84 results about "Stereo imagery" patented technology

The invention provides a large-scale satellite three-dimensional image data processing method, medium and system, and belongs to the technical field of satellite three-dimensional image data processing.The method comprises the steps that Gaussian filtering and wavelet noise reduction preprocessing is conducted on an image, and then cooperative computing of a GPU and a CPU is achieved based on a computing task distribution function. Through multi-scale feature extraction and matrix optimization, a stable feature matrix and a variable feature matrix are obtained. A quadtree spatial index is adopted to carry out data partitioning, and SIFT feature extraction and K-means clustering are combined to optimize feature representation. And establishing a stereoscopic image registration model, determining an optimal splicing sequence through a minimum spanning tree algorithm, realizing image splicing by adopting a progressive texture fusion method, and finally generating a high-precision three-dimensional earth surface model. According to the invention, the unification of processing efficiency and precision is realized, and the technical problem that the processing efficiency of large-scale stereoscopic image data is difficult to improve on the premise of ensuring the processing precision in the prior art is solved.

The invention provides an urban area-oriented multi-source remote sensing data joint positioning method and system, and the method comprises the steps: obtaining a plurality of optical stereoscopic images and corresponding connection point data, constructing an optical stereoscopic block, and extracting laser elevation control point data and digital surface model data in the range of the optical stereoscopic block; calculating a ground coverage range of a plurality of optical stereoscopic images, mapping the ground coverage range to a grid unit by adopting a grid lookup table, obtaining a laser point accurate image space coordinate by combining the screened laser elevation control point data, and outputting a laser elevation control point set; calculating a laser elevation control point set based on a rational function model and affine transformation, and constructing a multi-source remote sensing data joint adjustment function model; and resolving the multi-source remote sensing data joint adjustment function model to form an observation error equation, performing heuristic search solution on the observation error equation, and outputting an adjustment model parameter result and a final connection point ground coordinate.

The invention provides a same-platform area array image assisted linear array image geometric accuracy improving method, and belongs to the technical field of electrical digital data processing.The method includes the steps that firstly, a linear array and area array image rigorous imaging geometric model is constructed according to attitude orbit data and calibration parameters; introducing external elevation data and substituting the area array image pixel ground coordinates into the linear array image rigorous imaging geometric model for back calculation to obtain a simulation area array image; matching the real and simulated area array images to obtain dense homonymy points, and determining corresponding positions on the linear array image; correcting systematic distortion by adopting an affine transformation model, wherein a residual error is high-order distortion caused by high-frequency attitude jitter; sorting according to the coordinates of the homonymy points to form a two-dimensional grid, and voting based on the parallax difference to calculate scores; optimizing attitude parameters by adopting an iterative detection strategy to eliminate the influence of the attitude error of the area array image; and finally, reconstructing a linear array image geometric model by utilizing the optimized attitude data, generating a geometric seamless sensor correction image, and realizing uncontrolled elevation precision improvement of a stereoscopic image.

The invention provides a three-dimensional image modeling method and device based on plane data, and the method comprises the steps: carrying out the full-color / multispectral band fusion, bit depth adjustment, thin cloud removal, image enhancement, stripe removal and light and color uniformity of a satellite surveying and mapping image, and achieving the real color recovery of the image; performing splicing preprocessing on the plurality of small orthographic satellite surveying and mapping images after real color recovery, performing image registration on the to-be-registered image and a reference image, performing image geometric correction on the registered image, and performing image mosaic processing on the plurality of images after image geometric correction to obtain a single large-scene image; and three-dimensional image matching, building mask extraction, three-dimensional building modeling and three-dimensional building post-processing are carried out on a single large scene image to obtain a three-dimensional digital surface model, and ground three-dimensional real image modeling is completed. By applying the technical scheme of the invention, the technical problem that the existing two-dimensional surveying and mapping data is difficult to meet the increasing application requirements of three-dimensional scenes is solved.

