44 results about "View plane" patented technology

The invention belongs to the technical field of automatic driving, and relates to a Transform attention mechanism-fused point cloud target detection method and system, and the method comprises the steps: 1, point cloud preprocessing: mapping an irregular sparse point set into a cylindrical voxel tensor of a fixed structure; 2, PillarVFE feature coding is carried out, and point-channel joint feature optimization is realized while the lightness of the network is maintained; 3, generating a pseudo image by the BEV backbone network, and mapping the pilar features to a two-dimensional aerial view plane after feature coding enhancement to form a dense BEV feature map; 4, outputting by a detection head, completing multi-scale feature extraction and context sampling fusion, and finally predicting a three-dimensional bounding box by the detection head; according to the method, the three-dimensional detection performance is remarkably improved in sparse, small-target and long-distance scenes while high reasoning efficiency is kept, and the method has good engineering practicability and research and popularization value.

The invention relates to the technical field of building models, in particular to a BIM-based building construction drawing design model construction method. The method comprises the following steps: extracting three-dimensional space coordinates and construction attributes of a component from a preset BIM building design model, wherein the construction attributes comprise layered material information of the component and the material thickness of each layer; projecting the three-dimensional space coordinates of the component to a two-dimensional view plane to generate a two-dimensional projection contour; calculating the vertical distance from the component to the view plane, and determining the display level of the component according to the size of the vertical distance; and identifying a construction node position on the two-dimensional projection contour, matching the construction node position with the construction attribute, and generating a detailed drawing index mark at the construction node position according to a matching result. According to the space distribution and the sideline direction of the blank area, the size marking lines are automatically generated, the reasonable spacing is kept, and the problems of shielding and overlapping are avoided.

The invention discloses a method, device and equipment for generating a building model expansion view and a storage medium, and the method comprises the steps: responding to a drawing instruction, and drawing a sectioning path in a non-linear state on a preset view surface of a three-dimensional building model; the three-dimensional building model is sectioned along the sectioning path according to a preset sectioning direction, and a three-dimensional sectioning plane, corresponding to the sectioning path, of the three-dimensional building model is obtained; straightening the sectioning path to obtain a reference linear direction, and expanding the three-dimensional sectioning plane along the reference linear direction to obtain a two-dimensional expanded view of the three-dimensional sectioning plane; according to the method, splicing of multiple views is not needed, and the plane expansion view corresponding to the sectioning path drawn based on the three-dimensional building model is efficiently and accurately generated.

An Artificial Intelligence Gaze Interface Sensor (AI GIS) system and method for precisely tracking human gaze on a digital or projected view plane without head-mounted hardware. A context camera detects a user's face and matches it against stored biometric profiles using AI facial recognition, automatically loading personalized eye geometry, inter-pupillary distance and gaze calibration data. A conditional activation controller initializes a second Peregrine Foveal Camera (PFC), modeled after the dual-fovea retina of the Falco peregrinus, only upon confirmed eye detection. An AI algorithm triggers visual effects, hidden content, animations, gaze-based engagements and semantically mapped audio on the digital or projected plane based on gaze coordinate outputs, from a dedicated computational pipeline, correlated to the digital or projected plane. This invention serves as the sensing layer for U.S. application Ser. No. 18 / 395,290.

The invention relates to a system for providing an aerial non-materialized projection of autostereoscopic images to an observer, the system comprising: a housing (30) comprising an opaque upper wall (20) extending parallel to a plane referred to as the viewing plane and provided with an opening; a front mirror (10) which passes through the opening at an angle, for example 45 degrees, relative to the horizontal plane, the mirror having a reflective surface facing the observer; a concave mirror (14) arranged at the bottom of the front mirror, facing the opening, and oriented with the concave and reflective surfaces thereof facing the inclined mirror; a screen (16) for displaying autostereoscopic images, which screen extends substantially perpendicular to the horizontal plane, which screen is arranged below the opaque upper wall, the distance from the image center of a concave mirror formed by the inclined mirrors being equal to the radius of curvature of the concave mirror, which screen is equipped with an array of lenses spaced apart from each other, therefore, the obvious change of the light reflected by the concave mirror can be compensated.

