141 results about "Projection method" patented technology

The invention belongs to the technical field of image processing and mode recognizing and relates to a fatigue driving detection method based on eye and mouth states. The method includes the steps of diver's video image acquisition, light compensation preprocessing, facial area detection, comprehensive fatigue judgment and fatigue alerting. The step of facial area detection includes eye detection and mouth detection; eye detection includes acquiring an eye area by means of a projection method, analyzing eye features, comparing the eye features to standard features, and performing k-means computation and eye fatigue judgment; mouth detection includes acquiring a mouth area by the mouth-map method, analyzing mouth features, comparing the mouth features to standard features, performing p-means computation and yawn judgement. According to the method, the eye feature parameter and the mouth feature parameter are combined for judgment; compared with the use of the single parameter, the method has higher rate and reliability of fatigue judgment; by the use of the method, traffic accidents caused by driver's fatigue driving can be greatly decreased; a new preventive measure is provided for ensuring life and property safety of drivers.

The invention discloses a projection method for an intelligent projection robot, and a robot employing the projection method. The method comprises the steps: firstly carrying out the row algorithm calculation of a region where a user needs to carry out projection according to a camera module, and determining an optimal projection position and an actual projection image; calculating the proper movement distances of the robot and the projection module according to the position of the actual projection image in imaging, carrying out the analysis and calculation of the contrast ratio of the image, feeding results back to the projection for automatic focusing, and carrying out automatic brightness adjustment through the brightness of current ambient light. The robot comprises a projection module, a camera module, a distance measurement module, a light sensing module, a control module, and a movement module. The method can automatically determine the optimal projection position, can carry out automatic focusing, can automatically carry out brightness adjustment, and brings excellent user experience.

A method (and computer system in which at least one software component thereof is restarted based on projection of resource exhaustion), for selecting the most suitable projection method from among a class of projection methods, includes providing M fitting modules which take measured symptom data associated with the system as input and produce M scores, wherein M is an integer, selecting the fitting module producing the best score, and from the selected module, producing a prediction of the resource exhaustion time.

The invention provides a DSPP (Discriminant Sparsity Preserving Projections) method for unconstrained face recognition. The method comprises the following steps of: (1) when calculating a sample reconstructing relation matrix W, increasing weight coefficients of similar non-neighboring samples by using category labels and intra-class compactness constraints; (2) when calculating a low-dimensionalmapping matrix P, adding a global constraint factor to further reduce the influence of dissimilar false-neighboring samples on a projection matrix to ensure that a low-dimensional manifold essential structure hidden in complex redundant data can be more accurately mined; and (3) realizing low-dimensional linear mapping of high-dimensional sample data. The method provided by the invention has the beneficial effects that for unconstrained face images obtained in the real environment, redundant information in high-dimensional data the DSPP can more accurately eliminated, essential features are extracted and the representation ability is enhanced; and in the meantime, the data dimension is also reduced, the storage space is saved and the reliability and the effectiveness of the face recognition are greatly increased.

A macroscopic physical model simulates and analyzes ink ejection from a piezoelectric print head. The model handles the slipping contact line problem and introduces a mass-conservative finite difference implementation using the level set method. First, the critical angle approach is adopted. The triple point is allowed to move if the critical angle is exceeded. Second, the no-slip boundary condition in the neighborhood of the triple point is relaxed and substituted by the free-slip boundary condition. Third, to allow the triple point to quickly accelerate when the critical angle is exceeded, an extra surface tension is added as a body force term in the governing equation. Fourth, the level set method is adopted to implement the slipping contact line model. Finally the above idea is incorporated in a fluid solver based on the higher-order projection method.

The invention discloses a carbon fiber composite rivet hole size detection system and method, and the system and method are characterized in that a line laser is employed to scan the depth informationof a rivet hole contour, a depth convolution neural network algorithm and a projection method are utilized to obtain the images of a single rivet hole and a cylindrical hole, and the complexity of edge extraction is simplified; the diameter sizes of the cylindrical hole and a conical surface large hole are accurately extracted by using a partitioning thought and adopting a Canny algorithm and a sub-pixel edge extraction algorithm; fitting parameters of conical surface point cloud data are solved through a two-step method, conical surface angle information of the rivet hole is achieved, and the accuracy of a conical angle is guaranteed; a three-dimensional display technology is used for displaying a rivet hole scanning three-dimensional image, and the visual observation of size informationis facilitated. The method provided by the invention has the advantages of high scanning speed, low edge detection difficulty, high size detection precision and the like.

