1685 results about "Fitting methods" patented technology

A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.

A fixing device for fixing a dispenser member (3) to an opening (41) in a fluid reservoir (4), said device having an axis of symmetry (X) and comprising a fixing ring (1) provided with means (113) for receiving the dispenser member (3) and with means (12) for fixing to the opening in the reservoir, said ring having a peripheral outside wall (111, 121), and a band (2) mounted on the ring so as to lock the ring on the reservoir opening, said band having an inside wall (21) designed to come into contact with the outside wall of the ring, said fixing device being characterized in that the outside wall of the ring is provided with at least one recess (114) and the inside wall (21) of the band is provided with at least one projecting profile (24) serving to come into engagement in the recess in the ring.

The invention discloses a method for calculating oil saturation of a reservoir. The method comprises the following steps of: establishing a reservoir oil saturation model including a free fluid porosity phi f, a bound fluid porosity phi b, as well as corresponding macropore bond index mf, micropore bond index mb and micropore bond index characteristic value parameters; measuring a core porosity phi of a selected core sample; carrying out a nuclear magnetic resonance T2 spectrum experiment and an electric petrophysical experiment on the selected core sample to determine the core porosity phi and bound water saturation Swir of the selected core sample, the free fluid porosity phi f and bound fluid porosity phi b, stratum water resistivity Rw of a saturated rock sample, saturated water rock resistivity Ro of each rock sample, and resistivity Rt of each rock under different conditions of water saturation Sw; determining parameters of a reservoir oil saturation model by adopting an optimization data fitting method; establishing a relationship between the core micropore bond index mb and the bound water saturation Swir; classifying reservoir cores according to the bound water saturation; and determining a saturation index n of each type of cores by using the optimization fitting algorithm.

System and method for evaluating and selecting methodologies for software development projects that may be used in selecting an appropriate development process (methodology) for software projects from among various methodologies. A project context for a project may be defined. Attribute values for one or more attributes of one or more components of the project context may be determined. An Agility score for the project context may be generated from the determined attribute values. In one embodiment, a project context may be scored against each candidate methodology. The Agility score may be applied to an Agility curve for the project context to determine a best-fit methodology for the project from a plurality of methodologies. In one embodiment, the plurality of methodologies may include methodologies ranging from lightweight to heavyweight methodologies. In one embodiment, the plurality of methodologies may include one or more Agile methodologies.

The invention provides a system and a method for positioning ground targets of unmanned planes based on enhanced geographic information. The system comprises an unmanned onboard system, a data transmission module and a ground station control system, wherein the unmanned plane onboard system is used for interacting information with the ground station control system by virtue of the data transmission module; the unmanned onboard system comprises a real scene collecting module, a GPS positioning module and a posture collecting module; the ground station control system comprises an electronic map database, a projection module, a positioning module and a traversal module. The system and the method have the advantages that positioning values of target points can be obtained by only matching real scene images with a three-dimensional map without the need of the complex image processing algorithm by virtue of a simple fitting method. Therefore, the ground scene targets in the large range can be accurately positioned; since the positioning algorithm is simple, the positioning rate is high; the requirements of tracking the targets in real time can be met.

In a method for extracting data of a product, an electronic design document related to the product and point cloud created using actual measurements of the product are received. The point cloud includes points of the product. The method aligns the curved surface of the product with the corresponding portion of the point cloud using a best-fit method, creates a maximum space box for a feature element of the product, and deletes points that are not within the maximum space box. According to an average distance between two neighboring points of the point cloud, the maximum space box can be divided into many small space boxes. Using the small space boxes, the points are filtered to form a feature element.

A stent-graft (100) is provided with a tightenable loop element (104) having a first end terminated in a slip knot or self-tightening knot (112) and a second end which is received in and can slide in the knot (112). The knot (112) is tied by a suture to the stent-graft (100) so as to be fixed thereto. The loop (104) is fitted to the stent-graft (100) in a manner as to pass between the inside to the outside of the graft material and in such a manner that controlled curvature of the stent-graft (100) is possible, in particular control of the overlapping of adjacent stents held within the zone of the loop (104). An introducer assembly is also disclosed which includes a control cannula (120) able to the fixed to the stent-graft (100) during the deployment procedure, as well as a mechanism of suture loops (150, 152) at the proximal end of the stent-graft (100) for retaining this in a constricted form during the process of curving the latter during the deployment process.

The invention discloses a fitting method for block chains, namely service resources, based on Kubernetes. The method provides a problem solving idea for reasonably configuring network cloud computingresources and deploying multi-scene application of the block chain in a personalized manner, the Kubernetes has the core characteristic that a container can be independently managed and thus the condition that the container in a cloud platform operates according to user expectation is ensured, and the method utilizes the characteristic to build a kubernetes cluster on a server, and thus the functions of managing the user block chain node container and distributing the computing resources needed by a block chain node to a user can be achieved. According to the successful application of the method provided by the invention, on the one hand, efficient configuration and utilization of the computing resources of a cloud service provider can be achieved, and on the other hand, convenient accessof the multi-scene application of the third-party user can be achieved.