The invention provides a troposphere minimum scattering angle calculation method based on an earth reference ellipsoid, and the method comprises the steps: constructing a troposphere scattering path geometrical relationship, and calculating a spherical distance between a transmitting antenna and a receiving antenna; calculating the prime circle curvature radius of the earth reference ellipsoid at the latitude of the transmitting antenna and the latitude of the receiving antenna, the spherical distance between the highest obstacle of the transmitting antenna and the transmitting antenna, the included angle between the connecting line of the transmitting antenna and the receiving antenna and the transmitting view plane, and the spherical distance between the highest obstacle of the receiving antenna and the receiving antenna; and the included angle between the antenna connecting line and the receiving view plane line is received, so that the minimum troposphere scattering angle is calculated. According to the method, the geometrical relationship of the troposphere scattering path is constructed through the geodetic coordinates of the transmitting antenna, the receiving antenna and the electric wave ray encountering the highest obstacle, the mathematical model for calculating the minimum scattering angle of the troposphere is provided, the troposphere scattering signal transmission requirement is better met, and accurate calculation of the minimum scattering angle of the troposphere can be achieved.

According to an aspect, there is provided a method of processing a sequence of Ultrasound, US, images of an anatomical feature with periodic movements. The method comprises: i) using a first machine learning. ML, model to label detections of the anatomical feature in the images in the sequence according to view plane of the anatomical feature visible in each respective image; ii) obtaining a first cluster of consecutive images in the sequence that all correspond to a first view plane, based on the labelling; iii) using the first cluster as a first clip of the first view plane of the anatomical feature; repeating steps i), ii) and iii) to obtain a plurality of clips of different view planes of the anatomical feature; and selecting the first clip as a preferred clip of the anatomical feature from the plurality of clips, if the first clip comprises a cluster of consecutive images for which the respective labels are more statistically significant compared to other labels in the plurality of clips.

The invention relates to an early warning constellation k-means clustering method oriented to multiple targets. The invention relates to the technical field of spaceflight early warning constellation systems and multi-target clustering, and the method comprises the steps: obtaining target information, converting three-dimensional space coordinate information into two-dimensional space coordinate information through a visual plane projection method, and building a projection coordinate system; designing an initial value selection method of k-means clustering, and enabling the distribution of initial clustering centers to be relatively uniform; an outlier detection mechanism of a clustering target is designed, and class cluster division occupied by outliers is reduced; through plane projection, optimization k-means clustering, outlier detection and center detection methods, independent class cluster division of each satellite to a target group in a constellation is obtained. According to the method provided by the invention, the target group cluster division can be quickly obtained when the low-orbit early warning constellation faces more ballistic targets, so that the target coverage capability of the early warning constellation is improved.

The present invention relates to a surface inspection system (10) for inspecting the surface of a plate element (4) present in an inspection area (5), the surface inspection system (10) comprising an image evaluation unit (18), two light sources (12, 14) and a camera (16), wherein the two light sources (12, 14) are on opposite sides of an illumination plane (O11) and are oriented to illuminate the inspection area (5), the camera (16) being suitable for acquiring a line image (l12, l14) of the inspection area (5) along a viewing plane (O16), the illumination plane (O11) and the viewing plane (O16) being respectively arranged on opposite sides of a middle plane (M), the middle plane (M) being perpendicular to the inspection plane, the angle (α) between the illumination plane (O11) and the middle plane (M) and the angle (α) between the viewing plane (O16) and the middle plane (M) being equal. The invention also relates to a method for inspecting the surface of a sheet element (4) using the surface inspection system (10) described above, wherein a first light source of two light sources (12, 14) directs light onto the surface of the sheet element (4) to be inspected, and a camera (16) acquires a line image (16) of the inspection area (5). 12 ;1 14 ), then the second of the two light sources (14, 12) directs light to the surface of the plate element (4) to be inspected, and the camera (16) acquires a line image (1) of the inspection area (5) 14 ;1 12 ), wherein the image evaluation unit (18) compares the two acquired line images (1 12 ;1 14 ), specifically subtracting two line images from each other.

