155results about How to "Processing small amount of data" patented technology

The invention belongs to crossing field of computer vision and intelligent robots and discloses a variational mechanism-based large-area indoor scene reconstruction method. The method comprises the following steps: step 1, acquiring calibration parameters of a camera, and building an aberration correcting model; step 2, building a camera position and gesture depiction and camera projection model; step 3, utilizing an SFM-based monocular SFM (Space Frequency Modulation) algorithm to realize camera position and gesture estimation; step 4, building a variational mechanism-based depth map estimation model, and performing solving on the model; and step 5, building a key frame selection mechanism to realize three-dimensional scene renewal. According to the invention, an RGB (Red Green Blue) camera is adopted to acquire environmental data, and a variational mechanism-based depth map generation method is proposed through utilizing a high-precision monocular positioning algorithm, so that quick large-area indoor three-dimensional scene reconstruction is realized, and problems of three-dimensional reconstruction algorithm cost and real-time performance are effectively solved.

The embodiment of the invention discloses a three-dimensional map rendering and display method. The method includes the following steps that: a model file corresponding to a current scene model is called according to map position information of a current view point; data in the model file are cached in the form of an octree structure; based on the combination of the octree structure and the frustum of the current view point, visibility judgment of level of detail (LoD) is performed on all nodes inside the current scene model through adopting a preset visibility judging algorithm, so that visible nodes and child nodes of the model file which enter the view field range of the frustum of the current view point can be marked; and a scene which enters the view field range of the frustum of the current view point can be rendered and displayed according to the marked visible nodes and child nodes. The invention also discloses a three-dimensional map rendering and display system. With the three-dimensional map rendering and display method and system of the invention adopted, rendering efficiency can be improved, and network traffic can be reduced, and large-scale point cloud data can be displayed for users through Web three-dimensional technologies.

The invention discloses a high-resolution display method and system. The method comprises the steps that a high-resolution display panel is divided into a plurality of sub-regions, wherein each sub-region corresponds to a unique partition number; human eye images of viewers are collected; first positions where human eye pupils are located are recognized; second positions, corresponding to the first positions, on the high-resolution display panel are determined; the area, needing to be finely processed, on the high-resolution display panel is determined according to the second positions and the human eye focus radius R, and the corresponding partition numbers are output to serve as area parameters; selective stretching processing is performed on input first resolution ratio image signals according to the area parameters, and second resolution ratio image signals with the high resolution ratio are obtained and are displayed through the high-resolution display panel. The invention further discloses the high-resolution display system. Compared with the overall stretching technique in an existing display system, the high-resolution display method and system can obviously lower the requirements for image data processing speed and hardware, and is low in cost of high-definition display.

The invention discloses a terahertz communication synchronization method, which belongs to the field of communication signal processing. According to the invention, a baseband signal inserted into a pilot frequency is upconverted to a terahertz band and transmitted to a wireless channel; after a wireless signal passes through a low noise amplifier, the first time of analog quadrature mixing is carried out to filter out high frequency components; after filtering is carried out again through a narrowband filter, downsampling, squared demodulating and fast Fourier transform are carried out in order; the maximum peak position is searched to find the corresponding frequency offset; the frequency offset is fed back to a local oscillator, so that the carrier frequency of a receiving end and the carrier frequency of a received signal are dynamically synchronized; the baseband signal with offset is acquired; the second time of analog quadrature mixing is carried out to filter out high frequencycomponents; sampling and fast Fourier transform are carried out; the signal peak is observed to acquire the estimated value of the frequency and the phase offset; and the frequency and phase of the sampling clock of a high-speed analog-to-digital converter are compensated to realize terahertz communication synchronization. According to the invention, the signal processing difficulty and hardwareoverhead can be reduced.

The invention discloses a pseudo-code auxiliary carrier synchronization implementation method for terahertz communication, and belongs to the field of communication signal processing. The method comprises the following steps: inputting a data baseband signal with a low-power spread spectrum code pseudo-random sequence pilot inserted into a digital to analog converter DAC by a sending end, and after analog mixing is carried out on analog signals output by the DAC and a terahertz carrier, sending the analog signals to a wireless channel by an antenna; using local two paths of orthogonal terahertz carriers to mix with the received signals to obtain I and Q two paths of baseband signals by a receiving end; using a narrowband low-pass filter to filter the I and Q two paths of signals after orthogonal mixing to extract a pilot part; calculating the pilot carrier frequency offset, that is the data signal carrier frequency offset in real time and accurately by capturing and tracking the pilotpart; and continuously modifying the frequency of the local terahertz carrier by using the frequency offset to complete the carrier synchronization. The pseudo-code auxiliary carrier synchronization implementation method for the terahertz communication provided by the invention can reduce the signal processing calculation amount, and reduce the complexity of the hardware circuit design and implementation.

