606 results about "Reference vector" patented technology

A system is mounted within eyewear or headwear to unobtrusively produce and track reference locations on the surface of one or both eyes of an observer. The system utilizes multiple illumination sources and / or multiple cameras to generate and observe glints from multiple directions. The use of multiple illumination sources and cameras can compensate for the complex, three-dimensional geometry of the head and anatomical variations of the head and eye region that occurs among individuals. The system continuously tracks the initial placement and any slippage of eyewear or headwear. In addition, the use of multiple illumination sources and cameras can maintain high-precision, dynamic eye tracking as an eye moves through its full physiological range. Furthermore, illumination sources placed in the normal line-of-sight of the device wearer increase the accuracy of gaze tracking by producing reference vectors that are close to the visual axis of the device wearer.

Arrangement for the intra-operative determination of the spatial position and angular position of a joint replacement implant, especially a hip socket or shoulder socket or an associated stem implant, or a vertebral replacement implant, especially a lumbar or cervical vertebral implant, using a computer tomography method, having: a computer tomography modeling device for generating and storing a three-dimensional image of a joint region or vertebral region to be provided with the joint replacement implant, an optical coordinate-measuring arrangement for providing real position coordinates of defined real or virtual points of the joint region or vertebral region and / or position reference vectors between such points within the joint region or vertebral region or from those points to joint-function-relevant points on an extremity outside the joint region or vertebral region, the coordinate-measuring arrangement comprising a stereocamera or stereocamera arrangement for the spatial recording of transducer signals, at least one multipoint transducer, which comprises a group of measurement points rigidly connected to one another, and an evaluation unit for evaluating sets of measurement point coordinates supplied by the multipoint transducer(s) and recorded by the stereocamera, and a matching-processing unit for real position matching of the image to the actual current spatial position of the joint region or vertebral region with reference to the real position coordinates of the defined points, the matching-processing unit being configured for calculating transformation parameters with minimalization of the normal spacings.

A video encoding method comprises storing a plurality of encoded frames of a video in a memory, generating a to-be-encoded frame which is divided in a plurality of regions including at least one encoded region and at least one to-be-encoded region, generating a predictive vector of the to-be-encoded region of the to-be-encoded frame using a plurality of motion vectors as a plurality of reference vectors, the motion vectors being generated with respect to at least one reference frame selected from the encoded frames for a motion compensative prediction when encoding an original region of the encoded region around the to-be-encoded region of the to-be-encoded frame, and encoding the to-be-encoded frame to generate encoded video data.

A method and an apparatus for elevating compression efficiency of a motion vector by effectively predicting a motion vector of an enhanced layer by means of a motion vector of a base layer in a video coding method employing a multi-layer structure are disclosed. A motion vector compression apparatus includes: a down-sampling module for down-sampling an original frame to have a size of a frame in each layer; a motion vector search module for obtaining a motion vector in which an error or a cost function is minimized with respect to the down-sampled frame; a reference vector generation module for generating a reference motion vector in a predetermined enhanced layer by means of a block of a lower layer corresponding to a predetermined block in the predetermined enhanced layer, and motion vectors in blocks around the block; and a motion difference module for calculating a difference between the obtained motion vector and the reference motion vector.

A method for encoding a video frame. The method including obtaining a current frame from a video stream, where the video stream includes a number of frames, determining a first base QP value for the current frame, and sending the first base QP value for the current frame to a decoder. The method also includes obtaining a first macroblock from the current frame, where the first macroblock includes a first image on the current frame, determining a first actual quantization parameter (QP) value for the first macroblock, and determining a first reference block for the first macroblock. The method also includes determining a first predicted QP value for the first macroblock using the first reference block, calculating a first ΔQP value for the first macroblock, and sending the first ΔQP value, a first prediction mode, and a first reference vector to the decoder.

A method and system for objectively evaluating the quality of speech in a voice communication system. A plurality of speech reference vectors is first obtained based on a plurality of clean speech samples. A corrupted speech signal is received and processed to determine a plurality of distortions derived from a plurality of distortion measures based on the plurality of speech reference vectors. The plurality of distortions are processed by a non-linear neural network model to generate a subjective score representing user acceptance of the corrupted speech signal. The non-linear neural network model is first trained on clean speech samples as well as corrupted speech samples through the use of backpropagation to obtain the weights and bias terms necessary to predict subjective scores from several objective measures.