Systems and methods for automatic correction of view foreshortening in cardiac echo using view synthesis. A trained image segmentation method is used to infer a 2D pose from the input image. The pose is transferred to a new view representing a non-foreshortened view plane. A non-foreshortened image is then rendered.

The invention relates to a product size detection method and system, terminal equipment and a storage medium, and the product size detection method is realized through a detection table, a main camera and an auxiliary camera. The detection table is used for placing a detected product; the light of the main camera is perpendicular to the detection table top and is used for collecting a top view image of a detected product; the light of the auxiliary camera forms a certain inclination angle with the detection table surface, and is used for collecting the shadow and three-dimensional contour image of the detected product; the product size detection method comprises the following steps: obtaining a top view image collected by a main camera and a shadow and three-dimensional contour image collected by an auxiliary camera; determining the plane size of a top view angle of the detected product based on the top view image, and determining the height and the plane size of an inclined view angle of the detected product based on the shadow and the three-dimensional contour image; and performing weighted fusion on the plan view plane size and the inclined view plane size by using a predetermined scale factor to obtain the final plane size of the detected product.

The application provides a three-dimensional light field display method, device and electronic equipment for improving the view point density, and relates to the technical field of three-dimensional display. The three-dimensional light field display method for improving the view point density comprises the following steps: acquiring a plurality of first monocular views carrying numbering information in a first direction; determining the number of the first monocular view corresponding to the monocular view information filled in each position unit of a first light field synthesis graph according to the imaging position of each display unit on the display panel along the first direction on the viewing plane and the first light field view point density; filling the monocular view information in the plurality of first monocular views into the first light field synthesis graph according to the number of the first monocular view corresponding to the monocular view information filled in each position unit of the first light field synthesis graph; and sending the first light field synthesis graph to a display panel module. The application can significantly improve the view point density of the three-dimensional light field without changing the resolution of the light field display device.

A method of remote image data set presentation includes dividing an image viewing space of a client device into a set of three-dimensional (3D) volumes, wherein the image viewing space presents a two-dimensional (2D) viewing plane of data and determining a set of 3D volumes of the image viewing space intersecting the 2D viewing plane. The method further includes retrieving, from a data server, image data associated with each of the 3D volumes intersecting the 2D viewing plane and presenting a portion of the retrieved image data corresponding to a position of the 2D viewing plane within the image viewing space.

A viewfinder for viewing an object under magnification, the viewfinder comprising: an objective lens for producing an image of an object located in an object plane and having a radial extent defined by an aperture stop; a partially transmissive reflector for allowing light to be transmitted therethrough from the objective lens to a mirror assembly and for providing for the reflection of light returned thereto from the mirror assembly; a mirror assembly receiving a light component from the partially transmissive reflector and arranged to produce a focused image of the object in the mirror assembly and the light received from the mirror assembly being reflected back to the partially transmissive reflector and retransmitted to produce an image of the object; a viewing lens arrangement for producing an optical image of the object which isvisible to an observer at an exit pupil in a viewing plane; wherein the objective lens has a beam path angle (α) as defined by a distance from the object plane to the objective lens and a radial extent of the aperture stop, wherein the viewfinder has a viewing angle (β) as defined by a distance along an optical axis from the mirror arrangement in the viewing plane and a radial extent of the exit pupil in the viewing plane; wherein the viewfinder is configured such that a ratio of displacement of the beam path angle (α) to the viewing angle (β) is at least 3:1, thereby providing the observer with a greater change in the perception of the depth of the object being viewed relative to an extent of displacement of the observer's head.