The invention relates to the technical field of satellite image processing, and particularly discloses a different-orbit stereo image pair automatic construction and selection method for a large-area target, and the method comprises the steps: obtaining a satellite stereo image data set, assigning elements, constructing a different-orbit stereo image pair, and selecting the different-orbit stereo image pair. Wherein three rounds of stereo image pair selection are carried out on the basis of a strategy that the overlapping area is preferential and the overlapping area proportion between image pairs is limited, and finally a stereo image pair automatic construction and selection result which can cover a large-area target range and uses the least number of stereo image pairs is obtained. The production efficiency is improved, and meanwhile it is guaranteed that the low-quality phenomenon of the production result is avoided.

The invention discloses a glacier mass balance calculation method for generating an elevation time sequence based on ASTER stereo data. The glacier mass balance calculation method comprises the following steps of: 1, collecting a glacier ASTER L1A stereo image and preprocessing the glacier ASTER L1A stereo image; 2, the quality of the ASTER stereoscopic image pair is improved through radiation correction and strip removal processing; 3, calculating a rational polynomial coefficient RPC model of the ASTER stereo image pair, and detecting and correcting a jitter error of a satellite in a vertical orbit direction; 4, performing residual deviation correction by using the reference ASTER DEM data; 5, high-precision ASTER DEM data are obtained through abnormal value filtering; 6, generating time-continuous ASTER DEM data by adopting a Gaussian process regression method; and 7, calculating the volume change of each glacier, and polymerizing the volume change of each glacier to obtain the overall mass balance change of the regional glacier. According to the method, high-precision and time-continuous ASTER DEM data are generated through correcting satellite jitter errors by a system, and abnormal value filtering and statistical aggregation are combined, so that the mass balance change of the large-scale regional glacier is accurately calculated.

The utility model provides a naked eye aerial imaging device of a culture gallery, the top of the culture gallery is provided with a naked eye 3D display module used for displaying 3D images, the naked eye 3D display module comprises a first multi-point naked eye 3D display and a second multi-point naked eye 3D display which are mutually symmetrical; the negative refractive index optical element is used for respectively refracting 3D images formed by the first multi-point naked eye 3D display and the second multi-point naked eye 3D display to different 3D viewpoint positions and forming three-dimensional images at two positions in the air, the negative refractive index optical element comprises a first transparent substrate, a first optical waveguide layer, a second optical waveguide layer and a second transparent substrate which are attached in sequence. And the two multi-view imaging devices are respectively used for displaying the three-dimensional images at two positions, the two multi-view imaging devices are symmetrically arranged, and the two multi-view imaging devices and the negative refractive index optical element are arranged at an angle, so that a screen at the back can be hidden, and the three-dimensional display device looks more scientific and fantastic.

The invention discloses an urban building unit data acquisition method based on machine learning, which comprises an optical remote sensing camera, a ground control station, a data processing center, a point cloud scanner, a three-dimensional ground penetrating radar and a remote sensing data system composed of a deep learning system, the optical remote sensing camera, the ground control station and the data processing center. The beneficial effects of the invention are that the method employs a satellite remote sensing technology to carry out the three-dimensional image of the building in the urban district, obtains the detail data of the existing building through point cloud three-dimensional scanning, builds a three-dimensional building model, and employs an AI algorithm to carry out the intelligent recognition of a building unit; underground pipe network distribution is identified through a three-dimensional ground penetrating radar, an underground pipeline model is established in combination with a BIM technology, a building model and the underground pipeline model are integrated, a city unit gene pool is established, machine learning is performed through a neural network model, city building unit identification efficiency is improved, and city update and development are powerfully promoted.

The invention relates to the technical field of geographic information data processing, in particular to a low-altitude unmanned aerial vehicle flying building height rapid measurement method, which comprises the following steps: acquiring satellite stereoscopic image data and ground control point data in a task area, and performing aerial triangulation according to the data to obtain a measurement result; generating dense point cloud data of the operation area according to a measurement result; performing feature extraction on the satellite stereoscopic image data and the dense point cloud data to obtain feature results, fusing the feature results by using a predefined deep learning model, and automatically classifying the point cloud data; extracting ground point layer height information and building point layer height information from the point cloud data according to building contour and roof structure characteristics; and finally determining the height of the building according to the building point floor height information and the ground point floor height information. According to the invention, multi-source data and an intelligent algorithm are fused, efficient and accurate building height measurement is realized, and key data support is provided for flight of the low-altitude unmanned aerial vehicle.

