86 results about "Projection View" patented technology

The invention discloses a large language model robustness visual diagnosis method based on multi-dimensional features and adversarial attacks. The method aims to break through a mode that traditional evaluation only depends on a single aggregation index, and a multi-dimensional text feature exploration system covering vocabularies, syntax, semantics and a structural layer is constructed, and a large-scale antagonism disturbance mechanism and a task self-adaptive quantification strategy are combined. And generating structured feature-adversarial instruction-robustness diagnosis data comprising the cue word to be evaluated and the corpus. On the basis, an interactive visual analysis system is constructed, and through bidirectional linkage of a feature statistical view and a semantic projection view, a user is supported to realize progressive exploration from macroscopic feature screening to microscopic semantic attribution under the double view angles of cue words and corpora, so that a root cause causing the fragility of the model is deeply diagnosed. According to the method, the key feature combination influencing the stability of the model can be identified, so that a basis is provided for directional optimization of the model, and the diagnosis depth of robustness evaluation is improved.

A system configured for registration of arthroscopic video images to preoperative models includes one or more computing devices configured to identify an anatomical structure represented in diagnostic video data, register one of a plurality of anatomical structures in a three-dimensional (3D) anatomical model to the anatomical structure represented in the diagnostic video data, the 3D anatomical model being generated from preoperative image data, track the anatomical structure intraoperatively based on the registered one of the plurality of anatomical structures, generate a simulated projected view of the registered one of the plurality of anatomical structures from the 3D anatomical model based on a determined orientation of the arthroscope during capture of intraoperative video data, and output the simulated projected view scaled and oriented based on one or more landmark features of the anatomical structure extracted from the intraoperative video data.

Provided in the embodiments of the present disclosure are an object classification method and apparatus, and a computer program product, a device and a storage medium. The method comprises: acquiring a three-dimensional model of an object to be classified, wherein the three-dimensional model carries texture information; projecting the three-dimensional model according to a plurality of preset projection viewing angles, so as to obtain a plurality of frames of RGB images; selecting a target RGB image from among the plurality of frames of RGB images, wherein the information amount of valid information in the target RGB image meets a preset condition, and the valid information is information which can be used for identifying the material of said object; and performing feature extraction on the target RGB image, and determining, on the basis of an extracted feature, a material category to which said object belongs. In this way, the material category of the object to be classified can be distinguished, and when the material category is distinguished, a relatively accurate classification result can also be obtained in the case of a relatively small amount of calculation.

The invention discloses a virtual reality roaming method and system based on a multi-view panoramic image model, and belongs to the technical field of computer vision and virtual reality. Through a multi-viewpoint panoramic image set, real-time generation of a high-quality panoramic image from a known viewpoint to any unknown viewpoint is realized based on a spherical projection viewpoint transformation algorithm. Modeling generation methods for a road scene and a region scene are respectively designed according to scene feature differences, so that scene representation with complete coverage is constructed. According to the system, adjacent viewpoints are quickly positioned through a spatial index mechanism, geometric mapping and multi-viewpoint weighted fusion are performed by using the spherical projection algorithm, and a smooth and continuous free viewpoint roaming picture is rendered in a virtual reality environment. According to the method, on the premise of ensuring high fidelity of the scene, real-time rendering is realized on common consumption-level hardware, and the coherence and the degree of freedom of immersive interactive experience are improved.

The invention discloses a multi-robot process scheduling and cooperative control method based on artificial intelligence, and the method comprises the steps: carrying out the modeling of a process structure and robot resources, and generating a unified task information queue; environment perception and multi-source point cloud acquisition are carried out to generate multi-source point cloud data; carrying out Poisson curved surface reconstruction to obtain a three-dimensional reconstruction result and an occupied grid map; selecting a projection view angle and a grid resolution, and generating a multi-channel two-dimensional environment grid map; constructing an improved HarDNet network, and generating an environment semantic and risk map; performing task allocation and path planning to form a cooperative control plan; and performing cooperative execution, controlling the physical robot to execute tasks, and controlling the software robot to process businesses. Through combination of Poisson curved surface reconstruction and improved HarDNet network, unified scheduling and cooperative control of multi-robot tasks are realized.