The invention relates to a thermodynamic diagram generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of determining viewpoint information of a virtual camera in response to an operation instruction for a three-dimensional thermodynamic diagram, creating a view plane according to the viewpoint information and a preset distance parameter, screening out a target texture point from texture points according to position coordinates of the texture points in the three-dimensional thermodynamic diagram, and displaying the target texture point in the three-dimensional thermodynamic diagram. And projecting texture data bound with the target texture point to a visual plane based on the influence radius of the target texture point, and generating a two-dimensional thermodynamic diagram based on the projected visual plane. By adopting the method, the computing power utilization rate in the thermodynamic diagram generation process can be improved.

The application discloses a standing long jump measuring method and device, and the method comprises the following steps: calibrating a received standing long jump mat image and obtaining a perspective conversion matrix of an original plane coordinate system and a new view plane coordinate system; sending a take-off preparation prompt information after identifying that the face information of a tester is consistent with the pre-stored information; converting the original plane image including the real-time acquired tester bone data into a new view plane image through the perspective conversion matrix; receiving a first image of the tester in a standing long jump mat take-off area in the new view plane image, determining that the tester does not step / cross the take-off line, detecting the take-off condition of the tester, and detecting the landing image of the tester after determining that the tester takes off; determining whether the tester commits a rule violation through the landing image; if no rule violation is committed, obtaining the long jump distance of the tester based on the landing image; and if a rule violation is committed, sending a rule violation prompt signal. The application can accurately identify the rule violation actions of the tester in the standing long jump process, and improve the measuring accuracy.

A method of remote image data set presentation includes dividing an image viewing space of a client device into a set of three-dimensional (3D) volumes, wherein the image viewing space presents a two-dimensional (2D) viewing plane of data and determining a set of 3D volumes of the image viewing space intersecting the 2D viewing plane. The method further includes retrieving, from a data server, image data associated with each of the 3D volumes intersecting the 2D viewing plane and presenting a portion of the retrieved image data corresponding to a position of the 2D viewing plane within the image viewing space.

A maintenance tool and alignment system are provided having a first optical device and a second optical device. The tool includes the at least two optical devices such that they do not occupy the same space or interfere with the tool's function. In some embodiments, the first and second optical devices define or project a first viewing plane and a second viewing plane. The first viewing plane and second viewing plane are transverse to one another and intersect within a field of view of the first optical device creating an intersection. The intersection of the first and second viewing planes allows for the tool, via a processor or a control device, to alignment the tool within a workspace without a dependence on an estimation of a distance of the tool relative to the workspace.

This disclosure provides an airborne display system for a vehicle and a corresponding method. The system (100) comprises a display device (102) equipped with a height adjustment mechanism. The display device (102) includes at least one screen coated with a micro-flap layer (202), an optical arrangement (104) configured to move between a retracted position and an extended position, and a sensor arrangement (106) for detecting the movement of a vehicle occupant's fingers. When the optical arrangement (104) is in the extended position, it is designed to focus the light emitted by the micro-flap layer (202) onto a floating viewing plane (204) located between the optical arrangement (104) and the occupant.The sensor arrangement (106) enables the occupant to interact with the display device (102) by detecting the movement of the occupant's fingers as they cross the floating viewing plane (204).

The present application relates to a kind of based on the analysis method of installation height of fire shutter of BIM technology, step one: creating project model;Step two: creating fire shutter family, and using Dynamo to carry out batch translation mode;Step three: obtaining the corresponding structure beam of each fire shutter directly above;Step four: obtaining the limit height of fire shutter;Step five: according to the limit height value of fire shutter, adjusting the height parameter of fire shutter model one by one;Step six: parameterized calculation is allowed the maximum net height of fire shutter bottom precision ceiling;Step seven: the maximum net height of fire shutter allowed precision ceiling in the above step six is carried out batch text annotation in selected view plane, generates fire shutter limit installation bottom net height analysis chart.The present application improves the deepening design efficiency of fire shutter, reduces the demand of fire shutter bottom net height not satisfying on-site precision ceiling installation.