The invention discloses an autocollimation method of a carrier aircraft rotating type strapdown inertial navigation system under a shaking base, and belongs to the field of navigation. The autocollimation method comprises the following steps of: firstly obtaining the longitude and latitude of the position of a carrier, secondly collecting output signals of a fiber-optic gyro and a quartz flexible accelerometer in an inertia measurement unit, and then carrying out automatic compensation on a constant error of an inertia device by adopting a double-shaft rotating table rotatory IMU (inertial measurement unit) to form a rotating type strapdown inertial navigation system; and then calculating a rough initial posture array by utilizing gravity acceleration in an inertial coordinate system as a reference vector, establishing a state equation and a measuring equation again of the system, designing a vanishing adaptation Kalman filter to accurately estimate a misalignment angle of the carrier, and correcting a strapdown posture matrix by utilizing the misalignment angle to finish initial alignment and enter a navigation state. The method isolates the influence of shake of a vessel to initial alignment of a carrier aircraft, and dynamic random disturbance in measured noise is restrained through estimating the initial posture array of the system via the vanishing adaptation Kalman filter method, so that rapid autocollimation of the carrier aircraft rotating type strapdown inertial navigation system is realized.

An apparatus for performing initial synchronization and frame synchronization in a mobile communications system and method thereof are disclosed. First of all, a method and apparatus for performing frame synchronization in a mobile communications system using a correlation value between a received signal and a reference vector for a phase according to one embodiment of the present invention are disclosed. Secondly, a method and apparatus for performing frame synchronization by considering all phase modulation possibility and frequency offsets according to another embodiment of the present invention are disclosed. Thirdly, a method and apparatus for performing initial estimation in a manner of dividing at least one subframe received from a base station by a UE in the course of cell search into at least two areas, calculating a correlation for each of the at least two areas and using a maximum value of the calculated correlation value per area are disclosed.

The invention discloses an inter-view predicting method in the multi-view points video technique, comprising the following steps that: a coding terminal takes a parallax vector as a reference vector to inter-view predict a macroblock to be coded and the parallax vector information of the macroblock to be coded is transmitted to a decoding terminal; the decoding terminal obtains the parallax vector information, the inter-view prediction of the macroblock by the reference vector is determined according to the parallax vector information. The invention also discloses a multi-view points video coder and a multi-view points video decoder.

The present invention is directed to an object recognition system. The system includes a database having stored therein a trained reference vector. The trained reference vector includes a finite string of weighted reference feature elements optimized using a genetic algorithm which uses a dynamic length chromosome. The trained reference vector is optimized relative to a fitness function. The fitness function is an information based function. The trained reference vector corresponds to a known object or class of objects. A sensor is disposed in a surveilled region and configured to generate sensor data. The sensor data corresponds to objects disposed in the surveilled region. A recognition module is coupled to the sensor and the at least one database. The recognition module is configured to generate data object vectors from the sensor data. Each data object vector corresponds to one object. The recognition module is configured to combine the reference vector with each data object vector to obtain at least one fusion value for that vector. The fusion value is compared with a predetermined threshold value to thereby measure the likeness of the at least one object relative to the known object or class of objects.

Characterizing a color imaging system involves generating color values representing colors of output samples of the color imaging system. The color values are converted into a device-independent color coordinate system using an adjustable white reference vector and a black reference vector. The white reference vector is calculated using the black reference vector. Color values can be transformed between color imaging systems using the device-independent color coordinate system.

A listening device and respective method for processing speech audio signals present in noisy acoustical sound waves captured from an adjacent environment for persons with normal hearing. The device comprises a housing for providing acoustical and mechanical coupling to a user's ear, the housing having a first portion for positioning in the ear and an elongated second portion extending from the first portion. The device also comprises a pair of spaced apart microphones positioned on a line-of-sight reference vector and supported by the housing, at least one of the microphones located in the elongated second portion of the housing, the microphones configured for capturing the acoustical sound waves from the environment including speech related elements and non-speech related elements. A digital signal processor is supported by the housing and is configured for digitally processing the captured acoustical sound waves to identify and select the speech related elements propagating towards the second portion in the vicinity of along the line of sight vector and for enhancing the signal strength of the selected speech related elements with respect to other of the elements in the captured acoustical sound waves to generate a processed acoustical digital signal. A receiver located in the first portion is used for converting the processed acoustical digital signals into processed analog acoustical signals and for transmitting the processed analog acoustical signals into the user's ear.