The invention discloses a radar detection method based on multi-frame joint for moving target tracks. The radar detection method comprises the steps of: using echo data to obtain amplitude values at corresponding resolution cells; setting a primary constant false-alarm detection threshold to carry out filtering on the amplitude values and acquiring the filtered amplitude values; calculating value functions of the resolution cells and acquiring speed correlation track recursion accumulation value functions of the echo data of each frame of the value functions of the resolution cells; setting a secondary detection threshold, and acquiring the resolution cells where moving targets exceeding the secondary detection threshold are located; conducting backtracking processing on the data to obtain the resolution cells where the echo data of each frame of all moving target tracks are located; and acquiring all moving target tracks, and determining true moving target tracks from all the moving target tracks. The radar detection method based on multi-frame joint for moving target tracks introduces a correlation speed algorithm, and can realize detection and tracking of moving targets under low SNR.

A locating method for the container trucks in port region includes such steps as taking image, transmitting and acquiring image, scaling in H array, extracting front edge, calculating distance, and outputting and displaying data. Its locating system is composed of high-speed camera head, computer, and electric display screen in the driver cab of container truck.

An embodiment of the invention provides an obstacle dodging method, an obstacle dodging device, a carrier and an unmanned aerial vehicle. The obstacle dodging method comprises the steps of acquiring a depth map in a carrier motion direction; determining an interested area in the depth map, wherein the projection area of the carrier in the depth map is in the range of the interested area; acquiring a connecting line which is formed by pixel points that satisfy a preset condition in boundary pixel points in the interested area; and making the carrier move to the area which corresponds with the connecting line. According to the obstacle dodging method, processing on the depth map part is required, thereby reducing data processing amount, reducing operation complexity, reducing processing time and improving user experience.

The invention discloses a detection method for radar target tracks on basis of correlation speeds, and relates to the technical field of radars. The method includes the first step of using echo data to obtain amplitude values at corresponding resolution cells, the second step of setting a primary constant false-alarm detection threshold to carry out filtering on the echo data and obtaining the amplitude values after filtering is conducted, the third step of setting value functions of the resolution cells, the fourth step of calculating value functions of speed correlation track recursion accumulation of the accumulated echo data of each frame, the fifth step of setting a secondary detection threshold and obtaining the resolution cells where targets exceeding the threshold are located, the sixth step of conducting backtracking processing on the data to obtain the resolution cells where frames of all tracks are located, and the seventh step of determining true target tracks from all the tracks. A correlation speed algorithm is introduced, the processing data size is reduced, mistaken correlation of the target tracks is reduced, false tracks are reduced, and mechanical multi-target tracking under low an SNR is achieved.

The invention relates to a television set remote control method for separating a user interface. The method includes the following steps that an information coding module acquires user interface information from a television set and codes the user interface information; a first wireless communication module of the television set transmits the coded user interface information to a second wireless communication module of an intelligent terminal; an information decoding module of the intelligent terminal acquires the user interface information received by the second wireless communication module and decodes the user interface information; a user interface operating module of the intelligent terminal generates and displays the user interface by the utilization of the decoded user interface information; the user interface operating module carries out corresponding response and operation after receiving user operation; an instruction interpretation module of the television set interprets operation instructions received by the first wireless communication module, breaks the operation instructions up into one or a plurality of steps and instructs a core function module of the television set to execute the steps in sequence; the core function module of the television set executes the operation instructions in all the steps in sequence. A system using the television set remote control method for separating the user interface comprises the television set and the intelligent terminal, wherein the intelligent terminal is provided with a television set user interface generating program and can communicate with the television set wirelessly.

A glove controller comprises a glove, a hand gesture recognition device and a control system, wherein the glove comprises a sleeve body accommodating a palm and a hand back, and five finger sleeve bodies accommodating fingers; the hand gesture recognition device comprises a bend sensor and a six-axle attitude sensor; the control system is formed by a processor, a Bluetooth module and a power supply module supplying power for the processor and the hand gesture recognition device; a bend sensor is disposed in each finger sleeve body; the six-axle gesture sensor is arranged in the center of the palm part sleeve body; control lines of the bend sensors and the six-axle gesture sensor are connected to an I / O port of the control system and controlled by the processor; the Bluetooth module is arranged on the side surface of the palm part sleeve body and connected with the processor via a signal line; palm and finger movements can be directly detected by the glove controller; small data processing amount is achieved; zero reorganization error can be basically realized; the glove controller is free of limitations of spots and methods; and the glove controller is smartly designed, simply structured and has excellent performance.