The invention relates to a method for generating an image, a method and a device for training an image generation model, computer equipment and a storage medium. The method comprises the following steps: acquiring a first projection view and a second projection view of an object in an orthogonal relationship in a projection direction; performing feature expansion processing on the first projection view and the second projection view to obtain a first three-dimensional feature map corresponding to the first projection view and a second three-dimensional feature map corresponding to the second projection view; performing fusion processing on the first three-dimensional feature map and the second three-dimensional feature map to obtain a fused feature map; and performing decoding reconstruction processing on the fused feature map to obtain a reconstructed image corresponding to the object. By adopting the method, the purpose of completing three-dimensional image reconstruction only by using two orthogonal projection views can be achieved.

Surgical methods and devices that facilitate registration of arthroscopic video to preoperative models are disclosed. With this technology, a machine learning model is applied to diagnostic video data captured via an arthroscope to identify an anatomical structure. An anatomical structure in a three-dimensional (3D) anatomical model is registered to the anatomical structure represented in the diagnostic video data. The 3D anatomical model is generated from preoperative image data. The anatomical structure is then tracked intraoperatively based on the registration and without requiring fixation of fiducial markers to the patient anatomy. A simulated projected view of the registered anatomical structure is generated from the 3D anatomical model based on a determined orientation of the arthroscope during capture of intraoperative video data. The simulated projected view is scaled and oriented based on one or more landmark features of the anatomical structure extracted from the intraoperative video data.

The invention relates to the technical field of three-dimensional model retrieval, and provides a three-dimensional model retrieval method and system based on Laplacian features and attention, and the method comprises the following steps: expressing a to-be-retrieved three-dimensional model by using a Laplacian-Beltrami feature function; rendering from a plurality of visual angles to generate a plurality of groups of two-dimensional projection views; performing feature extraction on the two-dimensional projection view, and adaptively fusing feature information of the current view and the adjacent view based on an attention mechanism to obtain extracted multi-view features; and grouping the multi-view features, fusing the in-group view features to form group-level features, aggregating the group-level features to form a model descriptor of a final three-dimensional model, and matching the closest three-dimensional model based on the model descriptor. And on the basis of a feature fusion and association mechanism between the views, potential relationships between the views are mined, the robustness and discrimination of model representation are enhanced, and the accuracy and stability of a retrieval result are improved.

The invention discloses an obstacle distance measurement method and system based on panoramic tiled display. Four-way or six-way fisheye cameras are installed on a vehicle, images around a vehicle body are collected, 3D rendering splicing is carried out based on calibration data (internal parameters / external parameters), and a 360-degree panoramic aerial view image is generated. A user clicks two points of a screen through a display terminal, a system converts screen coordinates into 3D normalized vertex coordinates through viewport inverse transformation, relative coordinate differences are calculated and then expanded into homogeneous coordinates, the homogeneous coordinates are converted into physical coordinate differences in combination with a pre-stored rendering transformation matrix inverse matrix (generated by model / projection / view transformation combination), and the 3D normalized vertex coordinates are converted into 3D normalized vertex coordinates. And finally calculating the actual physical distance between the two points. The system supports dynamic refreshing of a ranging result and renders a distance marking line on a panoramic image. According to the method, through multi-camera calibration, coordinate space mapping and a matrix transformation algorithm, interactive obstacle distance measurement in a vehicle-mounted panoramic display scene is realized, and the method is suitable for intelligent driving, vehicle auxiliary driving and other scenes.

