128 results about "Coordinate projection" patented technology

The present invention provides an electronic information system and a method thereof, and constructs two sets of subsystems of field data collecting and indoor data processing. The field data collecting system is based on a Mobile GIS platform and is combined with GPS positioning, GPRS network, bluetooth communication, etc. The field data collecting system realizes high-precision positioning of earth monitoring, uses different methods for executing difference positioning, digital information collecting, eraser list constructing, photograph taking / camera shooting evidence obtaining and terrain hyperlinking for realizing electronic information of field land surveying at the state with / without VRS network. The indoor data processing system is based on SuperMap GIS developing platform and Browser / Server structure, and is combined with XML data interchange, spatial geographical coordinate projection switching, overlapping analyzing, etc. The indoor data processing system realizes multiple functions of indoor multi-source map data expression and operation, combined inquiry, report generation, land monitoring database updating, property formwork customizing, etc., and realizes electronic information of indoor land monitoring operation.

A method (and system) of embedding data into an image, includes producing an extended image using a halftoning algorithm on a collection of images, and projecting the extended image onto its first coordinates.

The invention provides a touch positioning control method based on a projection image. According to the method, a touch operation application program is run through a computer, the position of a control point is specified in the projection image area of a computer display image projected by a projector, conversion of touch positioning control is carried out by the computer according to an image coordinate-projection world coordinate conversion model and a projection world coordinate-video coordinate conversion model, the position where a touch operation is to be executed is determined in a touch operation image, and then the touch operation application program is controlled to execute a corresponding touch operation task. The process is similar to that the touch operation is achieved in the projection image area of the image output by the projector, so that the effect of directly controlling the touch operation application program in the projection image is achieved, the high efficiency and accuracy of touch positioning control processing executed by the computer are guaranteed, the problem that man-machine interaction is limited by the size of a screen of electronic equipment in the prior art is solved, and technical guarantees are provided for controlling the touch operation application program in a projection plane.

This invention provides a rapid geological coordinates project conversion method applied in the guide system, which comprises GPS signal receiving module, guide soft and hard wares system, electrical map, position information process and error correction module though which can rapidly match the position information of the moving object into the displays of the guide system. Comparing with the old conversion method, this invention lowers the guide data collection cost and has a good compatibility and can convert the moving object position information into various forms of the electrical maps.

The invention discloses a depth-auto-encoder-based human eye detection and positioning method. The method comprises: for all images with calibrated human eye rectangular frame positions in a training set, binary label graphs are generated by using the calibrated human eye rectangular frame positions; small image blocks are selected randomly from the images in the training set and a plurality of auto-encoders are training with supervision in a layered mode to construct a depth auto-encoder, and the depth auto-encoder is initialized based on weights of all layers of the auto-encoder; small original image blocks and small label image blocks are selected randomly at same positions of the original images and the label graphs, wherein the small label image blocks are used as supervision information and the small original image blocks are used as inputs to optimize the depth auto-encoder; and a plurality of small to-be-measured image blocks are generated at a to-be-measured image in a window sliding mode, small to-be-measured label image blocks of all small to-be-measured image blocks are obtained by using the depth auto-encoder and are combined to obtain a to-be-measured label graph of the to-be-measured image, and binaryzation is carried out on the to-be-measured label graph and a position of a human eye is obtained based on coordinate projection or contour searching.

The invention discloses a method for automatically adjusting the image projected by a projector. The method comprises the following steps: setting a recognizable imaging mark on a screen; extracting a preset front sight image through a menu; photographing images of the screen by a camera to recognize the positions of the mark and the preset front sight on the screen; determining whether the projected images of the mark and the preset front sight are superposed; calculating the relative coordinates of the preset front sight projected image and the mark; and adjusting the position of the projector. The invention also discloses a device for realizing the above adjustment method. The device comprises a projection module, the screen, the preset front sight, the camera, an image recognition processing module and a projector position adjusting module, wherein the camera is located on the projection module and is sequentially connected with the image recognition processing module and the projector position adjusting module. The method and the device can achieve full-automatic adjustment of trapeziform distortion of the images projected by the projector so as to save the fine adjustment time of users.