The utility model discloses a 3D projection lamp, and relates to the technical field of projection lamps. Comprising a projection lamp body, the projection lamp body comprises a lamp shell, an angle-adjustable base is arranged at the bottom of the lamp shell, a lamp assembly is arranged in the lamp shell, and the lamp assembly comprises a lamp panel. Through the optical combination that the film main body is matched with the double-arc-shaped lens and the six-in-one lens, multi-angle light splitting and dynamic refraction are achieved, a three-dimensional image can be presented without wearing 3D glasses, the LED lamp beads, the first arc-shaped lens, the film main body, the second arc-shaped lens and the lens main body are coaxially designed, the light path alignment precision is ensured, image distortion is eliminated, and the image quality is improved. The base can be directly placed in flat areas such as a table top, a floor or a windowsill through the base body, the surface of a carrier does not need to be damaged, the base is suitable for indoor exhibition halls and cafes needing temporary setting, wind power and external force shaking are resisted by inserting the ground insert into soil or lawns for use, and long-term stable projection of outdoor courtyards, gardens and other scenes is ensured.

The invention discloses an image partition backlight naked-eye stereoscopic image display device which is suitable for being matched with an imaging half-reflecting mirror for use, a display comprises a main display module and a shading module, the light-in side or the light-out side of the main display module is overlapped with the shading module, the display is divided into a plurality of blocks and switched in a time-sharing mode, and the display is matched with a backlight source for corresponding switching. Therefore, the effect of image partition display is achieved, the problems of ghosting and crosstalk caused by insufficient response speed of the main display module when left and right eye parallax images are quickly switched are solved, and the brightness of image watching can be adjusted by changing the display time of the display blocks.

To provide a graphic display device and a program capable of superimposing a reflection image onto a penetration stereoscopic image by using no half mirror to display an image such as 3D hologram at relatively low cost.SOLUTION: A graphic display device includes: a stereoscopic object 20; both side walls 13 and 13 extending forward from the stereoscopic object side on both sides of the stereoscopic object; and a transparent plate 30 slantly disposed so that a lower end part 32 is located forward of an upper end part 31 between both side walls and at the front of the stereoscopic object. Both side walls support a portable terminal 100 having a display 110 with the display 110 facing downward.SELECTED DRAWING: Figure 5

The present application relates to the field of space photogrammetry and water conservancy surveying and mapping technology, and particularly relates to a Gao Fen 7 satellite water conservancy stereoscopic mapping and three-dimensional modeling method and system, comprising: using a water conservancy facility topology characteristic quantitative evaluation model to screen the same-track stereo images, and performing same-track stereo image splicing and fusion based on river linear topology, reservoir area surface topology and canal system node topology; dividing terrain subareas and establishing a terrain slope and RPC parameter correlation correction model. The present application takes water conservancy facility topology characteristics as the core driving force, runs through the whole process of image preprocessing, space three solution, image control layout, point cloud processing and three-dimensional modeling, replaces the precision control role of traditional dense image control points through topology constraint, solves the problems of insufficient image control precision, high image control point layout cost and low large scene modeling efficiency of existing satellite stereoscopic mapping in complex water conservancy topography, and realizes efficient and high-precision application of Gao Fen 7 satellite images in water conservancy engineering surveying and mapping.

The present application belongs to the field of surveying and mapping, and more particularly relates to a method for combined adjustment of island and reef images and laser height measurement under water edge line constraint. The present application comprises the following steps: S1, input of multi-source satellite data; S2, extraction of water edge line points; S3, extraction of photon points; S4, preparation for combined adjustment, including S41, stereo image preprocessing, S42, generation of water edge line height control points, and S43, generation of laser point height control points; S5, combined adjustment and compensation, comprising S51, combined adjustment, and S52, affine transformation compensation on the adjustment result. The present application introduces elevation constraints such as water edge line and fuses spaceborne laser height measurement data to construct multi-source height control points, realizes high-precision three-dimensional mapping of sea reef areas under the condition of no ground control, and thus more efficiently and stably solves the mapping problems of difficult acquisition of field control points, insufficient precision of open source DEM, and uneven distribution of laser points.

