97 results about "Internal point" patented technology

The invention relates to an image splicing method based on improved image fusion. The method mainly settles technical problems of low real-time performance, splicing seam and ghost in prior art. The method comprises the steps of respectively performing characteristic point extraction on a target image and a reference image by means of an A-KAZE algorithm, and establishing a characteristic description subset; constructing a KD-tree, establishing a characteristic point data index, matching the characteristic point by means of a bidirectional KNN matching algorithm, obtaining an initial matching result, performing external point elimination and internal point reserving on the initial matching result through a RANSAC algorithm, and finishing image registering; and performing image fusion by means of an improved Laplace multi-resolution fusion algorithm based on a splicing seam, wherein the step comprises an optimal splicing seam by means of dynamic planning method, limiting a fusion range according to the optimal splicing seam, and finally performing fusion by means the Laplace multi-resolution fusion algorithm in a fusion range, thereby finishing image splicing. The image splicing method settles the problems in a relatively good manner and can be used in image splicing.

The present invention belongs to the computer graphics field, and concretely relates to a RGB-D and SLAM scene reconfiguration method based on the FAST and FREAK feature matching algorithm. The method comprises: performing calibration of the Kinect; performing FAST feature point extraction of a color image, employing the FREAK feature descriptors to perform image matching, employing the RANSAC algorithm of the feature points to reject the exterior points, and retaining the internal points. The RGB-D and SLAM scene reconfiguration method based on the FAST and FREAK feature matching algorithm screens the key frames and performs cloud point jointing of the key frames so as to greatly reduce the joint number of times of the cloud points. The RGB-D and SLAM scene reconfiguration method based on the FAST and FREAK feature matching algorithm employs the loop detection algorithm based on the graph optimization to construct a posture graph and perform global optimization so as to greatly reduce the error accumulation.

The invention relates to a pasting device for electronic devices in electronic industry. Pasting task is completed by robots. The pasting device consists of a robot A, a robot controller B, a fixed CCD (charged coupled device) camera C, an illuminator D, and a mobile CCD camera E. The pasting method comprises the steps that the robot detects feeding of a PCB (Printed Circuit Board), the mobile CCD cameras takes a picture to record a first MARK point position of the PCB, and the mobile CCD cameras takes a picture to record a second MARK point position, vision software calculates and regulates the target coordinates of the robot, the target coordinates of the robot are regulated along with position change of the PCB, the fixed CCD camera takes a picture to record the standard position of the irregular device, the vision software conducts correction and converts into the standard coordinates of the robot, the fixed CCD camera takes a picture to record the coordinates of the irregular device after being moved, positions of the internal points of the robot controller are regulated, the current coordinates and the standard coordinates of the device are compared, angles and translation are sequentially corrected, and the irregular device with the corrected coordinates is moved to the target coordinates of the PCB. In the method, the pasting machine is replaced with the robot, so that the investment is saved and the pasting efficiency is improved.

The objective of the present invention is to provide a method for approximating and displaying a three-dimensional object represented by CAD data. In particular, the present invention provides a method for approximating CAD data representing a three-dimensional object, comprising steps of: (a) generating a mesh with mesh lines for approximating each face of the three-dimensional object represented by the CAD data within a rough conversion tolerance with respect to a specified conversion tolerance; (b) approximating a boundary edge surrounding and defining each individual face with a plurality of curves within the specified conversion tolerance, approximating each of the curves with a polyline comprising points and connecting lines within the rough conversion tolerance to define boundary points which are the points of the polylines, and obtaining a vector tangential to the curve at each of the boundary points; (c) generating polygons with three or four vertices by connecting internal points which are points of intersection of the mesh lines inside the boundary edge, and by connecting the boundary points and the internal points that are adjacent to and inside the boundary edge; (d) calculating a vector normal to the face at each of the vertices of each of the polygons, storing information identifying the vertices and the corresponding normal vectors, and storing the tangential vector at each of the boundary points obtained at the step (b); (e) converting each of the polygons with three or four vertices to a triangular or quadrilateral surface by using a plurality of control points obtained by processing the information identifying the vertices, the normal vectors, and the tangential vectors; and (f) examining if each of the triangular or quadrilateral surfaces is close to the face represented by the CAD data within the specified conversion tolerance, and if not, regenerating a mesh with a narrower mesh width and more mesh lines on the face to repeat the steps (c)-(e) and (f). It is preferable that the polygons are triangles.