An apparatus and method is provided for efficiently determining the source of problems in a complex system based on observable events. By splitting the problem identification process into two separate activities of (1) generating efficient codes for problem identification and (2) decoding the problems at runtime, the efficiency of the problem identification process is significantly increased. Various embodiments of the invention contemplate creating a causality matrix which relates observable symptoms to likely problems in the system, reducing the causality matrix into a minimal codebook by eliminating redundant or unnecessary information, monitoring the observable symptoms, and decoding problems by comparing the observable symptoms against the minimal codebook using various best-fit approaches. The minimal codebook also identifies those observable symptoms for which the greatest benefit will be gained if they were monitored as compared to others.

By defining a distance measure between symptoms and codes in the codebook, the invention can tolerate a loss of symptoms or spurious symptoms without failure. Changing the radius of the codebook allows the ambiguity of problem identification to be adjusted easily. The invention also allows probabilistic and temporal correlations to be monitored. Due to the degree of data reduction prior to runtime, extremely large and complex systems involving many observable events can be efficiently monitored with much smaller computing resources than would otherwise be possible.

The invention discloses a round small target accurate detection method based on an image, and solves the problems that the target is hard to be detected or the detection precision is low due to small target imaging. The method comprises the following steps of fast positioning a round small target by utilizing improved random Hough transform at the initial detection stage, and extracting a small range ROI (region of interest) in the image; and at the secondary accurate detection stage, obtaining sample points of boundary in the target through a centering eight-directional searching method, and solving the accurate detection result of the round small target by adopting a least squares fitting method. The method provided by the invention can be used for accurately identifying and detecting the round small target from the complex background, ensuring the fastness of the initial detection by utilizing the improved random Hough transform, and further improving the precision through a secondary detection way.

The invention relates to a virtual clothes fitting system. The virtual clothes fitting system comprises a clothes model database, a clothes selection module, a personal model database, a matching module and a combined display module. The invention further provides a virtual clothes fitting method. According to the virtual clothes fitting system and the virtual clothes fitting method, the clothes model database is established, a lot of clothes models are established and stored in the clothes model database, two-dimensional code information of the clothes is in index association with the clothes model database, one clothes model can be directly called by reading the two-dimensional code information of the clothes, the clothes model is matched with a user personal model, so on-site clothes model establishment is not needed, and clothes fitting efficiency is improved.

The invention relates to the field of assembly of automobile clutch boosters and aims to provide a feeding and press fitting device of a clamp spring of a clutch booster and a press fitting method of the clamp spring of the clutch booster. The feeding and press fitting device of the clamp spring of the clutch booster comprises a machine base, a pressing mechanism, a pre-pressing guiding mechanism and a feeding mechanism, wherein the machine base is provided with a locating assembly, the pressing mechanism is provided with a pressing head opposite to the locating assembly, the prep-pressing guiding mechanism is located between the locating assembly and the pressing mechanism, and the feeding mechanism conveys the clamp spring to the portion below the pressing head. The pre-pressing guiding mechanism can overcome the defects that before press fitting, elements inside the clutch booster are higher than the upper end face of a shell body under the action of the clamp spring, and when a traditional clamping spring press fitting device is applied to press fitting of the clamping spring of the clutch booster, press fitting is difficult and low in efficiency. By the adoption of the feeding and press fitting device of the clamp spring of the clutch booster, press fitting of the clamp spring of the clutch booster is easy and high in efficiency. The press fitting method of the clamp spring of the clutch booster can guarantee that press fitting of the clamp spring of the clutch booster is easy and high in efficiency.

Disclosed is a power line extracting and fitting method based on in-vehicle LiDAR data. The method includes the following steps: first, dividing in-vehicle LiDAR point cloud by using volume elements and determining points in all the volume elements, second, removing the volume elements without the power line point cloud according to distribution characteristics of true power lines, third, dividing the power line point cloud acquired by filtration according to power line corridors and initially clustering the power line point cloud with the AutoClust algorithm, fourth, clustering and merging the initial point cloud belonging to the same power line with a merging cluster method based on end portion fitting line segments, and fifth, recovering fractured power lines according to characteristics of the power lines to obtain point cloud capable of being used for representing a single power line finally and carrying out three-dimensional fitting based on the point cloud. The method can achieve automatic and quick extraction of a large amount of power line point cloud in the in-vehicle LiDAR data, and also can achieve accurate recognition on the single power line and accurate fitting of three-dimensional models of the power lines.

