228results about How to "Quick registration" patented technology

The invention provides a remote sensing image registration method of a multi-source sensor, relating to an image processing technology. The remote sensing image registration method comprises the following steps of: respectively carrying out scale-invariant feature transform (SIFT) on a reference image and a registration image, extracting feature points, calculating the nearest Euclidean distances and the nearer Euclidean distances of the feature points in the image to be registered and the reference image, and screening an optimal matching point pair according to a ratio; rejecting error registration points through a random consistency sampling algorithm, and screening an original registration point pair; calculating distribution quality parameters of feature point pairs and selecting effective control point parts with uniform distribution according to a feature point weight coefficient; searching an optimal registration point in control points of the image to be registered according to a mutual information assimilation judging criteria, thus obtaining an optimal registration point pair of the control points; and acquiring a geometric deformation parameter of the image to be registered by polynomial parameter transformation, thus realizing the accurate registration of the image to be registered and the reference image. The remote sensing image registration method provided by the invention has the advantages of high calculation speed and high registration precision, and can meet the registration requirements of a multi-sensor, multi-temporal and multi-view remote sensing image.

The invention discloses a boundary feature point registering method for point cloud splicing in a three-dimensional scanning system. The method comprises the following steps that (1) a three-dimensional laser scanner acquires space sampling points on the surfaces of a real object in different view angles; (2) a boundary detecting method of a point cloud gravity center distance feature is used for extracting point cloud boundary feature points in different viewing angles; (3) an improved iterative closest point (ICP) algorithm is used for registering point cloud according to the extracted point cloud boundary feature points; (4) the registering precision is evaluated according to a registering error standard, and whether a registering result meets a registering request or not is verified. According to the boundary feature point registering method for point cloud splicing in the three-dimensional scanning system, boundary feature point extraction is conducted on the point cloud to be registered, the defect that all points in point cloud data need to be traversed to search for the corresponding points in a traditional ICP algorithm is overcome, on the basis that the registering precision is guaranteed, the complexity of the algorithm is effectively lowered, and meanwhile the efficiency of point cloud registering is obviously improved.

A router device includes a VRRP (Virtual Redundancy Router Protocol) realizing a virtual router device for operating a plurality of router devices virtually as one router device. The router device further includes a virtual router processing section for executing virtual router processing and a virtual router information processing section for extracting virtual router information upon reception of a virtual router information message and performing setting necessary for operation as a virtual router. When performing a new connection to a local area network, the virtual router information can be automatically set. Thus, it is possible to significantly reduce the load required for building a virtual router system by manual setting conventionally performed by a management operator.

A medical blood pressure transducer that provides an identifier to a monitor that conveys characteristics of the transducer. The monitor can use the information to decide whether to function, or in calibration of the system. The transducer may be part of a disposable blood pressure monitoring system, and may include two transducers closely-spaced to provide two separate but identical outputs. In this way, the transducer may be connected to both a patient monitor and a cardiac output monitor at the same time measurements from a single line can be simultaneously supplied to two separate monitoring devices (for example a patient monitor and a cardiac output monitor). The identifier for the transducer may be circuitry, specifically a resistance/capacitance (RC) combination that possesses a characteristic time constant.

Disclosed is a circuit board fault infrared image automatic detection method. The image information of the working state of a circuit board is obtained by collecting a visible light image and an infrared image simultaneously. First, a visible light image and an infrared image of a circuit board working normally are collected and stored in a database. During detection of the circuit board which malfunctions, circuit board images (including a visible light image and an infrared image) taken are compared with the images under a normal state in the database, and a computer processes the images to find an area and a specific position where a component or line with abnormal temperature is located and automatically make a mark on the visible light image. Thus, automatic detection of a possible faulty component of the circuit board is completed. The technology can be applied to fields such as circuit board maintenance and equipment fault monitoring, and can also be applied to power equipment fault repair, petrochemical pipeline coke plugging, thermal insulation layer fall-off check, railway locomotive axle condition monitoring, fire prevention, flood control, disease prevention and other temperature change related non-contact measurement fields.

The invention is suitable for the technical field of communication, and provides an intelligent refrigerator netting-in method and system, an intelligent refrigerator, an intelligent terminal and a server. The netting-in method includes the steps that the intelligent terminal is connected with a wireless access point to obtain service set identifiers and passwords of the wireless access point and transmit the service set identifiers and the passwords to the intelligent refrigerator in a broadcast manner; after receiving the service set identifiers and the passwords, the intelligent refrigerator is connected with the wireless access point according to the service set identifiers and the passwords so as to be connected into the internet; the intelligent terminal obtains an MAC address of the intelligent refrigerator and jointly transmits the MAC address of the intelligent refrigerator and a unique identification code of the intelligent terminal to the server so as to request for binding with the intelligent refrigerator; and the server builds the binding relationship between the intelligent terminal and the intelligent refrigerator according to the unique identification code and the MAC address. Rapid netting-in, registering and binding of the intelligent refrigerator are achieved, and the netting-in and binding processes of the intelligent refrigerator are simplified.