The invention provides a virtual image display device and a stereoscopic image establishing method. The virtual image display apparatus includes a head-mounted display and an accessory. The head-mounted display performs an image capture action on a first region of an object to obtain first image information. The accessory is provided with a first image capturing device which is used for performing an image capturing action on a second area of the object to obtain second image information. The head-mounted display establishes stereoscopic image information of the object according to the first image information and the second image information.

This application discloses a digital sand table system and a light field image rendering method using image rendering. The system reconstructs a 3D scene model using neural radiation fields and performs light field rendering on the scene image. It uses eye tracking to locate the viewer's position and performs directional light rendering, significantly improving processing efficiency compared to rendering images from all angles. Furthermore, the system reproduces the rendered directional image using light field display technology, allowing the stereoscopic image to change with the viewer, enhancing interactivity. In addition, the system can change the content of the stereoscopic image by modifying the 3D scene image and provides interactive processing operations, offering advantages over traditional sand tables in terms of freely changeable stereoscopic image content and superior interactive effects.

The present invention provides a method for improving the geometric accuracy of linear array images assisted by same-platform area array images, belonging to the technical field of electronic digital data processing. The present invention first constructs a rigorous imaging geometric model of linear array and area array images based on attitude trajectory data and calibration parameters; introduces external elevation data and substitutes the ground coordinates of area array image pixels into the rigorous imaging geometric model of the linear array image to inversely calculate and obtain a simulated area array image; matches the real and simulated area array images to obtain dense same-name points and determines the corresponding positions on the linear array image; uses an affine transformation model to correct systematic distortion, and the residual error is the high-order distortion caused by high-frequency attitude jitter; forms a two-dimensional grid by sorting the coordinates of the same-name points, and calculates scores by voting based on the difference in parallax; uses an iterative detection strategy to optimize attitude parameters to eliminate the influence of the attitude error of the area array image; and finally uses the optimized attitude data to reconstruct the geometric model of the linear array image to generate a geometrically seamless sensor-corrected image, thereby achieving uncontrolled elevation accuracy improvement of the stereo image.

A stereoscopic display system includes a first stereoscopic display, a second stereoscopic display and a first controller. The first stereoscopic display is suitable for enabling the sight direction of a viewer to face the center of the display surface of the first stereoscopic display. The second stereoscopic display is suitable for being arranged beside the first stereoscopic display, and a first included angle between the display surface of the second stereoscopic display and the extension surface of the display surface of the first stereoscopic display is larger than 0. The first controller is in signal connection with the first stereoscopic display and is electrically connected with the second stereoscopic display. And according to the first included angle, the first controller controls the second stereoscopic display, so that the stereoscopic image from the display surface of the second stereoscopic display viewed by the viewer is equivalent to the stereoscopic image from the display surface of the second stereoscopic display when the first included angle is equal to 0.

This invention provides a binocular high-resolution digital imaging real-time stereoscopic vision microscope system, comprising a binocular microscope body (consisting of a binocular zoom parfocal optical path and a microscope magnifying objective camera), a binocular imaging subsystem, and a stereoscopic image display. The binocular imaging subsystem includes: an image projection correction calculation module, which acquires original left and right image data through the binocular microscope body, performs manufacturing parameter consistency correction and image projection correction on the original left and right image data, and obtains a projection distortion-corrected image; and a stereoscopic image output calculation module, which, based on the distortion-corrected image, performs photographic spatial projection position and attitude correction to obtain a large depth-of-field digital stereoscopic image, and transmits the ultra-depth-of-field digital stereoscopic image to the stereoscopic image display for real-time display. This invention can obtain nanometer-level sampling resolution digital images, eliminate image projection distortion caused by manufacturing and installation errors of the microscope body, and achieve high-resolution, high-magnification microscopic stereoscopic image observation.

