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78results about How to "Avoid matching problems" patented technology

Method for decoding coding mark points of measuring stick based on skeleton extraction

The invention relates to a method for decoding coding mark points of a measuring stick based on skeleton extraction. The method comprises the following steps: segmenting an image by an self-adaptive threshold method and extracting foreground regions which comprise non-coding mark point regions; eliminating a noise region by utilizing the area of each foreground region to acquire a region to be extracted; performing local sub-pixel edge extraction on the region to be extracted in the original image and then positioning an oval outline; fitting an oval by oval outline points, extracting a coding mark point region and intercepting an image of the coding mark point region; performing inverse affine on the oval in the image to enable the oval to become a circle, so as to acquire a image to be decoded; performing partial differential processing and extracting the skeleton of a coding ring region; decoding the coding mark points and performing rotate right on 10 binary codes, wherein the minimal decimal value is the coding mark point decoding value; performing one-to-one correspondence on determined feature point codes on the measuring stick of left and right images, namely matching point pair. The method has the advantages that the defect that three-dimensional matching calculation is complex in the traditional algorithm is overcome, the matching precision is improved, and the important application value is achieved in the field of binocular vision three-dimensional measurement.
Owner:TIANJIN POLYTECHNIC UNIV

Multi-objective near-and-far field mixed source positioning method

The invention provides a multi-target near-and-far field mixed source positioning method and belongs to the field of the array signal processing technology. According to the method, firstly, a symmetric and homogeneous linear sensor array is arranged to receive a target signal, and then the observation signal form of a near-and-far field mixed source is determined. Secondly, a special third-order cyclic matrix is constructed based on the output of a properly selected sensor, and a direction matrix thereof only contains the azimuth information of a far-field source and the azimuth information of a near-field source. Thirdly, the eigenvalue of the third-order cyclic matrix is decomposed, so that a corresponding noise sub-space is obtained. Fourthly, a cyclic autocorrelation matrix based on the observation data of the entire matrix is calculated, and the eigenvalue of the cyclic autocorrelation matrix is decomposed. In this way, a corresponding noise sub-space is obtained. Fifthly, an already estimated azimuth is substituted to the two-dimensional MUSIC spectrum peak searching process, so that the estimation on the distance of the near-field source is realized. The application of four-order cumulants is avoided, and the calculation complexity of the algorithm is effectively reduced. The operation time of the algorithm is shortened. Meanwhile, the cyclic steady interference and the steady background noise are effectively suppressed. Moreover, the extra parameter matching process is avoided.
Owner:JILIN UNIV

Hexagonal matrix alphanumeric keypad

A compact keypad is provided for inputting data into an electronic device. With the addition of a minimum of just four more keys than found on a telephone keypad, direct single-press-per-character data entry is made possible by the use of adjecent combination keypress entries. The keys are sufficiently sized and spaced to enable the direct activation of any of a set of characters comprised of numbers, letters and symbols with a single finger stroke of either one individual key, or an adjacent combination of keys. The present compact keypad conforms to the number-letter association of a standard telephone keypad. Such numerous combinations are made possible because of combinations arising from individual keys being arranged in a close-ordered hexagonal pattern. Seven or more characters can be directly selected with a single press of a single key actuated in combination with any or none of its six adjacent keys. Each individual key is connected to an electro-mechanical contact to produce an electrical impulse corresponding to the individual key being activated. The various combinations are subsequently decoded to generate an input of the single selected character. The number of such direct data entry combinations far exceeds the number of individual keys, so substantially fewer keys are needed than those found on a full set of non-combination enabled keyboards, such as the typical QWERTY keyboard, while still maintaining the same key coding equivalency and a one-to-one key stroke to key code correspondence. Alternate embodiments of the present invention offer two handed touch-typing speed of data entry along with being compatible with current expanded function telephonic keypads.
Owner:TUASON CHRISTOPHER

A method and a device for extract that center of a laser stripe of a rail profile unde a dynamic driving environment

A method and device for extract laser stripe cent of rail contour under dynamic driving environment A laser stripe image of a rail profile to be extracted is input to a depth learning network structure segmentation model, and the light stripe image is segmented into a plurality of sub-region images accord to the gray level characteristics and the gradient direction characteristics of the light stripe; Determining the normal principal direction of each sub-region based on the gradient histogram of the light stripe; Each sub-region corresponds to a normal principal direction; According to the main normal direction of each sub-region, constructing the corresponding direction template for each sub-region. According to the direction template, the sub-pixel coordinates of the center of the lightstrip in each sub-region are determined. According to the sub-pixel coordinates of the center of the light strip in each sub-region, the sub-pixel coordinates of the center of the laser stripe of therail contour in the dynamic driving environment are extracted. The technical scheme improves the efficiency, accuracy and robustness of the laser stripe center extraction under the dynamic driving environment.
Owner:RAILWAY INFRASTRUCTURE TESTING RES INST CHINA ACAD OF RAILWAY SCI +2