An image registrations includes determining a first binary descriptor of a first key point in a first image, determining a second binary descriptor of a second key point in a second image, determining a weighted Hamming distance between the first binary descriptor and the second binary descriptor, and registering the first key point with the second key point when the weighted Hamming distance is below a noise threshold. At least one element in the first or the second binary descriptor is a result of a comparison of a difference between intensities of at least two pixels of the first or the second image with a threshold. At least two weights of the weighted Hamming distance for comparing at least two elements of the first or the second binary descriptors are different.

The invention discloses a network registration method of a multi-mode mobile terminal, which comprises the steps that: an access type used by the mobile terminal is confirmed; all the usable labels of public land mobile networks (PLMN) stored in the memory of the mobile terminal are retrieved by the mobile terminal and a PLMN label list is constructed; one or a plurality of PLMN labels that comply with the confirmed access type are selected from the PLMN label list by the mobile terminal and a second PLMN label list is set up newly for placing the selected PLMN labels; and the mobile terminal carries out network search operation one by one according to the PLMN labels selected from the second PLMN label list. In addition, the invention also discloses a network registration device of the multi-mode mobile terminal. With the technical proposal of the invention, the mobile terminal can carry out preferential search in the PLMN list that satisfies the access requirements of the mobile terminal when carrying out network search, thereby shortening network searching process and realizing the purpose of the rapid registration of the terminal to a network.

The invention provides a real-time three-dimensional face modeling method based on depth information; the method does not adopt any previous standard face models but realizes the three-dimensional real-time modeling through registration and integration of a plurality of face depth images. The method comprises the following steps: systematically building depth information acquired from kinect; separating facial images from the depth images; back projecting, so as to form three-dimensional point cloud; smoothing, registering, integrating, drawing and displaying. With the adoption of the real-time three-dimensional face modeling method used for the computer graph and image processing and based on the depth information, a three-dimensional real-time face model required by a user can be rapidly generated only through that the user sits in the front of kinect, so that the cost and time spent on three-dimensional face modeling through laser scanning in the past are greatly reduced, and errors caused by using two-dimensional images for three-dimensional face modeling are avoided, so that three-dimensional real-time face modeling is realized at a lower cost.

The invention discloses a satellite-borne InSAR (Interferometric Synthetic Aperture Radar) long-short baseline image joint registration method, which comprises the steps of S1, inverting three-dimensional coordinate information of ground points in an imaging region by using two SAR images under a short baseline; S2, selecting characteristic pixels of a short baseline main image, substituting ground three-dimensional coordinates corresponding to each characteristic point and satellite parameters of a long baseline image into a Doppler equation, and searching an optimal solution meeting imaging conditions; S3, solving an azimuth pixel position and a range pixel position of each characteristic point in the long baseline SAR image; S4, carrying out polynomial fitting on the azimuth and range offset of the characteristic points in the long baseline image by taking the pixel positions of the characteristic points in the short baseline main image as a benchmark so as to acquire the offset of each pixel; and S5, carrying out interpolation and resampling processing on the long baseline SAR image by using the offset acquired in the step S4 so as to finally generate a registered image which is consistent with the short baseline main image in size.

The embodiment of the invention provides a splicing method and a splicing device of Lidar measurement data. The method mainly comprises the following steps of: carrying out multiple times of data acquisition on the same object in difference positions by utilizing LiDAR so as to acquire multiple point cloud data, carrying out two-to-two paring treatment on the multiple point cloud data, and uniformly segmenting two paired point cloud data to generate multiple segmenting units; selecting multiple feature units from a candidate feature unit set of the two paired point cloud data to form a matched feature unit set; forming a transformation matrix R according to a rotating shaft L and a rotating angle theta, and solving the values of the rotating shaft L and the rotating angle theta according to the principle of minimal error sum of squares of all the matched feature units; transforming all data points in the first point cloud data by virtue of the transformation matrix R and adding the obtained transformation data into the second clod point data to be combined into a complete data set. According to the embodiment of the invention, the feature regions of all the cloud point data and multiple matched feature unit pairs can be accurately and quickly determined based on the working parameters of LiDAE acquisition data, so as to quickly carry out effective splicing on the point cloud data subjected to multiple times of LiDAR sampling.