The invention provides a screen projection method and computing equipment. The method comprises the following steps: detecting a touch object suspended on the screen of first electronic equipment through the first electronic equipment; judging whether the touch object meets a response condition, wherein the response condition comprises that the distance between the touch object and the screen of the first electronic equipment meets the distance condition; determining the position of the touch object on the screen of the first electronic equipment; responding to determining that the touch object meets a response condition, projecting the information of the position and the content to be projected onto the second electronic equipment for triggering the second electronic equipment to displaythe to-be-projected screen content and indicating the projection point of the position mentioned above. Therefore, when a user looks up at the second electronic equipment, the user can determine the position of the touch object on the screen of the first electronic equipment through the projection point on the second electronic equipment. and at the moment, if a user needs to operate the screen projection content, the user can accurately operate on the first electronic equipment based on the position without lowering the head to check the screen of the first electronic equipment, so that the use is convenient, and the user experience is improved.

The invention discloses a target vulnerability analysis method, which comprises the following steps: analyzing the function and structure of the determined research target, establishing a three-dimensional digital model of the target, and providing a target structure tree; Based on the target analysis and structure tree, the damage grade is proposed, the vulnerable / non-vulnerable parts are identified, and the corresponding damage tree is established. According to the shape and structure characteristics of the target, the typical strike direction of the damage element to the target is judged, the appearance surface is determined, and the equivalent model of the target is established by the projection method. Through theoretical analysis and numerical simulation to obtain the damage data ofcomponents, combined with the damage element information, the vulnerability of the target under the condition of the damage element is obtained. The target vulnerability analysis method provided by the invention can obtain higher calculation efficiency under the condition of guaranteeing the target vulnerability calculation accuracy, and is suitable for the vulnerability analysis of the kinetic energy type damage element to vehicles, missiles, airplanes and other targets.

A coupled level set projection method is incorporated into a finite-difference-based ink-jet simulation method to make the simulation easier and faster to run and to decrease the memory requirements. The coupled level set projection method is based on a central difference discretization on uniform rectangular grids. A constructed numerical projection operator, in the form of either a finite difference projection operator or a finite element projection operator, can be used in the central difference scheme, in which case the resulting linear systems can be solved by a multi-grid method. The finite difference projection operator is used when the fluid velocity is located at grid points and the pressure at cell centers, whereas the finite element projection operator is used when the fluid velocity is located at cell centers and the pressure at grid points.

The invention discloses a novel laser scanning projection method. The method comprises the following steps: automatically calculating and calibrating a coordinate conversion relationship between a double-axis scanning galvanometer coordinate system and a projected target object coordinate system; converting a relation according to the derived coordinate system; calculating the rotation angle of the circle center of each back reflection cooperation target relative to a biaxial scanning galvanometer coordinate system; automatically controlling the light beam to complete optical scanning of eachback reflection cooperative target via the biaxial scanning galvanometer module; according to the position and attitude information of the projected target object, re-calculating the coordinate transformation relationship; realizing real-time automatic detection of the position and posture of the projected target object via real-time correction of the position deviation of the projection graph isrealized;; reading the CAD mathematical model of the to-be-projected part via the upper computer controller and driving the double-axis scanning galvanometer module to rotate circularly through the data acquisition processing and control module, and forming a contour line frame graph of the to-be-assembled part on the projected target object.

The invention provides a target positioning method and device, electronic equipment and a storage medium, and the method comprises the steps: calculating a disparity map based on a left view and a right view, which are captured by a binocular camera and contain a to-be-positioned target; inputting the left view into the trained deep learning network, and outputting a target mask in the left view;and based on the disparity map and the target mask in the left view, calculating three-dimensional space coordinates of the to-be-positioned target by using a three-dimensional reconstruction projection method. According to the invention, binocular stereo vision and deep learning are combined; the binocular camera is utilized to calculate position deviation between corresponding points of the leftview and the right view according to a triangulation principle; specific target recognition processing is carried out on the image by using a deep learning method, real-time positioning is carried out on a scene target in combination with three-dimensional reconstruction information on the basis of target recognition, a target positioning process is simplified, primary and secondary targets do not be distinguished, and all target positions in a view field are calculated at the same time; deep learning may expand the range of target positioning applications for specific targets and ordinary targets.