The invention discloses an automatic 3D building model reconstruction method based on aviation LiDAR data. The method comprises steps of: extracting a building roof point cloud from the aviation LiDAR data by using reverse iteration mathematic morphological filtering and a method based on point cloud density; extracting and optimizing roof surface patches according to a strategy of seed area selection-roof surface patch growth-surface path smoothing and optimization; constructing 2D regular grids to resample different roof layers to obtain the internal points and the edge points of the roof layers; optimizing the edge points of different roof layers; connecting the internal points and the edge points of the roof layers to construct a building roof surface and wall surface so as to finally achieve 3D model reconstruction of the building roof. It has been proved by practices that the method may reconstruct the 3D model of a building roof, provides a new idea for connection among different roof layers, and has high 3D model reconstruction precision.

The invention relates to a single-tree three-dimensional green quantity measuring method based on mobile two-dimensional laser scanning. The single-tree three-dimensional green quantity measuring method comprises scanning a single tree from several angles by means of a mobile two-dimensional laser scanning system, obtaining complete information of a tree crown, establishing a laser scan line parameter equation by means of information comprising a moving track linear equation and the moving speed, removing the part, of a space to be detected, which is penetrated by laser scan lines based on the principle that the volume of the tree crown is equal to that of the area where scan lines are invisible, reserving the part which is not penetrated by laser scan lines, obtaining a tree crown volume model, and therefore measuring the single-tree three-dimensional green quantity accurately. According to the invention, the single-tree three-dimensional green quantity is measured by means of mobile two-dimensional laser scanning, surface points and internal points of all crown layers are effective utilized, and the accuracy of the volume model is high. According to the invention, manual screening for rejecting the point cloud is not needed, and the computing speed is high.

A gravel pit earth volume measuring method based on digital image technology adopts a palm computer, a GPS receiver and a digital camera to realize the digital acquisition and recording of field information. During field measurement, the GPS receiver distributes control points and collects the three-dimensional coordinates of the control points; the software running on the palm computer receives GPS positioning results in real-time through the GNSS network and generates a GPSPoint point coverage and gravel pit boundary coverage; a proper control is selected to erect a marker post, two signboards are arranged on the marker post and used as the photo control points, the digital camera is adopted to take photos of the gravel pit and the marker post; when the field operation is over, the photos and the field acquisition data are uploaded to an interior work data processing system; according to the control point coverage, a single photo is utilized to resolve the photo information, and then the three-dimensional coordinates of the internal point of the gravel pit are obtained through three-dimensional relative calculation; a triangular network model of the gravel pit is constructed and is calculated to obtain the depth and earth volume of the gravel pit.

A method and apparatus using a graphics processing unit (GPU) are disclosed for three-dimensional (3D) imaging and continuously updating organ shape and internal points for guiding targets during motion. It is suitable for image-guided surgery or operations because the speed of guidance is achieved close to video rate. The system incorporates different methods of rigid and non-rigid registration using the parallelism of GPU processing that allows continuous updates in substantially real-time.

The invention provides a humidity and temperature monitoring-based method for detecting moisture of grains at internal points of a granary. The method comprises the following steps: building a relational model between the equilibrium moisture and the temperature and the humidity of the grains at the internal points of the granary, determining initial values of all parameters in a formula by adopting a static weighing method and multivariate statistics regression; building a database of parameters of different grain varieties after model parameter correction; acquiring the corresponding temperature and humidity values of the internal points of the grains based on a system for detecting the humidity and the temperature of the internal points of the granary; acquiring the corresponding temperature and relative humidity value of single point or multiple points inside the granary through data acquisition, and computing by directly calling the rapid moisture detection formula and formula parameter values corresponding to different grains by a system, and therefore, the moisture of the single point or the multiple points inside the granary can be rapidly detected.

