrained 3D curves are described. The system may receive a set of unconstrained 3D wireframe curves that represent a 3D wireframe model. The 3D wireframe curves may be unorganized, may have inconsistent orientations, and may have an arbitrary number and type of curve intersections. The system may automatically generate the 3D surface patches, dependent on the 3D wireframe curves. The 3D surface patches may form a 3D surface that connects the 3D wireframe curves. The 3D surface patches may be generated from faces of the 3D wireframe model. The faces may be elementary cycles extracted from the 3D wireframe model. The system may receive user input which indicates changes to the 3D surface patches. A user may change, create, and / or delete 3D surface patches to achieve a desired 3D surface that represents the 3D wireframe model.

A three dimensional shape correlation computer software program which uses laser radar data for target identification. The correlation program obtains a scan of laser radar data of a target from a Ladar sensor. The data includes a plurality of X,Y,Z coordinate detection points for the target. The software simulates the sensor scan using a 3D wire-frame model of the target. An X,Y,Z coordinate location is computed for every point in the computer model of the target. The software compares the X,Y,Z coordinate detection points for the target with the X,Y,Z coordinate points for the computer model to determine if the points match. When there is a match a target identification is declared.

A method and system are provided for effecting interactive, three-dimensional renderings of selected body organs for purposes of medical observation and diagnosis. A series of CT images of the selected body organs are acquired. The series of CT images is stacked to form a three-dimensional volume file. To facilitate interactive three-dimensional rendering, the three-dimensional volume file may be subjected to an optional dataset reduction procedure to reduce pixel resolution and / or to divide the three-dimensional volume file into selected subvolumes. From a selected volume or subvolume, the image of a selected body organ is segmented or isolated. A wireframe model of the segmented organ image is then generated to enable interactive, three-dimensional rendering of the selected organ.

A 3-D wireframe model expressed in terms of nodes and vertices receives a 3-D video or like signal representative of a scene expressed in terms of a reference model, I frames and P frames. A DPCM coder takes advantage of the temporal correlation of the displacement of each vertex along every axis in the 3-D space. The 3-D signal is a set of non-zero displacements of all vertices and all nodes (sl[n, v]) at time tl. The decoded set (animation frame) of the previous instance is used as the predicted value (si-l[n, v]). The prediction error el[n, v], i.e. the difference between the current displacement set and the predicted one, is computed and quantised (el[n, v]). Finally, the quantised samples are entropy coded (ci[n, v]) using an adaptive arithmetic coding algorithm to handle the unknown data statistics. The predictive scheme described above prevents quantization error accumulation. A DPCM decoder first decodes arithmetically the received samples (‘e’ [n, v]) and computers the decoded samples (si′ [n, v]).

The present invention provides a method of combining various types of data and software in order to arrive at a composite graphical representation of a construction site, including surface and subsurface features. A 2-D or 3-D graph of subsurface contoured surfaces is created. A 3-D wire-frame model of surface and subsurface features is created. Aerial photographs of the site can be incorporated and the aerial photographs contoured surfaces and wire-frame model are to produce a complete Visual Reduction Modeling Language (VRML) model of both surface and subsurface features. The VRML model allows the user to identify and visualize a relationship between sub-surface features and above ground features.

A system, and computer implemented method are provided for interactively displaying three-dimensional structures. Three-dimensional volume data (34) is formed from a series of two-dimensional images (33) representing at least one physical property associated with the three-dimensional structure, such as a body organ having a lumen. A wire frame model of a selected region of interest is generated (38b). The wireframe model is then deformed or reshaped to more accurately represent the region of interest (40b). Vertices of the wire frame model may be grouped into regions having a characteristic indicating abnormal structure, such as a lesion. Finally, the deformed wire frame model may be rendered in an interactive three-dimensional display.

Prior methods of measuring diamond proportions in order to construct a complete model, such as a three dimensional virtual wire-frame model, of a diamond have been found to be inadequate. In particular, there has been no commercially available, automated and objective method for measuring the dimensions of a diamond with similar or greater accuracy as compared with the accuracy that can be achieved with manual gauges or micrometers. The present invention provides a method of measuring a physical characteristic of a facet of a diamond, such as the location of one or more points on an edge of a facet. The method comprises illuminating the diamond to visually distinguish a facet from adjacent facets when viewed from a predetermined location, and then capturing an image of the diamond as viewed from this predetermined location. The image is then analyzed to determine the location of at least one point located on an edge of a facet by identifying a discontinuity in the properties of light transmitted from the diamond to the viewing location.

A computer system and a computer-implemented method are provided for interactively displaying a three-dimensional rendering of a structure having a lumen and for indicating regions of abnormal wall structure. A three-dimensional volume of data is formed from a series of two-dimensional images representing at least one physical property associated with the three-dimensional structure. An isosurface of a selected region of interest is created by a computer from the volume of data based on a selected value or values of a physical property representing the selected region of interest. A wireframe model of the isosurface is generated by the computer wherein the wireframe model includes a plurality of vertices. The vertices are then grouped into populations of contiguous vertices having a characteristic indicating abnormal wall structure by the computer. The wireframe model is then rendered by the computer in an interactive three-dimensional display to indicate the populations of abnormal wall structure.

A route damage prediction system includes cameras, a conversion unit, and an analysis unit. The cameras obtain image data that include a route traveled upon by vehicles. The image data includes still images and / or video of the route obtained at different times. The conversion unit includes one or more computer processors configured to at least one of create wireframe model data or modify the image data into the wireframe model data representative of the route. The analysis unit includes one or more computer processors configured to examine changes in the wireframe model data to identify a historical trend of changes in the image data. The analysis unit is configured to compare the historical trend of the changes in the image data with designated patterns of changes in the wireframe model data to determine when to request at least one of repair, inspection, or maintenance of the route.