The invention provides a projection device and a projection method. The projection device comprises a sensing unit, a processing unit and a projection unit, wherein the sensing unit is used for sensing and recording feature data of a projection area; the processing unit is used for receiving the feature data, partitioning the projection area into a plurality of sub-projection areas according to the feature data, and rearranging the projection content according to the plurality of sub-projection areas and the feature data to form new projection content; and the projection unit is used for projecting the new projection content to the plurality of sub-projection areas. Through adoption of the projection device and the projection method, the problem of poor projection display effect due to abnormality of the projection area is solved.

The invention discloses a reflection device, a projection system, and a projection method of the projection system. The reflection device comprises a mounting bracket; a control panel arranged on the mounting bracket; an executive component arranged on the mounting bracket and connected with the control panel; and a reflection component connected with the executive component; the executive component comprises an X direction executive module and a Y direction executive module, wherein the X direction executive module and the Y direction executive module are both composed of a motor group and an articulated connecting rod; and the projection system further comprises a projector and a control computer. When the system is running, the control computer controls the action of the executive component through the control panel, and then adjusts an included angle between the reflection device and a projector lens, so as to change the reflection direction; and the reflection device reflects the contents played by the projector to different reflecting surfaces. The reflection device, the projection system, and the projection method of the projection system provided by the invention have the advantages of being strong in practicability, good in compatibility and wide in application prospect.

A projection system includes a projector, a depth sensor, an inertia measurement unit and a processor. The depth sensor and the inertia measurement unit are fixed at the projector. A projection method includes the inertia measurement unit performing a 3-axis acceleration measurement to generate an orientation of the projector, the depth sensor detecting a plurality of coordinates of a plurality of points on a projection surface, the processor performing a keystone correction according to at least the plurality of coordinates of the plurality of points on the projection surface to generate a calibrated projection region, the processor generating a set of data according to at least the orientation of the projector, the calibrated projection region and the plurality of coordinates, and the projector projecting a pre-warped image onto the projection surface according to the set of data.

The invention relates to a proportional affine projection algorithm based on a minimum error entropy. The invention discloses a novel algorithm MEE-MPAPA-Newton which is based on a Newton method framework and introduces an affine projection method into a PMEE algorithm. Such novel algorithm can better solve a problem of sparse system identification in non-Gaussian noise when a strongly correlatedsignal is input. The method, on the basis of a proportionality coefficient, a minimum error entropy criterion and a Newton method, discloses an affine projection adaptive filtering algorithm for solving the problem of sparse system identification in a non-Gaussian noise environment when the strongly correlated signal is input.

The invention discloses a projection method for a generator node voltage during an electric power system transient stability simulation process. Compared with the prior art, the generator node voltage at a next integral step time can be more accurately projected through the time generator node voltage and the correlative state variable. The basic concept adopted by the invention is that when the generator node voltage is required to be projected, the whole electric power system is separately regarded as an electric generating set and an external system represented by equivalent admittance which are connected; the system equivalent admittance outside each generator is approximately regarded as to maintain invariability in an integral step; and a time state variable estimation value is projected through an explicit integral, and the predominant value of each generator node voltage can be obtained according to an approximate system equivalent impedance corresponding to each generator andthe state variable projection value. The generator node voltage projected by the method provided by the invention serves as the initial estimation value of each integral step simulation, and the iteration frequency during the solution process can be remarkably reduced.

The present invention provides an automatic monitoring system based on three-dimensional scene modeling. The automatic monitoring system based on three-dimensional scene modeling is characterized by comprising a monitoring module, a three-dimensional scene module, a matching module and a management module. The monitoring module is used to acquire and store the video information and the position information corresponding to each camera, the three-dimensional scene module is used to carry out the three-dimensional modeling on a monitoring area to construct a three-dimensional map scene, and the matching module is used to project a video to the three-dimensional map scene by a projection method to carry out the matching alignment, and automatically prompt to the management module after discovering an abnormal phenomena. The system of the present invention can prompt and alarm automatically when discovering the abnormal phenomena, and can generate a three dimensional panorama monitoring picture of the large-range monitoring area.