The invention provides an automatic focusing method and an automatic focusing device. The automatic focusing device comprises a lens, a stepping motor, a calculating module and a control module. The automatic focusing method comprises the steps of determining a movement interval L of the stepping motor; acquiring an image P1 by the lens when the stepping motor is at a first end point between two end points of the L; acquiring an image P2 by the lens when the stepping motor is at a first internal point in the L; acquiring an image P3 by the lens when the stepping motor is at a second internal point in the L; calculating definition evaluation values M1, M2 and M3 of P1, P2 and P3 by the calculating module; when a fact that L is larger than a first threshold is determined by the control module, determining a new movement interval of the stepping motor according to M1, M2 and M3, and repeating the steps above; and when a fact that L is smaller than or equal with the first threshold is determined by the control module, determining the target position of the stepping motor according to the M1, M2 and M3. The automatic focusing method and the automatic focusing device can finish automatic focusing in higher speed.

An apparatus and method thereof adjust tonal characteristics of an image to a printer. The apparatus includes a storage unit storing a color correction scheme using a color gamma curve varying in accordance with variable values comprising locations of first and second internal points on the color gamma curve and a gamma coefficient, and a variable input unit receiving the variable values. The apparatus further includes a tone adjusting unit adjusting the tonal characteristics of the image by reflecting the variable values in the color correction scheme and generating bitmap data as a result of the adjustment of the tonal characteristics, and outputting the bitmap data to the printer.

The invention discloses a method for calculating a quenching medium heat exchange coefficient by combining a finite element method with an inverse heat conduction method, which relates to a method for calculating a quenching medium heat exchange coefficient. The method comprises the following steps of: using a probe body, testing by an experiment to obtain the cooling curve of an internal point of the body, establishing a finite element model of the probe body, simulating a temperature field, and verifying the one-dimensional property of a problem; establishing a one-dimensional heat conduction micro equation and a sensitive coefficient equation under a coordinate system, and solving the heat-flow density value of the surface of the body surface by using the inverse heat conduction method; and verifying the measured temperature of the internal point of the probe in comparison to a calculated value, namely the heat exchange coefficient of the quenching medium calculated according to the Newton heat exchange law, so that the solution accuracy is ensured. The method is used for calculating the heat exchange coefficient of quenching medium.

The invention discloses an ancient city wall three-dimensional crack detection method based on dense point cloud, and the method comprises the following steps: S01, scanning an ancient city wall, andobtaining wall surface point cloud data; S02, adopting polynomial surface fitting to research area surface point cloud, and removing crack internal points; S03, performing dimension reduction analysison the point cloud after the internal points are removed by utilizing a principal component analysis method; s04, calculating the maximum included angle between two adjacent points; s05, judging crack boundary points, and obtaining a suspected crack boundary point sequence; s06, performing secondary identification and judgment according to the suspected crack boundary points obtained in S05 to obtain final crack boundary points; s07, according to the crack boundary points, extracting geometric parameters such as the main direction, the width and the length of the cracks; s08, converting the geometric parameters of the cracks into a three-dimensional coordinate system; s09, performing storage. The ancient city wall three-dimensional crack detection method based on the dense point cloud ishigh in automation degree and detection precision, three-dimensional geometrical parameters of all cracks of the wall are effectively extracted, and crossing from traditional two-dimensional crack detection to three-dimensional detection is achieved.