The invention relates to the technical field of hull design and particularly discloses a hull surface reconstruction method based on non-uniform rational B-spline surface interpolations. The method comprises the steps of adopting characteristic lines to divide a hull wire-frame model into surface piece grids; conducting homogenization treatment on the surface piece grids to obtain position coordinates of offset points, adding tangent vector characteristics to the offset points and generating non-uniform rational B-spline grids; interpolating B-spline surfaces with multiple nodes into the non-uniform rational B-spline grids to obtain multiple non-uniform rational B-spline surface pieces, and splicing the surface pieces along the characteristic lines among the surface pieces so as to obtain a gapless non-uniform rational B-spline surface and achieve continuous G1 or G0 (knuckle line) on the characteristic lines. Fewer surface pieces (several or dozens of pieces) can be utilized to reconstruct a complicated hull surface and generate the gapless NURBS surface so as to achieve the smooth hull surface effect, and hull surface modification can be facilitated.

Geometric correction of rough wireframe models derived from photographs may include rectification of either a 2D or 3D original wireframe model of a roof structure, derivation of metadata from the original wireframe, in-plane normalization of the wireframe, extrusion into a “rough” 3D wireframe based on the normalized wireframe, and correction of the “rough” 3D wireframe. The correction and normalization may be an iterative process based on initial pitch values, metadata derived from the original or corrected wireframe models and defined constraints regarding relationships between roof portions or segments. The iterative process may repeat adjusting the wireframe model until the adjusting converges to a stable state according to the various defined constraints.

The present invention provides a method of combining various types of data and software in order to arrive at a composite graphical representation of a construction site, including surface and subsurface features. A 2-D or 3-D graph of subsurface contoured surfaces is created. A 3-D wire-frame model of surface and subsurface features is created. Aerial photographs of the site can be incorporated and the aerial photographs contoured surfaces and wire-frame model are to produce a complete Visual Reduction Modeling Language (VRML) model of both surface and subsurface features. The VRML model allows the user to identify and visualize a relationship between sub-surface features and above ground features.

The invention discloses a building intelligent three-dimensional mapping method based on multi-source remote sensing data, and the method comprises the steps: obtaining a building roof vector contourof a target measurement region and a structured building group three-dimensional wireframe model through employing aerial remote sensing image data and laser point cloud data of the target measurementregion. According to the invention, aerial remote sensing image data is utilized to generate image three-dimensional point cloud, and high-precision registration fusion of the image point cloud and laser point cloud is completed; high-precision DSM, DEM, traditional DOM and OESM models are generated by using the fused three-dimensional point cloud; building boundaries are extracted through three-dimensional point cloud, contour lines are extracted on a DOM, the boundaries and the DOM are fused to extract and screen building two-dimensional vector contours, and high-precision extraction of building roof contours is achieved; and a building structured wireframe three-dimensional model is quickly generated based on the building roof two-dimensional vector contour and the high-precision OESMmodel. According to the method, manual intervention is not needed, and full-automatic building three-dimensional mapping is achieved.

The invention relates to a geological map compilation method based on a geological three-dimensional modeling process. The invention aims to provide the geological map compilation method based on the geological three-dimensional modeling process, so as to solve the problems that the geological three-dimensional modeling process and a geological two-dimensional drawing output process are separated, the geological map drawing workload is heavy, the drawing proofreading work cycle is long, the drawing marking and format composing are tedious, the data utilization method is single, the man-made error rate is high, the map interpretation content is inconsistent, the drawing revision and updating are difficult and the like, as well as improve drawing output quality and efficiency of a geological map. The invention adopts the technical scheme that the geological map compilation method is characterized by comprising the steps of: 1, classifying geological objects and defining attributes; 2, setting and storing geological data and geological maps; 3, drawing geological interpretation process maps; 4, compiling the process maps and outputting wireframe models; 5, and outputting the geological maps. The geological map compilation method based on the geological three-dimensional modeling process is applicable to the professional fields of engineering geology in the industries of hydropower, water conservancy, geotechnical, mine, traffic and the like.

The present invention relates to a wire-frame-based curved surface body three-dimensional boundary representation (hereinafter referred to as B-rep) model reconstructing method and a device thereof. A wire frame model of a project mechanical part in a three-dimension modeling system can be transferred into a three-dimensional boundary representation (B-rep) model. The wire frame model which is obtained by reconstructing various kinds of views or CAD software drawings and the wire frame model which is reconstructed by a sketch-based intelligent CAD system can also be transferred into the B-rep model by the method. The method is particularly effective for the wire frame model with high precision and complete geometrical and topological information. The method can be widely applied to the three-dimension reconstructing in a project drawing and the CAD software drawing and can also be applied to the fields of industrial automatic production planning and decision, three-dimensional identification and detection, product data management and data base searches,computer auxiliary design and manufacture, etc.

The invention discloses a three-dimensional target registration positioning method based on a wire-frame model. The three-dimensional target registration positioning method based on the wire-frame model comprises the following steps: carrying out three-dimensional modeling on a three-dimensional target object, projecting to an image plane, carrying out accurate positioning on the three-dimensional target through a Hausdorff distance shape matching algorithm with high anti-noise capability, and finding a three-dimensional model which is most matched with a current three-dimensional target attitude; then, adopting a search algorithm which combines depth-first with breadth-first to track the three-dimensional target, and carrying out real-time pose estimation on a camera; and finally, utilizing obtained camera attitude information to overlap a virtual object in a scene.