The present invention discloses a stereoscopic image display device, which includes: a flat display unit, a lens array unit, and a light guide structure unit. The light guide structure unit includes a light guide microstructure. The light guide microstructure is arranged on one side of the lens array unit. The bottom angle of the light guide microstructure is defined as B, and the bottom side length of the light guide microstructure is defined as P. In addition, the bottom angle B and the bottom side length P of the light guide microstructure meet the following conditions: (i) 15.5 degrees ≤ B ≤ 83.5 degrees; and (ii) 10 microns ≤ P ≤ 2,000 microns, so that the oblique viewing angle of the stereoscopic image display device falls within the range of 10 degrees to 60 degrees. Thereby, the stereoscopic image display device can provide a better oblique viewing angle, so that the user can watch a good quality stereoscopic image at the oblique viewing angle.

The application provides a monocular high-resolution digital image stereovision microscope system, and relates to the technical field of stereovision microscopes. The system comprises: a computer photography control subsystem which controls a microscope body to complete zoom parfocal focusing and drives a sample platform to move a set baseline distance in the horizontal direction. The microscope body is photographed before and after movement to generate overlapping first digital left images and second digital right images to construct a stereoscopic image pair. A computer calculation storage subsystem performs calibration calculation correction on the stereoscopic image pair to eliminate image projection distortion, and pushes the corrected image data to a stereoscopic image display to observe digital stereovision images. The application solves the problems in the prior art that high-resolution monocular microscopes cannot realize stereovision image observation and that existing three-dimensional microscopic devices cannot simultaneously achieve high-resolution imaging and stereovision observation and detection.

A stereoscopic image scanning device comprises a linear scanning optical module, a planar scanning optical module, an image acquisition module, a motion platform and a control module. The linear scanning light module is used for projecting linear light to an object to be measured along an incident angle. The plane scanning light module is used for projecting plane light to an object to be measured along the same incident angle. The image capturing module is used for capturing the linear light or the planar light reflected by the object to be measured so as to obtain a first linear image or a planar image. The motion platform is used for controlling relative movement among the object to be detected, the linear scanning light module, the plane scanning light module and the image acquisition module so as to scan the object to be detected along a scanning direction.

The invention discloses a terrestrial ecosystem carbon monitoring satellite laser-assisted block adjustment method, which comprises the following steps of: three-dimensional image connection point generation: constructing a multi-stage pyramid for forward-looking and backward-looking 19-degree panchromatic images, and carrying out layer-by-layer matching inspection to obtain intra-scene and inter-scene connection points; free net adjustment: taking the connection point as control, gradually tightening a threshold and eliminating gross errors to obtain free net adjustment RPC irrelevant to absolute elevation; preparing a laser control point; laser-three-dimensional combined adjustment: taking the laser control point and the three-dimensional image connection point as observation values together, and carrying out forward intersection to obtain a corrected intersection control point; and final RPC determination: revising the image RPC again by using the revised intersection control point, and obtaining a final adjustment parameter after iterative convergence. According to the method, combined refinement of the free network and the laser absolute elevation is achieved through three-dimensional connection point hierarchical optimization, laser elevation replacement and distance reciprocal weighted coupling correction, and the geometric precision and reliability of block adjustment are remarkably improved.

The present invention discloses a method and system for three-dimensional image analysis and recognition based on a cloud computer. The method includes: acquiring image data captured by at least two imaging devices for photographing a target object; inputting the first image data and the second image data into an image analysis model to determine the first coordinate information of the target object in the first image data and the second coordinate information of the target object in the second image data; determining the three-dimensional image mapping relationship between the first imaging device and the second imaging device; verifying the first coordinate information and the second coordinate information according to the three-dimensional image mapping relationship to determine the credibility of the first coordinate information and the second coordinate information; when the credibility of the first coordinate information and the second coordinate information exceeds a preset credibility threshold, using the first coordinate information as the annotation data of the first image data and using the second coordinate information as the annotation data of the second image data to form training data.

A computer program product and corresponding method for targeting one or more points in a three dimensional (3D) model is provided. The computer program product including least one non-transitory computer readable storage medium in operative communication with a computer processing unit (CPU), the storage medium having instructions stored thereon that, when executed by the CPU, implement a process to register the 3D model with a stereoscopic image pair. The steps performed include inputting a first image and a second image that define a stereoscopic image pair into an object targeting program, wherein an object is shown in the first image and the second image, inputting a three dimensional (3D) model of the object into the object targeting program, registering the 3D model to the stereoscopic image pair, and targeting a point associated with or near the object based on the 3D model having been registered to the stereoscopic image pair.

