103 results about "Geometric distance" patented technology

The invention relates to an image processing system, containing an optical digital camera (1) having means (4) that produce information representative of a specified geometric distance within the image using laser light in the detection range of the optical digital camera (1), said information representative of the specified geometric distance being processed together with the image information. Separating means (8) are arranged downstream of the digital camera, said separating means separating the information representative of the specified geometric distance from the image information. Subsequent evaluating means produce a distance value therefrom. Image storage means (9) additionally arranged downstream of the separating means are used to store the recorded image information. Adjustment means (14) automatically change the image size on a display in the form of a digital zoom for the purpose of setting the reproduction size according to a specified scale factor in such a way that an object contained in the image content, the physical dimension of which object corresponds to the specified geometric distance, is reproduced in a corresponding dimension that is multiplied by the specified scale factor.

The present invention relates to two new wave field microscopes, type I and type II, which are distinguished by the fact that they each have an illumination and excitation system, which include at least one real and one virtual illumination source, and at least one objective lens (in the case of type II), i.e., two objective lenses (in the case of type I), with the illumination sources and objective lenses being so positioned with respect to one another that they are suited for generating one-, two-, and three-dimensional standing wave fields in the object space. The calibration method in accordance with the present invention is adapted to this wave field microscopy and permits geometric distance measurements between fluorochrome-labeled object structures, whose distance can be less than the width at half maximum intensity of the effective point spread function. The invention relates moreover to a method of wave-field microscopic DNA sequencing.

A long baseline satellite formation GNSS relative positioning method based on ambiguity fixing is provided in order to improve the success rate of ambiguity fixing and the accuracy of relative positioning results. According to the technical scheme, the method comprises the following steps: first, collecting and pre-processing input data, and determining the absolute general orbit of a formation satellite; then, eliminating the geometric distance and clock error in differential observation data, estimating a single-difference phase ambiguity float solution and a single-difference ionosphere delay parameter, carrying out double-difference transform to get a double-difference wide-lane ambiguity float solution and a covariance matrix, and fixing the double-difference wide-lane integer ambiguity and the double-difference narrow-lane integer ambiguity; and finally, outputting the relative positioning result of ambiguity fixing. By adopting the method of the invention, the problem that ambiguity fixing strongly depends on a pseudo code with low observation precision due to equally-weighted pseudo code and phase processing in M-W combination in the traditional method is avoided, the success rate of long baseline satellite formation GNSS relative positioning ambiguity fixing and the accuracy of final relative positioning results are improved, calculation is stable, and the reliability of relative positioning results is improved.

The invention discloses a vision navigating method for a movement carrier based on the laser plane assistance. The method comprises the following steps: building a distance measurement and environment system, determining the position of a rectangular bright spot to be detected in an image, determining the center coordinate of the rectangular bright spot, obtaining a geometric distance measurement model, correcting the distance measurement model, segmenting the visual image, determining a local vectorization environmental space with distance information, positioning the position of the carrier per se, and building a global environmental space. Through the adoption of the method different from the traditional movement carrier autonomous navigation middle distance obtaining method, a laser plane is introduced as an auxiliary means, a single or a plurality of vision sensors are combined, the threadlike bright spot formed by the reflection of the laser plane on an object to be irradiated is fully utilized and taken as an cooperated distance measurement target, and the geometric relationship between the vision sensor and a laser light source is effectively utilized, so that the requirements for the precision, yield ratio and real-time performance of the distance calculating can be met. Therefore, the method is a reliable navigation method, and can be applied to a movement carrier autonomous navigation system.

The present invention relates to a method and a system for matching MR image feature points before and after the nonlinear deformation of a biological tissue. According to the technical scheme of the invention, a feature point automatic detection method based on a depth-cascaded convolutional neural network is provided. According to the method, firstly, a general region of feature points is obtained through the first layer of the depth convolutional network. Secondly, the position of a target feature point is approximated step by step in the second and third layers of the cascade convolutional network, so that the detection rate of feature points is further improved. The method aims to solve the problem in the prior art that the feature point distinguishing ability is reduced due to the image nonlinear deformation of existing feature point descriptors. In this way, a Riemannian manifold is combined with the kernel method to construct a nonlinear deformation feature point descriptor for robustness. The three-dimensional feature points of a magnetic resonance image are mapped into a four-dimensional Riemannian manifold space. Meanwhile, the feature points are further mapped into a higher-dimensional Hilbert space based on the kernel method, so that a richer description of data distribution is obtained. Meanwhile, a real geometric distance between feature points is obtained, so that the feature points are matched.