The invention relates to an estimating method of the main curvature and the main direction of point cloud data, which comprises the following steps of: preprocessing, estimating a normal transversal curvature, fitting a Weingarten matrix, computing the characteristic value and the characteristic vector of the Weingarten matrix and computing the main curvature and the main direction. In the method, the main curvature and the main direction faithful to an original object are obtained only by utilizing the scanning data and the estimated normal vector of a laser scanner. The main curvature and the main direction are computed by the method through least square linear fitting and the characteristic value and the characteristic vector of the matrix, the algorithm is simple, the computing result is accurate, and the time complexity is highly effective. The method is called as a normal transversal fitting method, and the computing result thereof has important application value in the fields of virtual reality, computer games, natural scene simulation, urban landscape design, data compression, characteristic extraction, object 3D reconstruction and the like.

The invention declares a correction method used for attitude and course angles of a navigation system. The method comprises the following step of providing an effective method of conducting magnetometer error compensation and attitude angle error secondary modeling and correction, and realizing error correction of a whole system on the basis of an ellipsoid fitting method of improving expanded Kalman filter. The correction method is used for error correction of the attitude and course angles in an inertial integrated navigation and positioning system composed of an inertial measuring unit (IMU), a magnetometer and the like. According to the invention, a magnetic field compensation method is expanded to three-dimensional ellipsoid fitting from two dimensional elliptical fitting; a new ellipsoidal model and an improved extended Kalman filter method are utilized to conduct ellipsoid fitting; through the adoption of the method, the dynamical and real-time compensation for three-dimensional magnetic field interference of a carrier self can be effectively realized, and the accuracy in the measurement of the geomagnetic field is improved, thereby improving the precision of the course angle of the carrier; the error secondary modeling is conducted on the attitude angle information output by the navigation system, and then compensation is conducted on the output attitude angle to improve the precision of the attitude angle in real time.

The invention relates to a fitting device for a special-shaped curved-surface cover plate and a flexible screen. The fitting device comprises a fitting body for pressing a flexible screen, a support body and a tensioning mechanism for elastically connecting the two ends of the flexible screen to the bottom of the support body or the joint body; the fitting body is provided with an air bag shell and an elastic partition wall which is positioned on the inner side; the air bag shell is provided with a flat wall and a curved wall which are used for at least pressing a flat area or an end of an archook area of the special-shaped curved surface cover plate; the flat wall and the curved wall form a flat air cavity and a bending air cavity respectively with the elastic partition wall. The fittingdevice is provided with a flat air cavity and a bending air cavity, and the air cavity can be controlled respectively, on the one hand, the fitting device can effectively control the strength of thewhole fitting body in the non-inflatable state, maintain a good shape, and effectively control the deformation of the fitting body in the inflatable state, which is more conducive to the control of the fitting strength, so as to be more favorable for controlling the bonding force; on the other hand, the different areas of the flexible screen can be attached by step, so that the bonding effect is further improved. The invention also provides a fitting method.

The invention relates to a five-axis linkage numerical control machining technology, in particular to a five-axis numerical control machining method based on interpolation of a vector of a cutting tool. The five-axis numerical control machining method comprises the following steps of cutting tool track planning: performing interpolation calculation on the vector of the cutting tool under a workpiece coordinate system while the point position of the cutting tool is planned so as to obtain a cutting tool track equation after the vector of the cutting tool is subjected to interpolation and a cutting tool nose point value and a cutting tool vector under the workpiece coordinate system; double-NURBS (non-uniform rational B-spline) curve fitting: performing fitting on a curve formed by a cutting tool nose point and a second point on the axis of the cutting tool by using a double-NURBS curve fitting method; interpolation calculation: performing interpolation on a formed NURBS curve according to a feeding speed so as to obtain corresponding various axis coordinate values in a machine tool coordinate system; and machine tool kinematical modeling and solving: establishing a corresponding machine tool kinematical equation for a specific machine tool mechanism and finishing conversion between two coordinate systems. The five-axis numerical control machining method based on interpolation of the vector of the cutting tool has the advantages of high machining precision and high surface machining quality.

A stent-graft (100) is provided with a tightenable loop element (122) having a first end terminated in a self-tightening knot (142) and a second end (138) which is received in and can slide in the knot (142). The loop (122) is fitted to the stent-graft (100) in a manner as to cause curvature of the stent-graft (100) upon tightening of the loop. An introducer assembly is also disclosed which includes a cannula (132, 150) within which a pull cord (136) and release wire (134) are located.

The invention provides a non-contact sight-line tracking method based on self-adaptive calibration. A light spot characteristic extracting method combining the BFS algorithm, image geometric features and gray features is used for accurately matching light spots with corresponding light sources; by means of a fitting method comprising the steps that circular fitting is conducted through a one-dimension edge detection operator and least square ellipse fitting, and noisy points are removed until the center of an ellipse is fixed, the accurate centers of pupils are obtained finally. Besides, a dynamically self-adaptive calibration is provided, and existing space mapping model precision is improved effectively.