1. Name of the Design Product: Graphical User Interface for Quick Switching of Coordinate System Views for Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photograph Best Showing the Design Key Points: Interface Variation State Diagram 5. 5. Other views are conventional designs, and other views are omitted. 6. Use of the Graphical User Interface: This interface is used as an interactive interface for switching coordinate system views and view rotation in the simulation field. The front view is the initial interface, and there is a coordinate system tool in the upper right corner of the interface view part. Interface Variation State Diagram 1 is the interface presented after triggering the front projection view by clicking "FRONT" of the coordinate system tool in the front view. Interface Variation State Diagram 2 is the interface presented after triggering the switching of the right side view by clicking the "FRONT&LEFT" side line of the coordinate system tool in Interface Variation State Diagram 1. Interface Variation State Diagram 3 is the interface presented after triggering the switching of the isometric view by clicking the three-sided vertex of the coordinate system tool in Interface Variation State Diagram 2. At this time, a view rotation tool appears at the bottom of the coordinate system tool. Interface Variation State Diagram 4 is the interface presented after clicking the corresponding arrow in the view rotation tool in Interface Variation State Diagram 3. Interface Variation State Diagram 5 is the interface presented after clicking the corresponding arrow in the view rotation tool in Interface Variation State Diagram 4. Interface Variation State Diagram 6 is the interface presented after the model in the view is scaled to fit the window size by clicking the middle button of the view rotation tool in Interface Variation State Diagram 5. Interface Variation State Diagram 7 is the interface presented after clicking the corresponding arrow in the view rotation tool in Interface Variation State Diagram 6. 7. Other Situations Requiring Explanation Other Explanation: The shape of the geometric body in the middle of the interface can change according to the actual modeling situation.

1. Name of the product of this design: Graphical user interface for displaying product data for electronic equipment. 2. Purpose of this design product: for use in an electronic device. 3. The key design point of this design product lies in the interface content of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. The electronic equipment is of conventional design, and other orthographic projection views of each design are omitted. 6. Designate Design 1 as the base design. 7. Purpose of the graphical user interface: The product interface of this design is used to implement and switch the functions of product data display. 8. Human-computer interaction method of the graphical user interface: The second icon in the second row described below is arranged from top to bottom and from left to right; the main view of Design 1 is the initial interface of the graphical user interface with product data display, which is entered after starting / waking up the software / applet; click the "More Types" icon (consisting of 4 small circles, 1 of which is orange and the other 3 circles are gray) in the upper right corner of the main view of Design 1 to enter the Design 1 interface change state diagram 1; click the first rectangular data display icon in the second row below "Select Control" on the right side of Design 1 interface change state diagram 1 to enter the Design 1 interface change state diagram 2; the main view of Design 2 is the initial interface of the graphical user interface with product data display, which is entered after starting / waking up the software / applet; click the "More Types" icon (consisting of 4 small circles, 1 of which is orange and the other 3 circles are gray) in the upper right corner of the main view of Design 2 to enter the Design 2 interface change state diagram 1; click the second radar chart data display icon in the second row below "Select Control" on the right side of Design 2 interface change state diagram 1 to enter the Design 2 interface change state diagram 2.

1. Name of the Design Product: Graphical User Interface for Report Operations of Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lie in the content of the graphical user interface. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front View. 5. The electronic device has a conventional design, so other orthographic projection views are omitted. 6. Use of the Graphical User Interface: For information entry and table operations. 7. Human-Computer Interaction Method of the Graphical User Interface: The front view is the initial interface. Click on the two thumbnail symbols on the right side of the front view as shown in the interface change state diagram 1. Click "Save As" in the interface change state diagram 1 as shown in the interface change state diagram 2. Click "Filter" in the interface change state diagram 2 as shown in the interface change state diagram 3. Click "Sort" in the interface change state diagram 3 as shown in the interface change state diagram 4. Click "Display" in the interface change state diagram 4 as shown in the interface change state diagram 5. Click "Report Conditions" in the interface change state diagram 5 as shown in the interface change state diagram 6.

The application provides a pinhole image splicing true value acquisition and splicing method based on a heterogeneous camera combination. The acquisition method first symmetrically installs two pinhole cameras on a support, and installs an fisheye camera between the two pinhole cameras. Based on a double spherical camera model, the three cameras are calibrated to obtain the internal parameters and external parameters of the three cameras. The left eye pinhole view, the right eye pinhole view and the middle eye fisheye view of the target scene are simultaneously acquired by using the three cameras. The middle eye fisheye view is subjected to equirectangular projection. According to the internal parameters and external parameters of the three cameras, the left eye pinhole view and the right eye pinhole view are projected to the equirectangular projection view plane respectively, multi-camera coordinate system one is completed, and the splicing true value is obtained. The application has the core advantages of the hardware structure design and the heterogeneous camera image registration algorithm, can stably acquire images without seams and time sequence consistency, and provides strong support for the true value reference of the precision verification and model training of subsequent panoramic video splicing.