The invention relates to a radar data analyzing method based on the figures, belonging to the computer application field of radar data process and transmission in the automatic system of air traffic control, the steps are as follows: (1) reading the radar parameter table from the parameter files, reading the map data from different layer files; (2) selecting a radar to be analyzed; (3) setting the central point coordinate of the selected radar as a central point, calculating by the coordinate projection on the map data, obtaining the coordinate value XY that the map is relative to the central point, calculating the screen coordinate according to the current display scale and displaying on the map according to the customer selected layer; (4) selecting radar history data for analysis; (5) reading the radar data file and analyzing according to the radar transmission protocol applied by the selected radar; (6) obtaining: first, a static display for radar data, second, a dynamic playback for radar data, third, text file output, as well as radar data analysis, map display of air traffic control, and the static display for radar data, namely target filtering display, radar position and magnetic deviation.

The invention provides a three-dimensional coordinate transformation method and device based on coordinate projection. The method comprises the following steps: establishing a track-detection car coordinate system and a geodetic coordinate system; acquiring relative position relationship between the track-detection car coordinate system and the geodetic coordinate system by measurement; selecting reference points and directly measuring out initial coordinate values of the reference points in the track-detection car coordinate system and final coordinate values of the reference points in the geodetic coordinate system; according to the relative position relationship and the initial coordinate values and the final coordinate values of the reference points, solving a corresponding relation formula which adopts coordinate projection, coordinate rotation and coordinate translation for the initial coordinate value of any point in the track-detection car coordinate system to obtain the finial coordinate value; and measuring initial coordinate values of track-detection target points in the track-detection car coordinate system, and substituting into the corresponding relation formula obtained in the former step to acquire finial coordinate values of the track-detection target points in the geodetic coordinate system. The three-dimensional coordinate transformation method and device provided by the invention have the advantages that by dimension-reducing processing, the operation process is simplified and the computational accuracy is increased.

The invention discloses a system and a method for positioning an address for reporting a rural event and to the technical field of address positioning. The address positioning system comprises a rural event receiving module (1) and an event address matching module (2). The rural event receiving module is used for receiving position information data and event description information data of the rural event. The event address matching module (2) is used for judging and classifying the position information data, respectively processing the classified position information data to determine a geographic coordinate of the rural event and converting a geographic coordinate projection into a map projection coordinate. The invention provides the system applicable to positioning the address for reporting or informing the rural event. The rural event can be positioned precisely by classifying and processing various position information data through the arranged event address matching module. Thedefect of a single GPS (Global Position System) which cannot be applicable to positioning the rural event is overcome.

A method for measuring bridge structure dynamic displacement and vibration frequency is provided. The method includes the following steps of: (1) establishing a bridge structure vibration field monitoring system so as to synchronously acquire vibration displacement and global navigation satellite system (GNSS) time; (2) performing coordinate system projection conversion which comprises the steps of calculating projection parameters between a local coordinate system and a bridge independent coordinate system and transforming measured structure vibration coordinate projection into the bridge independent coordinate system; (3) filtering bridge structure vibration displacement gross errors; (4) re-sampling vibration displacement through using a linear interpolation method; (5) separating quasi-static parts from dynamic parts in displacement by using a Chebyshev filter; and (6) analyzing vibration signal frequency spectrums through using a fast Fourier method. The method of the invention has the advantages of non-contact property, high precision, high reliability, high automation and the like.