The invention discloses an optimization design method for a step stress accelerated degradation test based on a Bayesian theory, and is applied to the technical field of the accelerated degradation test. The optimization design method comprises the steps as follows: firstly, determining product performance degradation and acceleration models, and based on the historical data, giving prior distribution of model parameters; secondly, determining an optimization design space, and forming a test scheme set; thirdly, creating an expected utility function or an expected loss function, determining optimization goals, and based on a Markov Chain Monte Carlo method, determining optimization goal values of designs in the test scheme set; and lastly, finding the optimal test scheme by using a curve fitting method. According to the optimization design method, the shortcoming of high possibility of larger deviation due to the implementation of the traditional (local) test optimization design method when the values of the model parameters are supposed to be known is avoided, and the optimization scheme obtained in the implementation of the test optimization design when the prior distribution of the model parameters is given is more reasonable and more actual.

The invention discloses a method for creating a three-dimensional surface model by using a perspective sketch. The method comprises the following steps of: identifying and processing a hand-drawn sketch into a vertex-edge graph consisting of contour sides and articulation points, and identifying closed areas; identifying the symmetric relation of the three-dimensional surface model, and completing hidden contours for the contours according to symmetry and visibility; establishing an object coordinate system of the surface model according to a symmetrical relation, calculating three-dimensional coordinates of the contour sides and the articulation points of the surface model, and recovering the coordinates of three-dimensional space curves among the articulation points according to curve projection between the three-dimensional coordinates of the articulation points and the articulation points; categorizing the three-dimensional closed areas of the model into different closed area pieces according to the characteristics of a level modeling method and a B-spline surface fitting method; and modeling the closed area pieces into sub-surfaces according to the characteristics of the closed area pieces by the level modeling method or the B-spline surface fitting method and jointing the sub-surfaces into a three-dimensional model through dispersing, blending and splicing.

The invention belongs to the technical field of optical imaging and detecting and relates to a bilateral dislocation differential confocal element parameter measuring method. The method includes the steps that dislocation differential subtracting processing is conducted on the two sides of a confocal axial characteristic data set measured by the starting points and the ending points of all various size parameters including the curvature radius, the lens thickness, the refractive rate, the focal distance and the interval, and therefore the positioning precision of the starting points and the ending points of the size parameters is improved, and the measuring precision of optical elements of the curvature radius, the lens thickness, the refractive rate, the focal distance, the interval and the like is improved. According to the bilateral dislocation differential confocal element parameter measuring method, due to the fact that two sections of data, close to the position of the full width at half maximum and very sensitive to axial displacement, of a confocal characteristic curve are used for conducting the dislocation differential subtracting processing, the position, calculated by the data sections, of the extreme point of the confocal characteristic curve is more sensitive and more accurate than the position, calculated through an existing confocal characteristic curve top fitting method, of the extreme point of the confocal characteristic curve, according to the result of the bilateral dislocation differential confocal element parameter measuring method, under the condition that the confocal element parameter system structure is not changed, the axial focusing capability, the signal-to-noise ratio and the like of the system can be obviously improved.

The invention relates to a direct calibration method for a line structured light vision sensor. The method comprises the following steps: establishing a target formed through standard gauge blocks and by utilizing a three-dimensional precision translation bench; projecting structured light plane to the target through the line structured light vision sensor to form feature points on the target; establishing a space coordinate system on the target; collecting target images and extracting the feature points; establishing a search index table including establishing a direct mapping relation between image coordinates of the feature points and space coordinate system coordinates of the feature points; carrying out calibration on the line structured light vision sensor; and based on the image coordinate of a point to be calibrated, searching the space coordinate system coordinate, which is obtained directly or obtained by utilizing a least squares fitting method, of the point in the search index table, so that the direct calibration of the line structured light vision sensor can be realized. The calibration method is used for the line structured light vision sensor which belongs to the small vision field high precision measurement application field. The calibration method is simple and direct, easy to realize, high in precision and can meet the need of measurement.

The invention discloses a method utilizing curve-fitting to calibrate radial distortion of a camera, belonging to the technical filed of image processing. The method comprises the following steps: adopting a checker board as a template, collecting the image of the template and finding a distortion center, detecting a linear projective point set and transferring the original point of an image plane to the distortion center, utilizing a round fitting method to obtain the equation of the arc of the original linear projection to obtain radial distortion parameters, and finally utilizing a traditional plane calibration-based method to estimate the inner parameters of other cameras. The invention avoids the complexity of an iterative method and the limitation of falling into a local optimum value, and the curve-fitting method is utilized to obtain the radial distortion parameters and is simple, convenient and effective; and on the other hand, the method of the invention separates the radial distortion parameters from the internal parameters of other cameras, thereby being more flexible than the existing method.