The invention relates to a floating three-dimensional display device. The device comprises a plurality of floating display modules, each floating display module comprises an image processor, and the floating display modules are adjacently arranged; wherein each image processor provides three-dimensional image data to each floating display module; wherein the three-dimensional image data are respectively generated in response to different simulation view angle ranges of the reference image data; each floating display module projects a stereoscopic image in the stereoscopic display space according to each stereoscopic image data; wherein the overlapped part of each three-dimensional display space forms a three-dimensional imaging space, so that each three-dimensional image is overlapped in the three-dimensional imaging space to form a floating three-dimensional image.

The embodiment of the invention discloses an image processing method and device, relates to the technical field of media, and is used for obtaining a relatively accurate camera imaging model. The method comprises the following steps: acquiring a satellite stereoscopic image and a camera image, wherein the satellite stereoscopic image comprises a plurality of satellite images shot by a satellite; determining connection points between the plurality of satellite images and the camera image; and determining a second imaging model of the camera according to the connection points between the plurality of satellite images and the camera image, the first imaging model of the camera and the imaging model of the satellite. According to the scheme provided by the embodiment of the invention, the camera image can be matched through the satellite image to obtain the connection point between the satellite image and the camera image; and updating an initial imaging model (i.e., a first imaging model of the camera) of the camera by combining the obtained connection points with an imaging model of the satellite so as to obtain a relatively accurate imaging model (i.e., a second imaging model of the camera) of the camera.

The embodiment of the present application provides a kind of based on classification global energy constraint stereoscopic image feature matching method and device, the stereoscopic image feature matching method based on classification global energy constraint includes: the feature point on reference image is divided into reference target feature point set and reference background feature point set, and the feature point on image to be matched is divided into target feature point set to be matched and background feature point set to be matched;The reference target feature point set and the target feature point set to be matched are matched, and the reference background feature point set and the background feature point set to be matched are matched, to obtain the feature matching result of stereoscopic image.Some embodiments of the present application divide the feature point on stereoscopic pair into target point set and background point set, and when feature point matching, target point set is only matched with target point set, can effectively reduce the search range of same name point, eliminate matching gross error, improve the efficiency, reliability and stability of matching.

In order to solve the problem that the image cannot break through the range of the display screen in the traditional integrated imaging display device, the application provides a super field of view display device based on high-order integrated imaging. The super field of view display device based on high-order integrated imaging comprises an image element array, a two-dimensional light splitting element and a reflecting surface. The on-screen stereoscopic image element array and the off-screen stereoscopic image element array are calculated through double-channel integrated imaging, and then the projection direction of the on-screen and off-screen stereoscopic image element array is further limited through the diaphragm limiting function, so that the on-screen stereoscopic image and the off-screen stereoscopic image can be displayed through the screen body and the mirror image thereof in the reflecting surface respectively, and finally the mirror image in the reflecting surface can make the range of the stereoscopic image exceed the range limitation of the screen and realize the super field of view display.

The present invention provides a large-scale satellite stereo image data processing method, medium and system, which belongs to the field of satellite stereo image data processing technology. First, the image is pre-processed by Gaussian filtering and wavelet noise reduction, and then the collaborative calculation of the GPU and CPU is realized based on the calculation task allocation function. Through multi-scale feature extraction and matrix optimization, a stable feature matrix and a variable feature matrix are obtained. Quadtree spatial index is used for data segmentation, combined with SIFT feature extraction and K-means clustering to optimize feature representation. A stereo image registration model is established, the optimal splicing order is determined by the minimum spanning tree algorithm, and the progressive texture fusion method is used to realize image splicing, and finally a high-precision three-dimensional surface model is generated. The present invention achieves the unity of processing efficiency and accuracy, and solves the technical problem that the existing technology is difficult to improve the processing efficiency of large-scale stereo image data while ensuring processing accuracy.