The invention provides a people counting method based on video image processing. The people counting method comprises the following steps of: 1, acquiring a video stream image of a monitoring region; 2, acquiring pedestrian targets through a frame difference method, and performing math mathematical morphology operation processing on a frame difference result to obtain a pedestrian moving region; 3, partitioning the pedestrian moving region at least one time by a coordinate projection partitioning method to obtain a plurality of sub regions; 4, searching and matching the sub regions of adjacent frames according to central point distances of the sub regions and gray information distribution features; and 5, instantly updating central point position information of the sub regions, storing the information into a storage device to obtain a people counting result by calculating trace information of central points of the sub regions in the monitoring region. By the method, the efficiency and the accuracy for counting people in a public region can be effectively improved in real time.

The invention relates to a surface normal component graph neural network representation-based three-dimensional face recognition method. The method includes the following steps that: a given three-dimensional face surface is preprocessed; the three-dimensional coordinates of the pre-processed three-dimensional face surface are projected onto a two-dimensional plane, projected coordinate information is utilized to estimate the normal vectors of each point, so that normal component graphs in an X, Y, and Z direction are generated; a deep convolutional neural network trained in 2D face recognition is utilized to extract the features of each normal component graph of the three-dimensional face; and the depth features of each normal component graph are extracted under a nerve cell position-sensitive matching mode, and a nearest neighbor classifier or a sparse representation classifier is used to achieve the comparison of the three-dimensional face. The three-dimensional face recognition technology of the present invention has the advantages of simplicity, easiness in implementation, high robustness to expressions, high recognition accuracy and the like.

The invention provides a radar netting target state and system error joint estimation algorithm. The algorithm comprises the following steps: according to an airborne radar measurement principle, in combination of a geographical position and an attitude angle of an airborne platform, a measurement mathematical model for each airborne radar with system errors, measurement noise and the target state included is constructed; according to the target motion state, in joint of the system errors of each airborne radar, a target motion state mathematical model after dimension expansion with process noise included at each moment is constructed; and according to the constructed mathematical models in the former two steps, initial values of the measurement noise, the process noise, the target motion state after dimension expansion and an estimation error covariance matrix are set, a CKF filter method is applied, and real-time and synchronous estimation on the target motion state and the system errors of each airborne radar is realized. Problems that data deformation exists in the traditional coordinate projection-based two-dimensional planar system error registration algorithm, errors of a pitch system can not be estimated and the traditional method is not suitable for long-distance system error registration can be solved.

The invention provides a positioning equipment track optimizing and boundary extracting method and a device thereof. The method comprises the steps of outputting an original track sequence to positioning equipment for performing track coordinate projection converting processing, thereby obtaining coordinates in a plane coordinate system; performing filtering processing on the converted track sequence; performing track sequence downsampling processing, and eliminating redundant track points; performing dense area adaptive detecting, and automatically identifying a track point dense area; if existence of a dense area is found, performing dense area frame extracting processing, and acquiring an accurate track trend of the dense area through dense area frame extracting process; otherwise, performing abnormal point detecting processing; if existence of the normal point is found, performing position re-correction processing; otherwise, performing track tail detecting processing; if a tail phenomenon of the track exists, performing track tail processing; otherwise, performing track end-to-end closing, constructing a polygon and generating an area boundary; and performing projection inverse conversion, and converting the plane coordinates to geographic coordinates.

A calibration method for merging object coordinates and a calibration board device using the same are provided. The calibration board device has a plurality of characteristic points and a central reflection element. A center of the central reflection element has a central characteristic point. A distance sensor emits a distance sensing signal to the central reflection element, so as to obtain a central real coordinate. Intrinsic and extrinsic parameters of a camera is used to establish a transformation equation which transforms the central real coordinate into a central image coordinate. Finally, a calibration image of the calibration board device is retrieved, and the central characteristic point is searched, and the central image coordinate is projected on the calibration image whereby the central image coordinate is calibrated to aim at the central characteristic point on the calibration image, thereby generating extrinsic and intrinsic parameter parameters calibrated.