The invention discloses a simple and feasible calibration method for the relative attitude of a binocular stereo camera and an inertial measurement unit on the basis of the absolute gravity direction. The method comprises the steps that a gravity direction vector serves as a reference vector, expressions of the gravity direction vector under a camera coordinate system and under an IMU coordinate system are solved respectively to obtain the expressions of the same vector under the two different coordinate systems, and then the attitude change relationship between the two coordinate systems can be solved; finally, precision verification is performed through reprojection errors, and application of the calibration method in a visual odometer is supplied. Experiments show that the relative attitude between the camera and the IMU can be accurately solved through the method. The method can be used for assisting in vision positioning of mobile robots and spherical robots.

In order to clustering documents, document vectors are formed for each of a plurality of documents of a corpus and plurality of reference vectors is generated. The document vectors are then compared to the reference vectors to generate similarity values for each of the document vectors. The document vectors are then sorted based on the similarity values for the document vectors to form a sorted list. Clusters are then formed based on the similarity between adjacent document vectors in the sorted list.

A mechanism by which a MEMS gyroscope sensor can be calibrated using data gathered from other sensors in a system incorporating the MEMS gyroscope sensor is provided. Data gathered from an accelerometer and a magnetometer in fixed orientation relative to the gyroscope is used to calculate changes in orientation of a system. A constant acceleration vector measured by the accelerometer and a constant magnetic vector measured by the magnetometer are used as reference vectors in a solution to Wahba's problem to calculate a rotation matrix providing the system's orientation with respect to those two constant vectors. By comparing changes in orientation from one time to a next time, measured rates of angular change can be calculated. The measured rates of angular change can be used along with observed gyroscope rates of angular change as input to a linear regression algorithm, which can be used to compute gyroscope trim parameters.

A network disturbance module for a control device of a wind energy installation having a generator driven by a wind rotor and a converter for producing electrical power fed into a network. The module includes a measurement device configured to measure at least one electrical parameter of the network, a detector configured to identify a network disturbance and output a switching signal, and a reference generator configured to produce a substitute reference vector for the converter based on the at least one electrical parameter. The module also includes a fault management unit comprising a fault classifier, the unit being configured to interact with the measurement device, detector, and reference generator such that, in the event of an undervoltage during island operation, a quick-action frequency regulator is activated. The regulator acts on the converter to vary a real-power feed P in the event of a discrepancy in a network frequency.

A motion vector derivation unit (11) includes a comparison unit (20) for comparing a parameter TR1 for a reference vector with a predetermined value to determine whether it exceeds the predetermined value or not; a switching unit (21) for switching selection between the maximum value of a pre-stored parameter TR and the parameter TR1 according to the comparison result by the comparison unit (20); a multiplier parameter table (for multipliers) (22); and a multiplier parameter table (for divisors) (24) for associating the parameter TR1 with a value approximate to the inverse value (1 / TR1) of this parameter TR1.

Control systems, methods and power conversion systems are presented for controlling harmonic distortion, in which multi-sampling space vector modulation (SVM) is employed for controlling power converter switching devices, with a reference vector being sampled two or more times during each SVM period to update the SVM dwell times more than once during each SVM cycle.

The invention provides an analysis method of a multispectral image of a note, comprising the steps of: firstly, carrying out preprocessing on the acquired multispectral image of the note; then carrying out light-dark output compensation on effective areas by a fast block mapping method and obtaining clear local areas; and by a method for customizing local pairs, constructing a characteristic vector, calculating relevant coefficients of the characteristic vector and a standard reference vector, and carrying out false distinguishing according to the correlation between the vectors. In addition,a comprehensive crown-size recognition method is provided, so that the accuracy of the crown-size recognition is improved. In the method provided by the invention, the false-distinguishing speed and the crown-size recognition accuracy of the note can be obviously improved.

The invention discloses a microgrid control method having functions of voltage unbalance compensation and harmonic suppression. An integrated controller acquires a common bus voltage and calculates an unbalance factor vector, a characteristic order harmonic component positive-sequence compensation reference vector and a characteristic order harmonic component negative-sequence compensation reference vector of the common bus voltage, and transmits the vectors to a local controller of every parallel inverter through low-bandwidth communication. In the local controller, a characteristic order harmonic positive- and negative-sequence compensation voltage vector is calculated and is superposed with a reference voltage vector, a virtual impedance voltage vector and the common bus voltage unbalance factor vector to synthesize and correct a voltage regulating reference vector, and unbalance compensation and harmonic suppression of the common bus voltage is carried out through inverter voltage and current control. By applying the method provided by the invention to a multi-inverter parallel system in which a common bus is connected with a three-phase unbalanced load and a nonlinear load, three-phase voltage balance of the microgrid can be maintained, output voltage distortion of three-phase inverters can be reduced, and output power of the parallel inverters can be accurately allocated.