The invention provides a point cloud registration method based on feature point geometric surface description, belonging to the field of three-dimensional reconstruction. At first, that source point cloud and the target point cloud are load, and the curvature is calculated for data desampling; Then all the feature points of the two point clouds are extracted by 3D Harris detector, and the geometric distance between the feature points is calculated to construct a subset of the three closest feature points, and then the target surface is described by the geometric transformation relationship ofthe subset. Finally, the rotation translation matrix is calculated by matching the geometrical surface description of the source point cloud and the target point cloud, and the registration effect isevaluated by calculating the sum of the distances of the corresponding points after registration, and the optimal matrix is selected to complete the initial registration of the point cloud.

The present invention provides a method for obtaining an accurate detected value of a similarity, such as an hitting sound. The method includes the steps of: creating original standard/input pattern vectors each having a feature quantity of an hitting sound; creating a skewness-weighting vector and a kurtosis-weighting vector based on a reference pattern vector of a reference shape; calculating a skewness-weighted standard pattern vector and a kurtosis-weighted standard pattern vector by product-sum operation using component values of the skewness-weighting vector and the kurtosis-weighting vector and a component value of the original standard pattern vector; creating a dual and weighted standard pattern vector based on these vectors and similarly creating a dual and weighted input pattern vector; creating dual and selected standard/input pattern vectors based on the dual and weighted standard/input pattern vectors; and setting an angle between the dual and selected standard and input pattern vectors as a geometric distance value between the original standard and input pattern vectors.

The invention provides a three-dimensional finger vein feature extraction method, comprising the following steps: 1, acquiring two-dimensional finger vein image; 2, mapPING that two-dimensional fingervein image to a three-dimensional model to realize the construction of the three-dimensional finger model; 3, normalizING that three-dimensional finger model; 4, performing feature extraction on thenormalized three-dimensional finger model. The invention also provides a three-dimensional finger vein feature matching method. The method calculates vein texture features and middle axis geometric distance feature scores of template samples and samples to be matched, and carries out weighted fusion, and judges the fused matching scores through a threshold value, thereby completing the matching recognition of the three-dimensional finger vein. The three-dimensional finger vein feature extraction method and the matching method thereof can obtain more vein texture features, obtain better matching recognition effect, and effectively solve the problem of poor matching recognition performance caused by finger posture change, thereby improving the accuracy and effectiveness of vein matching recognition.

The invention provides a multi-sensor compact combination train combined positioning method based on a pseudo range/a pseudo range rate. The method comprises the following steps of: recursively calculating the position, speed and attitude information of a train by INS, calculating the geometric distance between a satellite and the train according to the train position calculated by the INS and theGNSS satellite position, calculating a pseudo range difference value between a pseudo range measured by GNSS and the geometric distance between the satellite and the train calculated by the INS, calculating a pseudo range rate difference value between a pseudo range rate measured by the GNSS and the speed of the train calculated by the INS, and calculating a speed difference value between the speed of the train calculated by the INS and the speed measured by OVS; inputting the geometric distance between the satellite and the train and various difference values as the measurement input of thesystem filtering, and correcting the error of the INS system by adopting standard Kalman filtering. By collecting GNSS original data, INS measurement data and OVS measurement data, the method can continue positioning by an INS/OVS combined system in a GNSS signal failure environment so as to ensure continuous and seamless positioning of the train.

The invention provides a binocular stereoscopic vision image measurement method based on polar line correction, used for solving a technical problem of low measurement precision of a binocular stereoscopic vision image in the prior art. The implementation steps of the method comprises: (1) acquiring internal parameters and external parameters of a binocular camera; (2) performing polar line correction on the binocular stereoscopic vision image; (3) preprocessing the binocular stereoscopic vision image subjected to polar line correction; (4) obtaining a matching point pair set of the preprocessed binocular stereoscopic vision image; (5) calculating the three-dimensional coordinates of all points to be measured in the target object corresponding to the matching point pair set under the worldcoordinate system; and (6) obtaining geometric distance information between any two points of the target object in the binocular stereoscopic vision image. According to the method, a polar line correction algorithm is added in the binocular stereoscopic vision image measurement process, the binocular stereoscopic vision image measurement precision is improved, and the method can be used for sizemeasurement of a target object with the high precision requirement.