The invention discloses a machining method of a spatial angle small hole of an aviation component. The machining method adopts a five-axis high-speed electric spark machine tool for machining, adoptsa coordinate projection method for coordinate conversion of the spatial angle small hole size in the machining process, converts the coordinate conversion into a machining instruction that is operableon the five-axis high-speed electric spark machine tool, and finishes machining of the final size and angle. According to the machining method of a spatial angle small hole of an aviation component,coordinate projection and single-dimension coordinate conversion are achieved through a method for making plane and straight line related to the spatial angle small hole axis in a rectangular coordinate system, and the method calculates included angles or distances between planes or between a line and a plane or between lines; the calculation method is simple, and only rotation of a working turntable and translation in X and Y directions need to be matched in actual operation; complex calculation processes and machining processes are avoided; machining quality stability is obviously improved,and machining time is effectively shortened; and machining efficiency of the spatial angle small hole of the aviation component is improved.

The invention relates to the technical field of education and teaching, and provides a geometrical stereoscopic graph projection device and projection method. The projection method comprises the following steps that a two-dimensional plane graph is obtained; whether the two-dimensional plane graph is a geometrical stereoscopic graph or not is judged, if so, one point in a located interface of the two-dimensional plane graph is selected to be used as the original point of a two-dimensional coordinate system, and a boundary point coordinate of the two-dimensional plane graph is measured according to the original point of the two-dimensional coordinate system; the boundary point coordinate of the two-dimensional plane graph is subjected to coordinate transformation, and the three-dimensional coordinate of a boundary point is obtained; a three-dimensional stereoscopic graph is obtained according to the three-dimensional coordinate projection of the boundary point. The simple geometrical stereoscopic graph is subjected to graph analysis, processing and conversion, the stereoscopic graph with the three-dimensional effect is projected, the interactive competence of teaching is improved, the stereoscopic graph can finally help students to understand the three-dimensional stereoscopic graph, and the space imagining ability of students is improved.

The invention discloses a geographical coordinate projection transformation method. The method comprises the steps of extracting the coordinates of a vertex of a transformation area, calculating the coordinates of a homonymy point of the vertex under a target projected coordinate system, setting up a projection transformation linear system of equations, and calculating the coordinates of elements in the projection transformation area under the target projected coordinate system according to the projection transformation linear system of equations. Meridians and latitude lines in a small local area are represented through straight lines respectively, spherical surface calculation is converted to planar calculation, the calculating speed of geographical coordinate projection transformation can be increased, error control can be achieved by controlling the size of the local area, and the requirements of actual application can be met with little cost, wherein the actual application relates to mass data transformation, and the requirements for transformation precision and transformation speed are high.

A method for adjusting image acquisition parameters to optimize object extraction is disclosed, which is applied to an object characterized by forming a specific cluster in a color coordinate space after performing a coordinate projection, and thus the specific cluster contributes to a specific color model, such as a human skin color model. This method first locates a target object within a search window in a selected image. Then applies the specific color model to obtain the image acquisition parameter(s) according to the color distribution and features of the target object. Therefore, the image is transformed according to the adjusted image acquisition parameter(s). Consequently, a complete and clear target object can be extracted from the transformed image by applying the specific color model, and the follow-up images having the same image acquisition conditions with the aforesaid image can also be transformed according to the same image acquisition parameter(s).

The invention provides a statistical clustering-based road intersection position identification method in trajectory data. The statistical clustering-based road intersection position identification method comprises the steps: performing trajectory data coordinate projection conversion and trajectory data simplification processing; for the simplified trajectory data, adopting a multi-core parallelcomputing mode, identifying sampling points in a road intersection area according to the steering change of the sampling points, and forming a steering sampling point set; taking the steering samplingpoint set as input, carrying out automatic division clustering by utilizing a self-adaptive statistical clustering algorithm, and stripping road intersections at different positions; and finally, foreach steering sampling point cluster, calculating a central position and a radius of a minimum circumscribed circle covering the cluster through a minimum circumscribed circle fitting algorithm, andrepresenting the central position and the regional range of the road intersection by using the center and the radius of the minimum circumscribed circle.