A spacecraft attitude fixing method of DD2 (Divided Difierence 2) filter and a counting method based on Euler-q (Euler-quaternion) are provided, which relates to a state estimation and attitude determination method based on vector observation. The invention is characterized in that: according to the reference ephemeris and the reference vector and the observation vector observed by a star sensor, the spacecraft attitude quaternion can be gotten through Euler-q counting method; through DD2 filter, on one hand, feedback compensation the attitude matrix obtained through resolving by gyro; on the other hand, revise the palstance output of three-axle gyro and conduct compensation to the constant drift of gyroscope. As for that, the current spacecraft attitude information when getting high precision can be achieved, the constant drift of gyroscope can be scaled on line. The invention is an unattended attitude determining method, which is characterized in high precision and good timeliness, being convenient and feasible, and can be used in the attitude fixing system of various spacecrafts.

A method and a system for identifying failures in an aeroengine. The system includes: a mechanism defining a set of standardized indicators representative of operation of the aeroengine; a mechanism constructing an anomaly vector representative of a behavior of the engine as a function of the set of standardized indicators; a mechanism selecting in an event of an anomaly being revealed by the anomaly vector a subset of reference vectors having directions belonging to a determined neighborhood of a direction of the anomaly vector, the subset of reference vectors being selected from a set of reference vectors associated with failures of the aeroengine and determined using criteria established by experts; and a mechanism identifying failures associated with the subset of reference vectors.

The invention is applicable to the technical field of image processing, and provides a target tracking method and device, a computer device and a storage medium. The method comprises the steps of: acquiring a detection window of each frame image; performing normalization and region segmentation on each detection window according to the preset size, and extracting the eigenvalue of each sub-regionto compose the eigenvector of the object to be detected; determining a starting frame, a detection frame and a reference vector set according to a preset selection mode; calculating a similarity between a feature vector of a target to be detected and each reference feature vector in a reference vector set, and obtaining a maximum similarity; if the maximum similarity is greater than or equal to the first similarity threshold, determining that the feature vector corresponding to the maximum similarity and the reference feature vector belong to the same tracking target, and recording the changetrajectory of the tracking target according to the feature vector. The invention effectively reduces the error judgment rate of the target to be detected when the multi-position tracking target, and improves the target detection accuracy.

The invention discloses a wind turbine generator system fault diagnosis method and device based on gray correlation. The method comprises the following steps of supposing that m fault types exist, wherein each fault type can be represented by n fault character vectors; determining a character reference vector of each fault type, obtaining m*n dimensional character reference vector spaces of m fault types on the basis of all character reference vectors, and obtaining correlation coefficients of various character reference vectors in to-be-diagnosed vectors and character reference vector space according to a correlation coefficient calculation formula; obtaining total correlation degree of the to-be-diagnosed vectors to different faults of the m fault types by a correlation degree calculation formula, and performing normalized processing on the correlation degree to obtain a confidence value of the to-be-diagnosed vector in different faults; and performing Dempster combination rule fusion on multiple evidences according to a fusion formula to obtain the final diagnosis result. By adopting the method and the device provided by the invention, the confidence degree of the fault mode is greatly enhanced, thus the fault diagnosis can be carried out conveniently and effectively.

Inverter is modulated based on first, second, and third switching states determined according to a reference vector represented as a sum of a remainder vector connecting the reference vector with a first vertex of a modulation triangle and a set of vertex vectors connecting a center vertex of space vector diagram with the first vertex. A first switching state of the inverter at the first vertex is determined based on angles of vertex vectors in the set. A second switching state of the inverter at a second vertex of the modulation triangle and a third switching state of the inverter at a third vertex of the modulation triangle are determined based on the first switching state and the remainder vector.

The invention is applicable to the field of speaker recognition, and provides a speaker recognition method and device. The method includes the steps that a JFA speaker supervector is extracted, and the JFA speaker supervector is a GMM supervector, wherein channel information influences are removed through a joint factor analysis method; segmentation is conducted on the extracted JFA speaker supervector, and the JFA speaker supervector is divided into multiple sub-vector sets; nonparametric distinction analysis is conducted on the sub-vector sets to establish a sub-space speaker model; a reference vector of a speaker to be recognized and a reference vector of a training sample speaker are obtained according to the sub-space speaker model so as to conduct speaker recognition. Compared with the prior art, the speaker recognition method and device are small in operation quantity and simple in test data collection, and recognition performance is improved.