One or more applications access a first set of database tables via a first projection view mapping from a first name to a second name. At a given point in time, the one or more applications may detect an indication of a modification operation targeting the first set of database tables. In response to detecting the indication of the modification operation, the one or more applications may create a second set of database tables for storing results of the modification operation. In response to detecting a completion of the modification operation, the first projection view may be remapped from the first name to a third name, where the third name is associated with the second set of database tables. Then, the one or more applications may access the second set of database tables via the first projection view mapping from the first name to the third name.

The application discloses a laser radar SLAM method based on a multi-modal structure semantic feature, and comprises the following steps: acquiring laser radar point cloud data; performing cylindrical point cloud segmentation on the laser radar point cloud data based on an ERFNet method; performing ground point cloud segmentation based on a BEV projection view method; performing planar point cloud segmentation based on a region growing method; fitting the cylindrical point cloud into a cylindrical model, and fitting the ground point cloud and the planar point cloud into planar models respectively; acquiring a matching relationship between different cylindrical models, and acquiring a matching relationship between different planar models, and constructing a structure semantic map; storing the structure semantic map based on a voxel plane; and updating the structure semantic map based on a model matching and map incremental updating algorithm. The application effectively improves the laser radar SLAM positioning precision, and proposes an intuitive multi-modal structure semantic map, so that the construction and real-time updating of three kinds of structure semantic model maps can be realized.

The utility model discloses a splicing type three-view building structure which comprises a display frame and a plurality of display square blocks, and a clamping block structure and a clamping groove structure are arranged on the two adjacent side edges of the display frame respectively. Crisscrossed dividing strips are arranged in the display frame and divide the interior of the display frame into N rows and N columns of square frame units, and N is larger than or equal to 3; the display square blocks are detachably placed in the square frame units; the clamping block structure comprises a plurality of clamping blocks, the clamping groove structure comprises a clamping groove strip arranged on one side of the display frame, and a plurality of clamping grooves in one-to-one correspondence with the clamping blocks of the clamping block structure are formed in the clamping groove strip in the length direction of the clamping groove strip; according to the utility model, manifestation forms of an object under different visual angles can be effectively displayed, so that children can simultaneously observe three-dimensional figures and projection views of three views, the children can be helped to establish conversion thinking between a two-dimensional plane and a three-dimensional space, and the development of early-stage space intelligence of the children is facilitated.

A method include obtaining original projection data of an object. The original projection data may be acquired by scanning the object using a radiation device from one or more projection views. The original projection data may include truncation projection data that is acquired from at least one of the one or more projection views. In each of the at least one of the one or more projection views a truncation region of the object may be located outside an FOV of the radiation device. The method may include obtaining a target S-shaped extrapolation function based on the original projection data. The method may include determining, based on the target S-shaped extrapolation function and the original projection data, extended projection data corresponding to the at least one truncation region. The method may include generating an image of the object based on the original projection data and the extended projection data.

1. The name of this design product: the main body of the analyzer. 2. Purpose of this design: The overall product is used to determine the composition of a sample, and this partial design is used as the main body of the analyzer. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Designate Design 1 as the base design. 6. Other situations that need explanation Other explanations: The parts shown by dotted lines in the orthographic projection view and the stereoscopic view are the parts that do not require protection, and the parts shown by solid lines are the parts that require protection.

Methods and apparatus are disclosed herein to synthesize six degree-of-freedom views from sparce RGB-depth inputs. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to reproject a first red-green-blue (RGB) depth view and a second RGB depth view to a target camera position to obtain a first reprojected view and a second reprojected view, combine the first reprojected view and the second reprojected view into a blended view data based on a first weight map and a second weight map, the blended view including missing RGB depth information due to at least one of an occlusion or a disocclusion, and generate a six degree-of-freedom synthesized view of the blended view data, the synthesized view including the missing RGB depth information.