Space non-cooperative target pose measurement method based on model

The invention discloses a space non-cooperative target pose measurement method based on a model. The space non-cooperative target pose measurement method is characterized by comprising the following main steps: obtaining a deep edge and a texture edge of a target model according to a relative pose at the last moment so as to obtain a visible edge model; extracting a Harris characteristic of a current scene image according to a KLT (Karhunen-Loeve Transform) algorithm; projecting the target visible edge model in an image scene, searching an image edge in a normal direction along the edge model and calculating a residual error of a corresponding characteristic point pair; estimating 3D coordinates of the Harris characteristic of a last frame through deep buffer, projecting the 3D coordinates in a current image in a current estimation pose, and calculating a residual error of a corresponding characteristic point pair; determining weights of characteristic point pairs according to an M estimator robust method and distributing the weights of characteristic points according to the average residual error obtained in the two steps; and iteratively calculating a relative pose according to a visual servo method. According to the method provided by the invention, the measurement of a relative pose of a space non-cooperative target can be realized, and the advantage of low calculating amount is achieved.
Owner:SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV

Bus type identifying method

The invention discloses a bus type identifying method, belonging to the technical field of processing a computer video. The bus type identifying method comprises the following steps of: carrying out mixed Gaussian modeling on a monitoring video, and carrying out bus type initial identification on a vehicle; secondly, establishing a corresponding 3D (three-dimensional) model according to the position information of the vehicle and the characteristics of a bus; meanwhile, extracting a characteristic segment by using an LSD (Large Screen Display) segment extracting algorithm; and finally, matching the 3D model of the vehicle and the segment characteristics by using a comprehensive algorithm of combining template matching and shortest distance matching. According to the bus type identifying method provided by the invention, the 3D model is established by using the vehicle position information and the bus type characteristics, so that the preparation work of a car type database can be avoided; meanwhile, the vehicle to be judged is initially judged by using the bus type characteristics, so that the 3D modeling and matching process can be carried out on all vehicles in the scene, and the calculation amount is reduced. Finally, the calculation accuracy is improved, and the calculation amount can be reduced by using a combined matching algorithm.
Owner:SHANGHAI JIAO TONG UNIV

Method for realizing piezoelectric pressure detection touch screen piezoelectric response uniformity by using neural network

The invention discloses a method for realizing piezoelectric pressure detection touch screen piezoelectric response uniformity by using a neural network. Themethod for realizing piezoelectric pressuredetection touch screen piezoelectric response uniformity by using the neural networkcomprises the steps that a multilayer structure piezoelectric touch screen comprising an electrode array layer anda piezoelectric thin film layer is produced, a user operates according to prompt requirements,a voltage response signal of the touch screen electrode array layer is generated and collected, after a collected signal is subjected to data preprocessing, a neural network is trained based on a gradient descent method, and thusmapping relations between a non-uniform piezoelectric response and the position and strength of touch screen of the user are established correspondingly; then, during the using by the user, when the user touches a screen, the piezoelectric response signal is acquired, and thetrained neural network is used for mapping the piezoelectric response totouch screen position and touch screen pressure. According to the method for realizing piezoelectric pressure detection touch screen piezoelectric response uniformity by using the neural network, the complicated matching process before leaving a factory and the memory consumption caused by the establishment of a huge databaseare avoided, time, energy consumption, production line testing are saved, and detection precision is greatly improved.
Owner:苏州二向箔科技有限公司

High-voltage transmission line camera image abnormality automatic judgment method

The invention discloses a high-voltage transmission line camera image abnormality automatic judgment method. The method comprises the following steps that: step 1, images are scaled to a fixed size, and gray-scale processing is performed on the images; step 2, the gray-scale mean values of each image is calculated, and whether abnormalities exist in the images is judged according to the gray-scalemean values; step 3, an LBP operator is adopted to calculate the texture information of the images; step 4, the variances of the images are calculated, and whether abnormalities exists in the imagesis judged according to the variances of the images; step 5, binarization is performed on the images; step 6, the proportion of pixels in each binarized upper 1/2 image which have gray values that arenot 0 in the corresponding upper 1/2 image is calculated, and whether abnormalities exist in the images is judged according to the proportions; and step 7, the number of images where abnormalities exist continuously is calculated, if the number reaches a certain number, it is determined that an image abnormal phenomenon occurs. With the method of the invention adopted, calculation amount can be effectively reduced; abnormal fault detection can be simplified; and the detection effect of the image abnormal phenomenon of a camera can be greatly improved.
Owner:UNIV OF JINAN
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