A coupled level set projection method is incorporated into a finite-difference-based ink-jet simulation method to make the simulation easier and faster to run and to decrease the memory requirements. The coupled level set projection method is based on a central difference discretization on uniform rectangular grids. A constructed numerical projection operator, in the form of either a finite difference projection operator or a finite element projection operator, can be used in the central difference scheme, in which case the resulting linear systems can be solved by a multi-grid method. The finite difference projection operator is used when the fluid velocity is located at grid points and the pressure at cell centers, whereas the finite element projection operator is used when the fluid velocity is located at cell centers and the pressure at grid points.

The embodiment of the invention relates to the technical field of digital projection display, in particular to an automatic focusing projection method and system. The embodiment of the invention provides an automatic focusing projection method, which is used for an automatic focusing projection system; the automatic focusing projection system comprises a distance measuring unit, a projection unit and a reflection unit. The automatic focusing projection method comprises the following steps: acquiring a depth image of the distance measuring unit, obtaining a vertical projection distance from the distance measuring unit to a projection plane according to the depth image; obtaining position information of a central point of a projection picture in the depth image according to the elevation angle of the reflection unit and the vertical projection distance; obtaining a projection distance between the projection unit and the projection picture according to the position information; and focusing the projection unit according to the projection distance. By means the method, real-time automatic focusing can be realized in the reflective dynamic projection system.

The invention discloses a positioning method based on MR data. The method comprises the following steps: carrying out the data cleaning of the MR data, and carrying out the classification of the cleaned data according to LAC and CI; projecting the longitude and latitude of the classified data into a rectangular coordinate system through a UTM projection method to obtain original data; calculatingthe circle center of the minimum circumscribed circle of the original data in each LAC and CI through a minimum circle coverage algorithm to obtain preprocessed data; calculating the circle center ofthe minimum circumscribed circle of the preprocessed data through a minimum circle coverage algorithm to obtain a final circle center; and taking the final circle center as the coordinate of the basestation, and obtaining the longitude and latitude of the base station through UTM back projection. Compared with a traditional method of directly applying a longitude and latitude distance calculationformula, the UTM projection method is higher in precision and more convenient for calculation. Besides, a minimum circle coverage algorithm is adopted, the minimum circle coverage algorithm is not easily influenced by data offset, and the central point is more accurately searched.

The invention discloses a screen projection method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence such as NLP. The specific implementation scheme is as follows: in response to a conference screen projection request of a user, determining at least one candidate conference reservation notification meeting a preset condition in current conference reservation notifications of the user; obtaining and displaying conference prompt information corresponding to each candidate conference reservation notification; obtaining a first screen projection code corresponding to the conference prompt information; and if a screen projection instruction of the user for target conference prompt information in the at least one piece of conference prompt information is detected, performing screen projection connection processing with a screen projection device according to a first screen projection code of the target conference prompt information. Therefore, a user is prevented from manually obtaining and manually inputting the screen projection code, and the screen projection access efficiency is improved.

The invention provides a public place image real-time projection method and system. The method comprises the steps: carrying out the analysis and processing of a photographed public place environment image, determining the personnel existence state information and projectable region range information of a public place, and correspondingly obtaining a projection position and a projection area corresponding to image projection; and finally, adjusting the projection resolution and / or projection contrast of the current image projection in combination with the projection position and the personnel existence state information, so that image viewers in different areas can view clear projection images without obvious aberration deformation. Therefore, the automation degree and the intelligence degree of image projection in public places are effectively improved.

The invention discloses a multi-level optimized grid curved surface discrete spline curve design method. According to the method, the constraint that a curve is strictly located on a curved surface isrelaxed, only discrete sampling points of the curve are located on a grid curved surface, the thought of an interior point method is adopted, and numerical solution is conducted through a global optimization method based on a block coordinate descent method. In order to more accurately estimate a discrete differential operator, improve the solving precision, reduce the calculated amount of movingsampling points and improve the solving efficiency, a coarse-to-fine multi-scale hierarchical solving strategy is adopted, that is, the density of curve sampling points is gradually increased for iterative solving until the algorithm converges. And finally, mapping the curve segments to the grid curved surface by means of local parameterization. A convergence analysis experiment shows that the multi-level optimization method can achieve rapid convergence, and a smoother result is obtained under a multi-scale strategy. Compared with an existing projection method and an existing fairing method,the method is higher in efficiency and has certain advantages in controllability, universality and robustness.