The invention discloses a large-format leather image splicing method, comprising the following steps: 1) setting checkerboards at the four corners and the repetitive areas of two images; 2) performing Harris corner point detection successively; 3) fitting the corner points of the checkerboards in the repetitive areas; 4) selecting and matching the corresponding corner points; 5) carrying out matrix transformation on the characteristic points of the images and calculating the corresponding relationship; and 6) performing coordinate projection transformation with the result of obtaining a spliced image. The method of the invention is advantageous in processing effect and time efficiency.

The invention provides an unmanned aerial vehicle path (UAV) planning method and device. According to the method, a topological network is constructed by taking ground base stations as nodes, a three-dimensional coordinate system is established by interaction between an UAV and the topological network, and ground coordinates of all nodes in the coordinate system and a coordinate projection of a flight path of the UAV on the ground are known. The method comprises determining a ground node access sequence according to the coordinates of the ground nodes or the number of neighbor nodes of the ground nodes; and searching path points in an effective transmission area of the ground nodes through a convex optimization method, and connecting given starting and terminal points and all the path points found in the path point searching step according to the access sequence to obtain an optimal path. The method can solve the problem that time minimization and path change influence each other in the prior art, the path of the UAV is optimized, the total task time is reduced to the greatest extent, and data collection and distribution between the UAV and the ground nodes are more efficient.

The invention belongs to the field of graphic information processing, and provides a decimal lookup table generation method for video stitching. The decimal lookup table generation method for video stitching comprises the steps of coordinate projection, feature point detection and matching, filtering of erroneous matching points and construction of a decimal lookup table. According to the decimal lookup table generation method for video stitching, first, coordinate projection is conducted, wherein images to be stitched are projected to a standard coordinate system; then, feature point detection and matching is conducted, and the erroneous matching points are filtered; finally, the decimal lookup table is constructed and clipped according to the size of a stitched video, and a stitched video image is obtained by means of the decimal lookup table through bilinear interpolation. According to the decimal lookup table generation method for video stitching, a one-to-one mapping relation between shot images and stitching image coordinates can be obtained to meet the requirement for instantaneity of video stitching; meanwhile, the decimal lookup table is more natural than an integer lookup table in transition, and therefore an ideal visual effect can be achieved.

The invention relates to an infrared spectrum-based crude oil type identification method, which comprises: determining the mid-infrared spectrums and the near-infrared spectrums of various types of crude oil samples, carrying out second-order differential treatment, taking the polar coordinate projection scores of the absorbance of each crude oil sample at five spectrum areas such as W1 of 1650-1800 cm<-1>, W2 of 4000-4500 cm<-1>, W3 of 4500-5000 cm<-1>, W4 of 5000-5500 cm<-1> and W5 of 5500-6000 cm<-1> on the X-axis and Y-axis, establishing a crude oil spectrum identification database throughthe polar coordinate projection scores, determining the polar coordinate projection scores of the absorbance of crude oil to be identified at the five spectrum areas on the X-axis and Y-axis, calculating the distances between the identification vector of the crude oil to be identified and each crude oil sample vector, and comparing the minimum distance to a set threshold, wherein the corresponding crude oil and the crude oil to be identified are the same type of the crude oil if the minimum distance is less than the threshold, and if the minimum distance is not less than the set threshold, the same crude oil as the crude oil to be identified does not exist in the crude oil spectrum database. With the method of the present invention, the crude oil sample identification speed and the crudeoil sample identification accuracy can be effectively improved.