1. The name of this design product: Washing control graphical user interface with display screen panel. 2. Purpose of this design product: used for information display and interaction; this design product can be used in smart washing machines and washer-dryers. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Except for the orthographic projection view containing the graphical user interface, other views have no design points and are omitted. 6. Designate Design 1 as the base design. 7.Purpose of the graphical user interface: used to control and set the washing function of the washing machine. Users can interact by touching the virtual buttons on the interface.

Design 1 is a vertical beam of a shelf; Figs. 1.1 to 1.7 show six orthographic projection views and a perspective view of Design 1; Reference view 1.8 shows Design 1 in a status of use and forms no part of the claimed design.Design 2 is a horizontal beam of a shelf; Figs. 2.1 to 2.7 show six orthographic projection views and a perspective view of Design 2; Reference view 2.8 shows Design 2 in a status of use and forms no part of the claimed design.Design 3 is a horizontal beam of a storage rack; Figs. 3.1 to 3.8 show six orthographic projection views, one sectional view, and one perspective view of Design 3; Reference view 3.9 shows Design 3 in a status of use and forms no part of the claimed design.The products are made of metal; The double curved lines shown in the reproductions indicate the indeterminate length of the designs.

The invention discloses a GIS partial discharge diagnosis method based on a deep multi-view convolutional neural network, and the method comprises the steps: obtaining an ultrahigh frequency signal of GIS partial discharge, and extracting a physical parameter of the ultrahigh frequency signal to obtain a three-dimensional statistical graph containing a power frequency phase, a discharge capacity and the number of discharge times; inputting the three-dimensional statistical atlas into a partial discharge detection model; generating a plurality of orthogonal projection views from the three-dimensional statistical graph through coordinate transformation by using a multi-view projection layer; performing feature extraction on the plurality of orthogonal projection views by using a feature extraction layer to obtain feature maps of different scales; fusing the feature maps of different scales by using a feature fusion layer to obtain fused high-dimensional features; processing the high-dimensional features by using a full-connection classification layer to obtain a partial discharge type diagnosis result; according to the method, the calculation efficiency and the processing speed of fault diagnosis can be remarkably improved, and relatively high recognition accuracy and robustness can be kept under complex working conditions.

The invention relates to the field of precision casting, and particularly discloses a mounting and positioning method for a patch at a hot spot of a gas turbine blade, which comprises the following steps of: taking a 3D model of a blade casting and the patch to pass through transverse and longitudinal profile views of the patch and a contour projection view with the patch, and printing the profile view and the projection view in a two-dimensional drawing on paper according to a ratio of 1: 1, the method comprises the following steps: forming a patch profile hole on paper, trimming and cutting a patch shape on a wax block, cutting off 3D model parts in the paper passing through transverse and longitudinal section views of the patch into paper A and paper B, placing the paper A and the paper B at corresponding section positions of a blade wax mold entity respectively, marking the position of a notch where the patch is located, and cutting the patch into a patch shape. Bonding the patch on the blade wax mold; accurate positioning of the patch on the irregular curved surface of the blade is achieved, operation is easy, the research and development period is shortened, the design cost is reduced, and the method is suitable for initial design and preparation of the blade.

The present application belongs to the technical field of medical image processing, and particularly relates to a neural attenuation field method for iterative diffusion refinement of multi-source static CT reconstruction. In view of the reconstruction ill-conditioning problem caused by insufficient projection data under ultra-sparse view angle, the method first trains a neural attenuation field (NAF) model based on initial sparse projection; then adopts an angle prior guided strategy (APGPS) to adaptively determine a new projection view angle with the largest amount of information, and synthesizes the projection of the view angle by the NAF; then refines the synthesized projection by a double-branch conditional diffusion model (DRPR), and simultaneously predicts the structural residual and random noise; adds the refined projection as a pseudo-label to the training set, and iteratively updates the NAF model. The present application gradually expands the effective view angle coverage range through the iterative diffusion refinement mechanism, significantly suppresses the stripe artifact and restores the high-frequency details under the condition of no external labeled data, and breaks through the performance bottleneck of ultra-sparse view angle reconstruction.