The invention discloses an error correction method for a marine anemometer. The method includes the steps of acquiring the three-dimensional ship swing and pitch output by a platform compass or inertial navigation system of a current ship and the three-DOF (degree of freedom) rotation angular speeds of a bow, and recording the rate of changes over time of the three angular speeds; determining a motion central point of three DOF of the current ship, and determining the geometric distance from the central point to the marine anemometer; calculating linear speeds (tangential speeds), in the distance of the anemometer corresponding to the three DOF, and corresponding directions; subjecting the three-DOF linear speeds and corresponding directions to vectorial resultant to obtain a direction and speed value each time, for a three-dimensional anemometer height corresponding to the platform compass data, and determining the direction and speed value as a measurement error caused by the ship swing and pitch and the rotation of the bow; subtracting error vector wind by a direction and speed vector measured by a ship-borne weather instrument so as to obtain corrected true speed and direction.

The invention relates to a composite pane having an electrically heatable coating, which comprises: at least two panes; an intermediate layer, which connects the panes to one another; at least one transparent, electrically conductive coating on at least one side of at least one of the panes which faces the intermediate layer; and at least two bus lines, which are connected to the transparent, electrically conductive coating, wherein a first bus line is electrically connected to a first feed line provided for connection to one pole of a voltage source and a second bus line is electrically connected to a second feed line provided for connection to the other pole of the voltage source. The transparent, electrically conductive coating contains silver, has a sheet resistance of 1 ohm/square to 10 ohms/square and has n notches, n being an integer >2, which divide the coating into a plurality of coating regions, wherein the coating regions are serially electrically connected to one another, and wherein the notches are formed such that the resistance of the transparent, electrically conductive coating has a heating power of 300 W/m2 to 1000 W/m2 at an operating voltage provided by the voltage source in the range of more than 100 V to 400 V, in particular in the range of 280 V to 400 V, and wherein a coating section of the electrically conductive coating located in the region of a shortest geometric distance between the first bus line and the second bus line is electrically interrupted by a plurality of notches, wherein the number of notches is selected in dependence on the magnitude of the operating voltage provided such that a voltage drop over an individual notch, by which two adjacent coating regions are electrically separated from one another, is less than a breakdown voltage of the notch.

The invention discloses an unmanned aerial vehicle formation searching and task scheduling method. The method comprises the following steps of: calculating a geometric distance between an initial search point and a base station based on an unmanned aerial vehicle energy consumption model, determining search subspaces of different unmanned aerial vehicles, discretizing the search subspaces, planning an unmanned aerial vehicle search path by adopting a width priority method and combining search track memory, and performing cooperative scheduling with a neighbor unmanned aerial vehicle to finish a search task of a target space when the energy of the unmanned aerial vehicle is insufficient. According to the method, through energy consumption, search area division, path planning and task scheduling, unmanned aerial vehicles are used for formation flight in a search space, different search areas are divided to obtain continuous search paths, task switching is performed when the energy supply of the unmanned aerial vehicles is insufficient, the search time is prolonged while the search efficiency is guaranteed, and the unmanned aerial vehicles can effectively complete search and scheduling tasks of a target area.

Disclosed is a method for obtaining an accurate detected value of a similarity between images or the like. Original standard and input pattern matrices, each having a feature quantity of an image as an element, are created (Sb1 and Sb3). A weighting vector having a value of a change rate of a kurtosis of a reference pattern vector composed of a reference shape as an element is created, and an original and weighted standard pattern matrix is calculated by a product-sum operation of an element value of the weighting vector and an element value of the original standard pattern matrix (Sb2). Then, an original and weighted input pattern matrix is calculated by a product-sum operation of the element value of the same weighting vector and an element value of the original input pattern matrix (Sb4), and a geometric distance value between the original standard pattern matrix and the original input pattern matrix is calculated as a cosine of an angle between the original and weighted standard pattern matrix and the original and weighted input pattern matrix (Sb5).