The present invention provides a vehicle-mounted image processing device. In a vehicle-mounted system having a radar (2) and a camera (1) as an exterior monitoring unit, the camera (1) can be appropriately set according to the measurement result of the radar (2). ) in the image obtained by the image processing area (image processing area), and does not require a high-resolution radar. An image processing device (3) is provided, which determines the center position of the image processing area based on the measurement position of the object detected by the radar (2), and determines the center position of the image processing area based on the beam distribution of electromagnetic waves output from the radar (2). The size of the image processing area.

The invention provides a springback compensation method for creep age forming. The method comprises the following steps: Step S100, based on MSC.MARC commercial finite element software, constructing creep age forming finite element simulation; Step S200, weighting a springback iterative compensation process based on a molding surface of a finite element simulation result; and Step S300, considering a reverse compensation process of high temperature molding surface thermal expansion effect. The method considers the influence of the strength of a component on surface compensation, the influenceof a component feature structure on surface compensation, and reverse compensation of thermal expansion of a high temperature molding surface. A component formed by the model can still meet the engineering error requirement after being cooled.

The invention relates to an adjacent triangle method for calculating distance from a point to a curved surface, comprising the following steps of: A dispersing a curved surface to be processed to form triangular surface patches and marking serial numbers for the triangular surface patches; B setting a processing feeding direction, dispersing a cutter track into points and then positioning a cutter by using the cutter contacts of the cutter as positioning points; C dispersing the curved surface of the cutter into a plurality of curves, dispersing the curved surface of the cutter into a plurality of dispersing points and then listing the coordinate value relation of the dispersing points; D judging the serial number of a point A0 on the triangular surface patches; E converting the points of a coordinate system of the cutter to the points of a local coordinate system of a workpiece; F finding and arranging the sequence of the adjacent triangular surface patches by using an initial point as the center and then calculating the shortest distance between the dispersing points and the curved surface to be processed; and G dividing the adjacent triangular surface patches into two parts by using the initial point as a demarcation point, clockwise and counterclockwise calculating the shortest distances from the subsequent dispersing points Ai to the adjacent triangular surface patches, determining the adjacent triangular surface patches of the dispersing points Ai+1 according to the coordinate value relation of the dispersing points Ai (i is equal to 1, 2, 3,......) in the local coordinate system of the workpiece in the step D, and then repeating the step F until the calculation of a terminating point is finished.

The invention provides an image composition method and an electronic apparatus. The image composition method comprises the following steps that under N different focal lengths, N images of a first photographed surface of an object are respectively obtained, each image in the N images is corresponding to one focal length in the N different focal lengths respectively, and each image has S pixels; S pixels of which the positions differ from each other are determined in N * S pixels in the N images; P focal lengths corresponding to P images where the S pixels of which the positions differ from each other are located are obtained; based on the P focal lengths, S pieces of depth information of the S pixels of which the positions differ from each other are obtained; based on the S pieces of depth information, the depth image of the object at the first photographed surface is constructed; and the j-th pixel in the S pixels of which the positions differ from each other is obtained. The j-th pixel in the S pixels of which the positions differ from each other is obtained through the following steps that first feature information of the k-th pixel on each image in the N images is contrasted; and the j-th pixel of which the first feature information satisfies a preset condition is determined from N k-th pixels.

The invention discloses a method for shooting by rotating a viewing frame. The method comprises a step of acquiring a center coordinate of the viewing frame, a step of rotating a picture, a step of calculating a rotating angle beta, a step of calculating the polar coordinate system angles of four corners of the viewing frame which is rotated by the angle beta, a step of calculating the relative coordinates of a Descartes rectangular coordinate system of the four corners of the rotated viewing frame, a step of calculating the absolute coordinates of the four corners of the rotated viewing frame, a step of drawing a rectangular viewing frame, a step of calculating the minimum enclosing rectangle of the rotated viewing frame, a step of tailoring an image in the minimum enclosing rectangle for the first time, a step of rotating the image reversely by an angle of beta with the viewing frame as the center, and a step of tailoring the image for the second time with the center of the view frame as the center, with W as the width and with H as the height. According to the method, the viewing frame within a video area can be moved and rotated, the head or the body of a shooting target can be corrected in a dynamically tilting mode, and the purposes that the shooting area is accurately defined and the shooting process is accelerated are achieved.