The application discloses a kind of based on Gaussian splashing air-ground scene three-dimensional reconstruction method, comprising: S1, obtains the multi-source air-ground scene image containing large pitch angle aerial photograph and ground view and camera pose;S2, based on the scene sparse point cloud generated by motion recovery structure, instantiation generates initial three-dimensional space element set;S3, introduce multi-measure adaptive density control mechanism to realize the adaptive matching of Gaussian density in different scale space;S4, by camera Jacobian matrix, three-dimensional space element is projected to two-dimensional view plane, after depth ordering, along the direction of ray extraction color and opacity, by Alpha mixing formula integration output predicted two-dimensional rendering image;S5, introduce multi-dimensional geometric constraint to guarantee the consistency of physical surface;S6, after S2-S5 closed loop circulation to convergence, extract and output high-precision three-dimensional reconstruction point cloud and new view two-dimensional rendering image.

This application relates to a semantic grid map construction method, system, and medium with automatic obstacle removal function, belonging to the field of lawnmower technology. The semantic grid map construction method includes: acquiring original point cloud data and original image data of the lawn according to the target projection resolution, and converting them to the same view plane; temporally synchronizing the original point cloud data and original image data to obtain a three-dimensional point cloud and a two-dimensional image, and transmitting them to a data queue; spatially transforming the three-dimensional point cloud, and constructing fused image data by combining object semantic labels with the two-dimensional image in a layered fusion mechanism; generating a lawn grid based on the fused image data, and marking obstacle nodes using a ray tracing mechanism to obtain a lawn grid map; accurately distinguishing obstacle types (static / dynamic, passable / impassable) through category information; and dynamically clearing grids in obstacle-free areas through a ray tracing mechanism, reducing false positive obstacles caused by limited detection field of view.

The invention provides a reliability evaluation method and system for an unmanned driving perception system, and relates to the technical field of data processing, and the method comprises the steps: synchronously obtaining mine card detection data based on a multi-source sensor; after image data and point cloud data in the mine card detection data are preprocessed, target detection is carried out on the image data and the point cloud data, and candidate area images and candidate area point clouds containing a target mine card are obtained; extracting multi-scale visual features from the candidate region images through a convolutional neural network, extracting spatial features from the candidate region point clouds, and performing inter-frame association and fusion on the multi-scale visual features and the spatial features based on coordinate transformation to generate a frame-level reference true value; the multi-scale visual features comprise bounding boxes, confidence coefficients and category labels; the spatial features comprise a central point thermodynamic diagram of a target mine card on an overlook plane, the size of the mine card and orientation regression; and checking the mine card detection data of each sensor and the frame-level reference truth value, and determining the detection confidence coefficient.

The present disclosure provides concepts for curating medical images of an anatomical structure acquired during an examination. Curating the medical images includes obtaining a user preference indicating desired anatomical sub-structures in a target view plane, generating a segmentation score for each medical image depicting the target view plane, and identifying primary medical images based on the segmentation scores. The segmentation score indicates a confidence of the desired anatomical sub-structures being present in the respective medical image. The invention enables customized curation of medical images based on user-specified anatomical features, improving efficiency and relevance of selected medical images from an examination, such that subsequent medical image analysis may be more effective and efficient.

Systems and techniques are described for redirecting light. For example, an apparatus for redirecting light can include a display positioned along a first optical axis. The first optical axis passes through a viewing plane of the display and intersects with a viewing position. The apparatus can include a first light redirecting element positioned along the first optical axis. The first light redirecting element is configured to redirect light from a scene toward a second optical axis. The apparatus includes an image sensor. The image sensor is configured to receive the light from the scene. The first light redirecting element is included along an optical path between the scene and the image sensor.