The invention belongs to the technical field of GNSS data processing and ionosphere monitoring, and discloses a high-precision GNSS ionosphere TEC observation value extraction method. Precise single point positioning calculation of the station-by-station standard mode is performed on a GNSS observation network by using the original observation data of GNSS observation network through combination of the high-precision track, clock error and antenna information provided by the IGS, the wide lane ambiguity and the narrow lane ambiguity of the phase observation value are fixed and the fixed wide lane integer ambiguity and the narrow lane integer ambiguity are substituted in the no-geometric-distance phase combination observation value so as to extract the ionosphere TEC observation value. Theproblem of low extraction accuracy of the ionosphere TEC observation value in the prior art can be solved so that the ionosphere TEC observation values of different observation stations in the whole network are enabled to have great self-consistency and consistency, the influence of arc segment length and multipath error on the extraction result is low and thus the extraction accuracy of the ionosphere TEC observation value can be effectively enhanced.

Disclosed is a method for obtaining a precise detected value of a similarity between voices or the like. Standard and input pattern matrices, each having a voice feature amount as a component, are prepared (S1 and S2). A reference shape having a variance different for each specified component of the pattern matrices is prepared, and positive and negative reference pattern vectors, each having a value of the reference shape as a component, are prepared. Then, while the specified component (a center of the reference shape) being made to move to each component position j₁=1 to m₁, j₂=1 to m₂ of the standard pattern matrix, a shape change between the standard and input pattern matrices is substituted for shape changes of the positive and negative reference pattern vectors. And, an amount of change in kurtosis of each reference pattern vector is numerically evaluated to obtain a shape change amount Dj₁j₂ (S3). Then, a value of a geometric distance between the pattern matrices is calculated from Dj₁j₂ (S4).

The present invention relates to fluid bubble measurement and image processing. To meet accurate corresponding point matching of dual-view angle multiple bubbles of a left image and a right image in a three-dimensional measurement system of gas-liquid two-phase flow characteristic parameters, the technical scheme of the present invention is that, the dual-view angle multiple bubble corresponding point matching method based on the multi-dimensional threshold value constraint comprises the following steps: (1) adopting a digital image processing technology to acquire center-of-mass coordinates and projection heights of the multiple bubbles in an image requiring matching, determining ordinate difference of the air bubble pair, and performing the next determination; (2) adopting the projection compatibility constraint of the bubbles in the dual-view angle image to perform further determination on a candidate primitive; (3) adopting the matched primitive with a nearest geometric distance to an epipolar line as a candidate primitive; and (4) carrying out reverse epipolar line calculation on the screened matched point, and then calculating based on the multi-dimensional threshold value constraint to finally achieve the corresponding point matching. The method of the present invention is mainly applicable for fluid bubble measurement.

The invention discloses a spectrum sensing method and device in a cognitive wireless network. The method comprises the following steps: sampling a noise environment to obtain a first sampling matrix, and obtaining a corresponding first covariance matrix based on the first sampling matrix; sampling a wireless signal to be sensed to obtain a second sampling matrix, and obtaining a second covariance matrix based on the second sampling matrix; calculating a geometric distance between a first coordinate point and a second coordinate point by adopting a statistical manifold measurement method, wherein the first covariance matrix and the second covariance matrix separately correspond to the first coordinate point and the second coordinate point of a statistical manifold, and the statistical manifold is established based on Gaussian distribution; judging whether the geometric distance is greater than a preset threshold, if yes, determining that a signal exists in the wireless signal to be sensed, and otherwise, determining that only noises exist in the wireless signal to be sensed; and setting the preset threshold based on the false alarm probability. According to the spectrum sensing method and device disclosed by the invention, the wireless signal to be sensed can also be sensed even under relatively low signal-to-noise ratios during use, and the spectrum sensing efficiency can be improved.

The invention provides a method for monitoring leakage and positioning a pipeline through a straining loop sensor array, and belongs to the technical field of monitoring of pipelines. The method is characterized by comprising the steps of monitoring leakage through a negative pressure wave time interval signal generated by the straining loop sensor array during measuring leakage; measuring time difference of a negative wave signal and a geometric distance equitation set of a straining loop sensor through the straining loop sensor array; removing negative pressure wave speed which is an unknown value; solving the position of a leakage point; reducing the positioning error by the method of averaging a plurality of leakage point positions. The method has the effects and benefits that the shortage that the negative pressure wave speed is utilized for calculating and positioning in the traditional negative pressure wave positioning method, which causes low leakage positioning precision is solved; the reliability is high, the pipeline structure is free of damage, and the leakage can be monitored on real time.

An apparatus for playing back an audio object associated with a position includes a distance calculator for calculating distances of the position to speakers or for reading the distances of the position to the speakers. The distance calculator is configured to take a solution with a smallest distance. The apparatus is configured to play back the audio object using the speaker corresponding to the solution.