The invention relates to a fold distortion QR code correcting method. The method comprises three parts of two-dimensional code corner point detection, linear deformation correction and fold correction. If one pair of sides of a two-dimensional code pattern are not distorted and the other pair of sides are distorted, linear deformation effect caused by shooting angle and the like is eliminated to acquire a first corrected image, and then a shortest curve external connection method is used to carry out fold distortion correction on the first corrected image to acquire a second corrected image. On the basis of the second corrected image, a QR code is decoded and recognized. The step of fold distortion correction comprises edge contour extraction, edge contour interference electricity removing, edge contour multi-function fitting, fitting function screening, internal point mapping function selection, mapping transformation correction and the like. According to the invention, the detectionspeed and the recognition rate are greatly improved, and the fold distortion two-dimensional code is corrected and recognized.

At least one exemplary embodiment is directed to a laser cutting method where a laser beam is condensed at internal points inside a substrate forming processing regions, and where the laser is swept along a cutting line, where the cutting line is associated with a recess on the substrate and where the recess can be formed contemporaneously with the formation of the processing regions.

At least one exemplary embodiment is directed to a laser cutting method where a laser beam is condensed at internal points inside a substrate forming processing regions, and where the laser is swept along a cutting line, where the cutting line is associated with a recess on the substrate and where the recess can be formed contemporaneously with the formation of the processing regions.

An apparatus and method thereof adjust tonal characteristics of an image to a printer. The apparatus includes a storage unit storing a color correction scheme using a color gamma curve varying in accordance with variable values comprising locations of first and second internal points on the color gamma curve and a gamma coefficient, and a variable input unit receiving the variable values. The apparatus further includes a tone adjusting unit adjusting the tonal characteristics of the image by reflecting the variable values in the color correction scheme and generating bitmap data as a result of the adjustment of the tonal characteristics, and outputting the bitmap data to the printer.

The invention relates to a power grid risk analysis method based on a node marginal electricity price, and belongs to the field of power grids. The method calculates the marginal electricity price andthe output of the generator based on the original dual-point internal point method optimal power flow model, and solves the single risk evaluation index under the high-risk N-3 fault operation statethrough the nonlinear programming method, and further calculates the joint entropy index. Comprehensive risk assessment of the grid. The method uses the power load data of a city for one month to scanthe high-risk N-3 line fault scenario, so that the risk assessment can consider most of the possible situations, and the result is closer to reality; the comprehensive risk index solved includes thedouble index. Combined weighted entropy, this indicator takes into account the combined influence of power flow distribution, load loss and congestion severity on grid risk level and self-organized criticality, which makes up for the lack of individual indicator analysis.

The invention relates to a fast self-calibration method for a fish-eye lens binocular camera. And internal parameters and external parameters of the fish-eye lens binocular camera are quickly calibrated by utilizing polar constraint provided by a common three-dimensional scene. Firstly, a fish-eye lens binocular camera synchronously shoots images of a common three-dimensional scene, and feature point extraction and matching are carried out. Secondly, focal lengths and radial distortion parameters of the two cameras and a basic matrix between the two cameras are solved at the same time by utilizing at least nine image matching point pairs, and an image matching inner point set is determined; and then a rotation translation relation between the coordinate systems of the two cameras is obtained through focal lengths of the cameras and basic matrix decomposition. And finally, the internal parameters and the external parameters of the binocular camera are optimized according to the image matching internal point set determined by the RANSAC. The fisheye lens binocular camera with serious radial distortion can be efficiently and accurately calibrated under the common three-dimensional scene condition, and the method is suitable for equipment with limited computing power such as a mobile phone and an unmanned aerial vehicle and has important research significance and wide application prospects.

The invention discloses a temperature protecting method of a low-voltage plug type bus duct and a joint thereof, comprising the following steps of: obtaining temperature values of points from an interior to an outer surface of the low-voltage plug type bus duct and the joint thereof by introducing a finite volume method, namely obtaining temperature fields from the interior to the outer surface of the low-voltage plug type bus duct and the joint thereof; by judging whether the maximum temperature value and the environmental temperature difference of the temperature value in the internal points exceed the internal exotherm stipulated by the Chinese standard, ensuring whether the low-voltage plug type bus duct and the joint thereof have faults; and ensuring whether the faults exist by judging whether the surface temperature and the environmental temperature difference exceed the external exotherm stipulated by the Chinese standard. The temperature protecting method overcomes the defect that the traditional bus duct can judge faults by only measuring surface temperature to replace internal temperature, increases possibility for detecting glitch circuits in the bus duct and improves the temperature protection precision of the bus duct.