The application discloses a multi-view target detection and tracking method based on view-angle-space joint attention, and the steps are as follows: acquiring multi-view images aligned at the same time, extracting two-dimensional features and projecting the two-dimensional features to a bird's eye view plane; calculating effective observation regions of each view angle; weighting and fusing multi-view features by using a view-angle-space joint attention module and an uncertainty perception fusion module, and gain modulating in combination with a region prior heat map; inputting the fused features into a decoding network to obtain detection results, and then inputting the detection results into a tracker to complete target association and track state updating; in a training stage, a teacher network and a student network are adopted, and the network is trained by using a supervision constraint and a cross-view self-supervised consistency constraint. The application can improve the stability of multi-view target tracking in a complex scene, and has the advantages of strong robustness and convenience for engineering deployment.

Disclosed embodiments include a display system having a viewing window on a viewing plane, the display system comprising a picture-generating unit and an imaging system, where the picture-generating unit displays a picture on a display plane that is a holographic reconstruction formed from a hologram of the picture. The imaging system comprises a projection lens disposed between the display plane and viewing plane, an aperture stop, and a waveguide pupil expander. The projection lens comprises a pair of planar surfaces that define the boundaries of the projection lens, the aperture stop restricts the aperture of the projection lens in the first direction and forms the limiting aperture stop of the imaging system, and the waveguide pupil expander receives light of the picture from the projection lens through the aperture stop and replicates the aperture stop to expand the viewing window of the display system.

The invention provides a bird's-eye view construction method and device, a vehicle and a computer readable storage medium, and relates to the technical field of image processing, and the method comprises the steps: obtaining first bird's-eye views of a plurality of cameras in the vehicle, obtaining a plurality of first bird's-eye views, determining the corresponding index coordinates of the pixel point coordinates of each first bird's-eye view in an image index table, and obtaining a plurality of first bird's-eye views; on the basis of the camera identifier carried by the index coordinate, retaining one overlapping region included in each group of overlapping regions in the plurality of first aerial views, and filtering other overlapping regions to obtain a plurality of second aerial views, the camera identifier represents whether a camera corresponding to the camera identifier has an effective field angle in a plane area of an aerial view plane of the vehicle; and fusing the plurality of second aerial views to obtain a panoramic aerial view. According to the invention, repeated data carrying and storage operations during the construction of the vehicle panoramic aerial view can be avoided, the memory bandwidth occupation can be greatly reduced, and the construction efficiency of the vehicle panoramic aerial view can be improved.

The application discloses a virtual Grid arrangement method and system based on proton radiotherapy beam direction optimization. The method comprises the following steps: acquiring tumor target region contour data of a patient, and organ at risk and / or planning risk volume contour data, constructing structure binary images, internal shrinkage three-dimensional images and external expansion three-dimensional images; in a plurality of candidate beam directions, a beam direction robustness score is constructed according to water equivalent path length penetrating the target region, and a target beam direction is determined; the target beam direction is taken as the central axis direction of a virtual Grid cylinder, an initial Grid center coordinate set is generated in a two-dimensional beam eye view plane perpendicular to the target beam direction; a continuous available interval is searched along the target beam direction for the optimized center coordinate, and a finite length virtual Grid cylinder is generated; and a virtual Grid arrangement result is determined and output according to a Grid volume proportion, a minimum safety distance, a cylinder separation degree, a weighted normal tissue overlapping volume and a robust risk penalty term.

Embodiments of the present invention relate to a processing method and apparatus for self-supervised learning based on multimodal information. The method comprises: extracting an original point cloud and a first surround view; performing data augmentation on the original point cloud to generate first and second point clouds; filtering the ground point cloud; inputting the first and second point clouds into a point cloud bird's-eye view feature extraction network to generate first and second feature maps; inputting the first surround view into an image bird's-eye view feature extraction network to generate a third feature map; performing first multimodal information sample preparation processing; performing bird's-eye view plane clustering on the first and second point clouds; performing sample clustering processing; performing second multimodal information sample preparation processing; and constructing first multimodal, second multimodal, and overall loss functions to learn network parameters of the point cloud bird's-eye view feature extraction network. The present invention can shorten data preparation time and improve network learning accuracy and training adequacy.