The invention discloses a three-dimensional model projecting method for imitating lens distortion. The method comprises steps as follows: projecting the three-dimensional model onto an image plane according to a pin-hole imaging model, and obtaining an image coordinates (u, v) under an image coordinate system; obtaining a transformation relation of the image coordinates and computing a normalized image coordinates (x, y) under a camera coordinate system corresponding to the image coordinates (u, v) according to the transformation relation; and computing the distorted normalized image coordinates according to the normalized image coordinates (x, y) and projecting the distorted normalized image coordinates to the image plane, and overlaying the three-dimensional model by the distorted image coordinates on a real two-dimension image after the three-dimension model is protected on the image coordinates. The invention matches the three-dimension model and a real scene, so as to realize a more real and natural false-real combination.

The invention discloses a generation system and method for a live-action map. The system comprises an acquisition module, a coordinate calculation module, a data conversion module, a range calculationmodule, a range correction module, a coordinate projection module and a photo overlapping module, wherein the acquisition module is used for obtaining an aerial photography photo and flight information; the coordinate calculation module is used for obtaining the photo length and the photo width of the aerial photography photo and the center point coordinates of the aerial photography photo; the data conversion module is used for obtaining ground length and ground width according to camera parameters, photographing height, photo length and photo width; the range calculation module is used forobtaining an initial ground range according to the center point coordinates, the ground length and the ground width; the range correction module is used for rotating the initial ground range to obtaina practical ground range under the orthographic projection of a camera; the coordinate projection module is used for determining the corresponding geographic data of the practical ground range in a flight map on the basis of the coordinate system of the flight map; and the photo overlapping module is used for overlapping the aerial photography photo to an area corresponding to the geographic datain the flight map. By use of the system, a live-action image and the map can be combined so as to bring convenience in data analysis.

A computer-implemented method of localizing an image of a person captured using a camera is provided, the person in the field of view of a camera, comprising: obtaining the image captured using a camera, the image comprising the person within a bounding box; determining at least one slant value associated with the person within the bounding box; determining head image coordinates and feet image coordinates for the person using the at least one slant value; and localizing the person by projecting the head image coordinates to a head plane and the feet image coordinates for the person to a ground plane.

The invention discloses a method for accurately calculating morphology change of a gully head and a gully wall of a gully with a washing hole. The method comprises the following steps of: firstly, importing the determined gully terrain grid data into GIS (Geographic Information System) software and setting a coordinate projection system; secondly, cutting the terrain data of the gully into three parts according to a water collecting area, a gully wall and a gully bed boundary; importing terrain data of the gully wall into a file which can execute data operation and respectively rotating spatial coordinates around a Z axis and an X axis according to the certain angle; secondarily importing the rotated gully wall data into the GIS software and extracting a boundary point position of the gully wall in a GIS software environment to generate a face file; then generating TIN (Triangulated Irregular Network) by using the rotated space point position and the boundary file; converting the TIN into a DEM (Digital Elevation Model) with proper size of grids; and subtracting the DEMs at different stages to finally obtain the terrain change processes of different stages. The method disclosed by the invention can be used for generating the DEM accurately and quickly, is simple in operation and does not need complex three-dimensional space conversion operation.

The invention relates to a method for predicting the properties of crude oil through infrared spectrum. The method comprises: collecting a group of crude oil samples with the number of at least 200; determining the property data of the crude oil samples by using a conventional method; determining the near infrared spectrums and the mid-infrared spectrums of the crude oil samples; taking the absorbance at five spectrum areas such as W1 of 1650-1800 cm<-1>, W2 of 4000-4500 cm<-1>, W3 of 4500-5000 cm<-1>, W4 of 5000-5500 cm<-1> and W5 of 5500-6000 cm<-1>, and calculating the polar coordinate projection scores; establishing a crude oil spectrum fitting database; calculating the polar coordinate projection score vectors of the absorbance of the crude oil samples to be determined at the characteristic spectrum area; fitting the polar coordinate projection score vectors and the spectrum polar coordinate projection score of the crude oil database sample to obtain a fitting degree; and predicting the crude oil sample to be determined through the properties of the database samples participating the fitting if the fitting degree is below a set threshold.