The invention discloses a method for determining a temperature process curve of ultrahigh fly-ash content hydraulic massive concrete. The method comprises: using normal concrete and ultrahigh mixture concrete to perform an adiabatic temperature rise test, manufacturing an ultrahigh mixture concrete cubic large test block with side length of 1.2 m to carry out a temperature measuring test, combined with an internal point actual measured temperature record of a certain double-curvature arch dam which is established by using the normal concrete, providing an ultrahigh mixture concrete adiabatic temperature rise model, to improve temperature simulation calculation program, so as to simulate a temperature process curve of an ultrahigh mixture concrete dam which has no construction precedent. The method can be used for temperature-stress test evaluation and early-age crack resistance.

A lattice dividing unit determines lattice lines to divide parameters of all points of a picture at every division and supplies distortion correction parameters (distortion correction coordinates) on the lattice points to a distortion correction memory (not shown). A polynomial of degree n coefficient deriving unit expresses all distortion correction coordinates on each lattice line in the form of a function relative to positions on lattice lines and approximates the distortion correction coordinates by desired division polynomial of degree n. Further, a sample point deriving unit compresses distortion correction parameters based upon the division polynomial of degree n obtained from the polynomial of degree n coefficient deriving unit. In the derived division polynomial of degree n, internal points which result from dividing both ends of the division polynomial of degree n by n is supplied to the distortion correction memory as new distortion correction parameters (approximated distortion correction coordinates). Thus, a memory capacity of a required memory can be reduced in the image processing for correcting distortion of an image.

The invention discloses an optimization design method and system for a multi-user multicarrier sparse spread spectrum sequence, and the method comprises the steps: building a transmitting-receiving system model of a Gaussian multi-address access channel which takes the multi-user multicarrier sparse spread spectrum sequence as the design objective after the initialization of a Gaussian multi-address access transmitting end and related parameters, and calculating the single-user interaction information under the condition that the signal to noise is given; building an optimization model which maximizes the minimum single-user interaction information; setting the maximum number of iteration times, and obtaining a local optimal solution, corresponding to the optimization model which maximizes the minimum single-user interaction information, according to each randomly generated initial point through employing an internal point method till the maximum number of iteration times; selecting the solution with the optimal performances from the local optimal solutions generated at different initial points to approach to a global optimal solution, thereby obtaining the multi-user multicarrier sparse spread spectrum sequence with the given signal to noise ratio and the modulation mode. The method and system provided by the invention enable a coefficient spread spectrum sequence to be directly used for actual transmission.

A low-loss optical interconnect is disclosed and may include an optical interconnect system with narrow and wide waveguides joining optical devices. The system may also comprise mode converters and waveguide bends. The waveguides may be made of silicon. Other exemplary aspects of the invention may comprise a continuous optical bend, whose radius of curvature at its endpoints is infinity and at its internal points is finite. The bend may be made of silicon. The width of the bend may vary along the bend. The system may comprise narrow and wide waveguides and a continuous bend.

The invention discloses a mesh simplification method in three dimensional reconstruction based on plane fitting. The method comprises the steps: firstly carrying out the point and plane extraction andplane clustering of a point cloud, and obtaining a separated plane and a detail part point cloud; secondly carrying out the plane edge extraction, edge downsampling, plane internal point removing anddownsampling, plane edge and interior combination and triangularization and triangularization plane combination, and obtaining a triangularization splicing result of separation planes; thirdly carrying out the triangularization processing of the detail part point cloud, and obtaining a triangularization processing result of the details; finally combining the triangularization processing result ofthe details with the triangularization splicing result of the separation planes, and obtaining a mesh simplification result. The method can greatly reduce the storage space of point cloud mesh data,and facilitates the real-time transmission and processing of three-dimensional data in a better way. Moreover, no error is introduced to the point cloud measurement. Meanwhile, because of the reduction of the number of points and the number of planes, the method reduces the hardware and software requirements for the point cloud surface display, and can achieve the more fluent and quicker display.