The invention discloses a blade profile extraction method based on blade profile measurement point cloud. Firstly, the invention studies a preprocessing method for improving profile reconstruction quality and speed, and the preprocessing method comprises a plurality of steps of segmentation, statistical filtering and simplification based on an octree structure. Secondly, the method includes researching a profile reconstruction method of a grid envelope, and performing spatial interpolation on a fixed-height blade profile to calculate accurate blade profile data; specifically, the method adoptsan outlier filtering method based on distance statistics to carry out data filtering, and includes preprocessing the point cloud data based on octree data structure point cloud simplification and other technologies; then, combining reconstruction algorithm based on region growth with a Delaunay criterion to realize rapid reconstruction of the blade point cloud; and finally, intersecting a plane with a specified height in a part drawing with a topological grid, and finishing extraction of blade profile data through spatial interpolation. The method is high in calculation efficiency, overcomesthe problem that the blade profile characteristics are difficult to accurately reserve in a projection method, and has a good engineering application prospect.

The invention discloses a gear operation classification method based on a Fisher discrimination dictionary learning model, and the method comprises the steps: respectively collecting vibration signals of gears in different health states, and dividing the vibration signals into training data and test data which are not overlapped; decomposing the gear vibration signal based on wavelet packet transformation, and calculating the L-kurtosis value of the coefficient of each sub-band after wavelet packet decomposition; selecting a decomposition coefficient corresponding to the sub-band with the L-kurtosis value of the first 25%, and constructing a low-dimensional multi-scale sample YLM; carrying out fisher discrimination dictionary learning on the basis of the low-dimensional multi-scale sample YLM to obtain a structured dictionary D with intra-class representation capability and inter-class discrimination performance; and solving a sparse coding coefficient of the test sample on the dictionary D by adopting an iterative projection method, calculating a reconstruction error of each class corresponding to the test sample, and judging the running state of the gear according to the minimum error.

The invention discloses a variational level set image segmentation method based on Landmark simplex constraint, and belongs to the technical field of digital image processing. According to the method,prior landmark feature points of an image are converted into simplex constraints, level set expression of Landmark feature points is achieved, a variational level set image segmentation model based on Landmark simplex constraints is provided, and evolution of contours and prior points is achieved. For nonlinearity, non-convexity and non-smoothness of a segmentation model, auxiliary variables areintroduced to convert solving of a non-convex energy equation into a convex sub-problem, an alternating direction multiplier method is adopted, and a rapid projection method, a generalized soft threshold formula and a gradient descent method are comprehensively used for solving. Experimental results show that the variational level set image segmentation method based on the Landmark simplex constraint is high in segmentation performance, and the segmentation problem of noisy images, weak edge images and heterogeneous images can be solved robustly and efficiently. The obtained segmentation result is good in subjective visual effect and excellent in objective evaluation standard, and a foundation is laid for subsequent image feature extraction, interpretation and other applications.

The invention discloses an aircraft pylon grid generation and projection method and device, equipment and a storage medium, and the method comprises the steps: determining at least two groups of airfoil profile geometric data points along the cross section of a target aircraft pylon part; generating a calculation grid according to the airfoil profile geometric data points, and transforming the calculation grid according to the intersection components of the target aircraft pylon component; projecting the computational grid to a geometric surface of the target aircraft pylon component to generate projection grid points; and calibrating boundary conditions according to the projection positions of the projection grid points on the target aircraft hanger component. According to the embodimentof the invention, the method and device achieve the automatic generation of the calculation grid through a plurality of groups of airfoil profile geometric data points, avoid the gaps between grids ofdifferent parts according to the intersected parts and the projection grid, improve the generation quality of the calculation grid, and improve the accuracy of flow field characteristic analysis.

The invention relates to a zero-space behavior control dynamic task priority planning method for a multi-agent system, and the method comprises the steps: firstly, building a composite task through azero-space projection method; secondly, converting a dynamic task priority planning problem into a switching mode optimal control problem; and finally, solving the optimal control problem by applyinga mixed integer optimization method to obtain an optimal composite task trajectory. The method solves the problem of zero-space behavior control dynamic task priority planning of the multi-agent system, does not need to manually set task priority switching conditions, accordingly reduces the workload of researchers, has good expandability, and can be applied to large-quantity task priority dynamicplanning which is difficult to process by a traditional logic method. In addition, the prediction information of the future state of the intelligent agent is considered in the task priority switchingprocess, so the method has a more ideal switching effect compared with a traditional logic method.