The invention discloses a gymnastics auxiliary training method based on human body action skeleton information, which comprises the following steps: acquiring gymnastics action skeleton data made by professionals and learners by adopting an optical action capture system, storing the gymnastics action skeleton data in a sequence form, and establishing a reference database by taking the professionals' data as a reference sequence; and comparing the action skeleton information of the learner with the reference action skeleton information to obtain action similarity and wrong postures. According to the method, the action information of the human joint part can be quickly recognized; the gymnastic training feedback system can perform real-time action evaluation and gymnastic training feedback,can perform scientific and considerable evaluation on actions of gymnastic learners, discover action problems, find and correct wrong postures, optimize and improve action standards, obtain an improved direction, evaluate and guide the actions of the gymnastic learners, and improve the gymnastic learning effect of the learners. The method provided by the invention has a certain engineering application value.

The invention discloses a method for reconstructing vertical profiles of airborne multi-scan meteorological radar targets. The vertical profiles of the meteorological targets at the fronts of aircrafts can be displayed by the aid of meteorological echo information acquired by airborne multi-scan meteorological radar, and altitude-dimension intensity change and distribution ranges of reflectivity factors of meteorological target radar can be quickly, accurately and comprehensively reflected. Besides, at least eight layers of meteorological target information are acquired by the aid of the airborne meteorological radar in multi-scan work modes, and metrological target reflectivity factor change rule statistical models are innovatively built by means of statistics by the aid of metrology in information reconstruction procedures; the vertical profiles of the meteorological targets right ahead routes of the carrier aircrafts can be truly and completely represented by the aid of the multi-scan echo information. The method has the advantages of simplicity and convenience in operation. In addition, the quantities of processed data are low as compared with the traditional method, and the method has low requirements on systems and is high in reconstruction precision.

The invention discloses an evaluation method for searching and optimizing circumferential equal division hole position degree based on polar angle dichotomy, and the method comprises: processing original position information acquired by a measuring device, fitting to obtain the actual hole center position of a part, and calculating to determine the initial pole angle difference of each hole and the rotatable angle range on the premise that the position degree error requirement is met; searching and optimizing is performed through dichotomy, optimal position degree errors of all equal divisionholes meeting the principle of the minimum condition can be obtained rapidly and accurately without tangential reference selection under the condition of undetermined tangential offset directions of the circumferential equal division holes, meanwhile, the whole searching and optimizing process is small in processing data size, and the calculation efficiency is greatly improved.

The invention discloses a pantograph foreign matter detection method, a storage medium and computer equipment, and relates to the technical field of pantograph-catenary detection. According to the invention, the method includes: carrying out binarization processing on an input image; carrying out morphological processing on the image after binarization processing; carrying out denoising processingon the image after morphological processing; and extracting a contour from the denoised image, calculating contour parameters, performing multi-dimensional threshold screening on the contour parameters, performing gray parameter threshold screening on an original gray image of the contour, thereby eliminating a part of non-foreign-matter images, performing SVM classification processing, and finally identifying a pantograph foreign-matter image. The pantograph foreign matter detection method provided by the invention can adapt to the diversity of foreign matters and the complexity of an imagebackground, the foreign matter candidate boxes are determined through an image processing method before an SVM model is trained, then part of the candidate boxes are filtered out through morphologicalscreening and gray feature screening, the low omission ratio is guaranteed, and the SVM classification efficiency and precision are improved.

The invention discloses an airport surface maneuvering target identifying method based on a geomagnetic sensor network. The method comprises the steps that a plurality of AMR geomagnetic sensors are arranged on a runway centerline to obtain magnetic signals of an airport surface maneuvering target; a time domain method and a frequency domain method are sequentially utilized for extracting an X-axis target signal feature, a Y-axis target signal feature and a Z-axis target signal feature; the X-axis target signal feature, the Y-axis target signal feature and the Z-axis target signal feature are respectively identified to obtain a single-axis identifying result of a single sensor; first-level multi-sensor single-axis data fusion and second-level multi-sensor single-axis data fusion are successively carried out on the single-axis identifying result of the single sensor; a decision is made according to the second-level fusion result to obtain a final identifying result. The complete maneuvering target identifying method based on the geomagnetic sensor network is put forward for the first time and is applied to airport surface maneuvering target identifying; feature parameters are rich, the processed data volume is small, and reliability is high.

The invention discloses an automatic site selection method and device for large-scale emergency facilities and a computer readable storage medium. The method comprises the following steps: based on urban road network data of a to-be-planned area, calculating the shortest passing path among all road network nodes in the to-be-planned area; encoding the shortest path and a pre-constructed facility site selection model, wherein the facility site selection model indicates that emergency facilities set based on an emergency facility layout rule need to meet site selection conditions in the site selection process; and based on the coded shortest path, calculating the optimal solution of the facility site selection model by using a genetic algorithm to obtain the set total number and the set position information of the emergency facilities to be subjected to site selection in the to-be-planned area, and taking the set total number and the set position information as the site selection information of the emergency facilities for automatic output. On the premise that the setting number of the emergency facilities does not need to be determined in advance, site selection can be conducted onthe emergency facilities which need to balance the contradiction between the safety and economy of the facilities and are large in scale, and the layout of the urban emergency facilities is optimized.