A switching I / O node for connection in a multiprocessor computer system. An input / output node switch includes a bridge unit and a packet bus switch unit implemented on an integrated circuit chip. The bridge unit may receive a plurality of peripheral transactions from a peripheral bus and may transmit a plurality of upstream packet transactions corresponding to the plurality of peripheral transactions. The packet bus switch may receive the upstream packet transactions on an internal point-to-point packet bus link and may determine a destination of each of the upstream packet transactions. The packet bus switch may further route selected ones of the upstream packet transactions to a first processor interface coupled to a first point-to-point packet bus link and route others of the upstream packet transactions to a second processor interface coupled to a second point-to-point packet bus link in response to determining the destination each of the upstream packet transactions.

The invention discloses a text image segmentation method and device. The method includes the following steps that: a text image is acquired, and the text image is initially divided into a plurality ofimage blocks according to priori rules; internal points in each image block are determined, and blank pixels inside characters in each image block are eliminated through filling the internal points;the average connected domain value of each image block is calculated through a projection mode; connected domain expansion is performed on each image block according to the average connected domain value; and the edges of character areas are extracted from each image block, and each image block is divided according to the edges. With the text image segmentation method and device adopted, differenttext images or different types of text images can be segmented. The accuracy and universality of the method and device can achieve satisfactory levels.

A lattice dividing unit determines lattice lines to divide parameters of all points of a picture at every division and supplies distortion correction parameters (distortion correction coordinates) on the lattice points to a distortion correction memory. A polynomial of degree n coefficient deriving unit expresses all distortion correction coordinates on each lattice line in the form of a function relative to positions on lattice lines and approximates the distortion correction coordinates by desired division polynomial of degree n. Further, a sample point deriving unit compresses distortion correction parameters based upon the division polynomial of degree n obtained from the polynomial of degree n coefficient deriving unit. In the derived division polynomial of degree n, internal points which result from dividing both ends of the division polynomial of degree n by n is supplied to the distortion correction memory as new distortion correction parameters (approximated distortion correction coordinates). Thus, a memory capacity of a required memory can be reduced in the image processing for correcting distortion of an image.

The invention discloses a method for making an appliance by virtual gingival deformation treatment based on an SVM (support vector machine), and aims to improve wearing comfort of the appliance and reduce extrusion on gingival tissue. According to the technical scheme, a dental model grid is separated into a tooth model grid and a gingiva model grid, grid points at the connecting part of the grids are taken as control points, a tooth is moved to a target position according to the therapeutic schedule of a doctor, an SVM regression model is trained in each coordinate direction according to coordinates and offset of the control points at the upper part and fixed points at the lower part of the gingiva grid, internal points of the gingiva grid are moved in three directions according to model functions, the deformed grid is obtained, and the appliance is obtained by 3D printing on the basis of new tooth and gingiva grids. With the adoption of the method, the gingiva grid is smoother, the appliance made by the gingiva grid is more fitted to real gingiva of a patient, and the therapeutic effect can be realized rapidly.

The invention provides a charging and discharging optimization control method for an electric automobile group. The method comprises the following steps of acquiring next-day charging and dischargingtime period data of each automobile participating in charging and discharging; discretizing next-day time into a plurality of time slots and generating a time slot set according to the next-day charging and discharging time period data of all the automobiles; acquiring electric power flow data and sensitivity data of each time slot in the time slot set; calculating the charging and discharging power of each automobile in each time slot by means of an internal point approach according to the sensitivity data. By means of the charging and discharging optimization control method, voltage fluctuation is reduced, peak-to-valley differences of loads are reduced, the losses of a power distribution network are decreased, and economic benefits of users of the electric automobiles are increased.