1.1-1.6 represent six-sided orthographic projection views of an electrically heated air freshener in a combined state; 2.1-2.6 represent six-sided orthographic projection views of one component showing a main body of the electrically heated air freshener in the combination state; and 3.1-3.6 represent six-sided orthographic projection views of the other component showing a bottle for receiving the air freshener of the electrically heated air freshener in the combination state; 1.7-1.8, 2.7-2.8 and 3.7-3.8 respectively represent perspective views of the above designs; 1.9 represents a variation state view of the electrically heated air freshener in the combined state.

1. The name of this design product: Memory Pillow (Crown Goose). 2. Purpose of this design product: for people to sleep and rest. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1. 5. The existing views can clearly show the design in the left, right, top and top directions, and the corresponding orthographic projection views are omitted.

The present invention discloses a CT image processing method, apparatus, CT imaging device, and storage medium, comprising obtaining raw projection data from a sparse view angle; performing geometric weighting operations, ramp filtering operations, and smearing operations on the raw projection data based on the FDK algorithm to obtain first VVBP-Tensor data; sorting the first VVBP-Tensor data by pixel value in the projection view direction to obtain second VVBP-Tensor data; generating third VVBP-Tensor data from the second VVBP-Tensor data based on a pre-trained USV-GAN network, wherein the generator of the USV-GAN network adopts a UNet architecture combined with skip connections and stacking blocks to form a single-stage U-shaped network, wherein the stacking blocks include a multi-kernel depthwise asymmetric convolution operation block, a non-activation block, and multiple layer normalization blocks; and performing an angular summation operation on the third VVBP-Tensor data to obtain a three-dimensional reconstructed image. The present invention is capable of reconstructing three-dimensional images from sparse view angle image data.

Methods and systems are provided for improving the quality of an image generated by a single photon emission computed tomography (SPECT) imaging system (100, 200). Photons penetrating a protective shield (580) around a detector head (308, 408, 210) of the SPECT system (100, 200) may not be correctly processed by a reconstruction algorithm used to reconstruct an image from a plurality of projection views (701) acquired by the SPECT imaging system (100, 200), thereby generating artifacts (1121, 1112, 730) and reducing the quality of the image. In one embodiment, the artifacts (1121, 1112, 730) may be reduced or eliminated by selectively applying the reconstruction algorithm to a first partial column of pixels (1007, 1012) of the projected views (701) that does not include the artifacts (1121, 1112, 730), and not applying the reconstruction algorithm to a second partial column of pixels (1007, 1012) of the projected views that includes the artifacts (1121, 1112, 730). The number of the second partial pixel columns (1007, 1012) may be based on a sweep angle (550) of a detector (471) that acquires the projected view (701).

X-ray sources emit X-rays into an examination region along different projection views. An X-ray detector array detects the X-rays emitted by the X-ray sources after passing through the examination region. X-ray imaging data are acquired by cycling through the X-ray sources with each step of the cycle including: switching an active X ray source on to emit X-rays and the other X ray sources off to not emit X rays, and acquiring X ray imaging data along the projection view corresponding to the active X-ray source that is switched on. Tomosynthesis image reconstruction is performed on the X ray imaging data to generate at least one volumetric image. A time sequence of spatially aligned images is produced from the time sequence of volumetric images. A perfusion image and / or a ventilation image is generated based on voxel intensity variation over time of the time sequence of spatially aligned images.

1. Name of the Design Product: Graphical User Interface for Displaying Prize List Information of Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the content of the graphical user interface. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front View. 5. The electronic device has a conventional design, so other orthographic projection views are omitted. 6. Use of the Graphical User Interface: For displaying prize list information. 7. Human-Computer Interaction Method of the Graphical User Interface: The front view is the initial interface. Slide down the front view page. When it slides to the bottom, it is as shown in the interface change state diagram 1. Click "View Details" in the interface change state diagram 1, and it is as shown in the interface change state diagram 2. Click "Expenditure" in the interface change state diagram 2, and it is as shown in the interface change state diagram 3. 8. The "X" in the interface is text and / or numbers and / or letters and / or symbols.