The invention provides a construction method of a C-scan phase reversal image of an ultrasonic scanning microscope, which relates to the technical field of using the ultrasonic scanning microscope device for processing collected data. The construction method comprises the following steps: a. setting a related data gate for determining the detection region and the threshold voltage; b. scanning, transmitting ultrasonic waves, and carrying out position synchronous triggering for generating the ultrasonic waves; c. judging whether the positive peak voltage value and the negative peak voltage value of each point in the detected position of a measured target generate the phase reversal or not, and converting the peak results to the pixel gray-scale values of the constructed image; and d. outputting the corresponding gray-scale value of each point onto a screen for constructing the gray-scale image. The construction method has the beneficial effects that the constructed phase reversal imagecan detect the defects of lamination, air holes and the like in a device and overcome the disadvantages of high requirements of the prior art on the surface planeness and the placement of the measured target, inaccurate position of the constructed image, slow construction speed, inaccurate phase reversal judgment and the like.

The present invention belongs to the field of the computer image processing technology, and especially relates to an image edge detection method and system facing electric power facilities. The method comprises: obtaining image data of an electric power facility, obtaining an image to perform image preprocessing consisting of image graying, image enhancement, histogram equalization, median filtering and image segmentation through adoption a threshold segmentation improvement algorithm, and then performing edge detection through adoption of a dual-structured structure forest improvement algorithm; combining the threshold segmentation improvement algorithm and a traditional edge detection operator to rapidly and clearly detect the transmission line icing edge and neglect the texture condition in the transmission line; and employing structured learning input for picture information to ensure the reduced processing data volume and effectively distinguish whether the information in the picture is the edge information or not, so that the speed of image edge detection is enhanced, and more importantly, the accuracy of the edge detection algorithm is improved.

The invention discloses a banknote discrimination method and apparatus. The method includes acquiring the first image of the banknote to be discriminated in the visible light and the second image of the banknote to be discriminated in the infrared light; cutting the second image to obtain a target area corresponding to each of the anti-counterfeiting patterns according to the position of each anti-counterfeiting pattern of the banknote to be discriminated in the first image; and determining the authenticity of the banknote to be discriminated according to the target area and the setting rule. The banknote discrimination method and apparatus improve the accuracy and speed of banknote authenticity discrimination.

The invention discloses a robotized coal machine fault audio recognition and diagnosis method, which comprises the following steps: preprocessing collected coal mine equipment sound information to obtain preprocessed sound information with a plurality of short-time sound frames; obtaining a spectrogram containing a plurality of spectrogram frames and corresponding to the preprocessed sound information; and inputting the spectrogram into the trained hybrid neural network model, and outputting a fault diagnosis result, wherein the hybrid neural network model comprises an ALEXTet network model, an LSTM network model and a Softmax classification layer. According to the invention, the abnormal sound of coal mine equipment is recognized through a hybrid neural network model, wherein an ALEXTet network model simplifies a traditional CNN convolutional layer and reduces the algorithm complexity; and a LSTM network model is adopted to circularly collect the image sequence, learn and memorize the sequence correlation information, and the single image information and the sequence correlation information are combined to carry out discrimination, so that the accuracy and robustness of abnormal sound recognition of the underground coal mine equipment are improved.

The invention discloses a defect positioning-oriented code searching method. The method comprises the following steps of: firstly, constructing a source code file abstract syntax tree corresponding toa bug report in a software history library; secondly, extracting all code diff files related to bugs, defining continuous code modification lines in the code diff files as chunks, and establishing achunks relation graph of each code diff file; then, obtaining an importance score detree of each node in the chunk relation graph; then, the relation between the bug report and the chunk is established; Bug-is established by using a knowledge base establishing tool; A chunk knowledge base; then, for a new bug report, obtaining the new bug report and the new bug-, wherein the similarity sim of thebug report in the chunk knowledge base; and finally, generating a chunk list by combining the importance score detree and the similarity sim of the chunk to realize defect positioning. The processingobject takes the chunk as a unit, and is oriented to a continuous code block, so that the processing data volume is reduced, the chunk is a modified code line, the pertinence is better in the calculation process, and the pertinence and the accuracy of bug positioning are improved.