The invention relates to the technical field of satellite communication and particularly discloses a satellite terminal network selection and fast network access method and device. The method includes the steps of storing a fast network access channel list of Inmarsat and a fast network access channel list of ACeS in a satellite terminal; only searching beams of the fast network access channel list of Inmarsat or ACeS, determining a service beam among the beams and performing network access registration and residing in the step of starting selection and residing in the satellite network beam of the satellite terminal. The satellite terminal network selection and fast network access method and device can improve the network access efficiency of the satellite terminal, reduce the power consumption of the satellite terminal and enhance the user experience by storing the fast network access channel lists in the satellite terminal and only searching the beams of the fast network access channel lists for network access residing during starting network selection and network access of the satellite terminal.

The invention discloses a battery screen printing quality detecting method based on block template matching. Original images of batteries are acquired to build a template data set; images of the batteries are corrected; the corrected images of the batteries are tailored; detecting areas are extracted to reduce information redundancy; battery screen printing images are cut from battery backgrounds;a battery screen printing position is determined; block matching is performed on images to be detected by using block template images in the template data set to judge the matching degree between images of the batteries to be detected and templates; block sub images of the batteries to be detected are compared with built template sub images one by one; difference results are analyzed to obtain battery screen printing defect information; aberration quantitative analysis is performed on each sub image to obtain aberration conditions of each part in global images; and meanwhile, average processing is performed to observe global aberration conditions to finish the battery screen printing quality detection. The method needs no manual intervention, and can realize quick high-precision battery screen printing quality detection.

The invention discloses a method and system for pre-printing based on a shared printer. The method includes: S101: receiving a pre-print request sent by a terminal; S102: obtaining the geographic location according to the information carried in the pre-print request; Information of at least one printer within the range; S104: Send an information list of the queried information of at least one printer to the terminal; S105: Receive a print request from a printer selected by the terminal in the information list; S106: According to the print request The carried scheduled time controls the selected printer to print the pre-printed file carried in the print request at the scheduled time; S107: Store the printed pre-printed file. The system includes: terminals, servers and printers. The method has simple and reasonable steps, can provide scheduled printing service and file storage service without time limit, improves the utility rate of the printer, lowers the printing threshold of the user, and improves the user experience.

The invention discloses a medical image registration algorithm based on a convolutional neural network. The algorithm specifically comprises the following steps: data acquisition and preprocessing; Making a neural network training data set; Training a neural network; Performing coarse registration on the neural network model; And fine registration is carried out based on a gray value registrationalgorithm. According to the invention, the convolutional neural network can be skillfully combined with the traditional gray value-based registration algorithm; The invention discloses a convolutionalneural network elimination method in medical image processing. the complete labeled input sample is lacked; Training sample limitation and other problems, the spatial difference between a group of input fixed images and floating images is quickly calculated; Meanwhile, a neural network model rapidly obtains the spatial difference between the input images to be registered, the large spatial difference is reduced, the situation that a local optimal solution can be obtained in the optimization iteration process based on a gray value registration algorithm is avoided, and therefore the spatial difference between the two images to be registered can be rapidly and accurately calculated.

The invention provides a physical image information fusion device and a physical image information fusion method. The method comprises the following steps of: rapidly and accurately obtaining left and right viewpoint positions of a model space through characteristic edges of a real space characteristic cube, and generating left and right images of the model space; completely coinciding the characteristic cube in the left and right images of the model space and the real left and right image characteristic cube to realize rapid fusion of the physical image information; and judging whether the viewpoint is changed by detecting whether the current real image is coincided with the characteristic points of the characteristic cube in the previous real image, and calculating a new viewpoint coordinate so as to generate a new model left and right image when the viewpoint is changed. The three-dimensional simulation of an assembly environment is realized based on a three-dimensional display mode, so that an operator has a feeling of being personally on the scene, the position of a real assembling unit is sensed through binocular vision, a virtual assembling unit model is established, the virtual assembling unit and the real assembling unit are fused, and the information world and the physical world are combined.

Provided is an X-ray detector including: a data transceiver configured to wirelessly receive identification (ID) information relating to a central controller from the central controller when the X-ray detector is in a sharing mode in which the X-ray detector exchanges certain data with the central controller; and a processor configured to perform a configuration based on the received ID information.

The invention provides a ship pose estimation method based on three-dimensional point cloud features, and the method comprises the steps: firstly obtaining the three-dimensional point cloud data of atarget ship from six directions, and obtaining a complete point cloud library of the target ship in a splicing mode; constructing a point cloud template library of the target ship; and calculating ISS3D feature points and feature histograms of the to-be-registered target ship point clouds to obtain an initial coordinate transformation matrix in which the feature points in the template point cloudlibrary coincide with corresponding feature points in the to-be-registered point cloud library, thereby achieving rapid coarse registration of the point clouds in a global range. adopting an ICP pointcloud registration algorithm to carry out accurate registration of the point cloud on the basis of rough registration in the last step, and obtaining a coordinate transformation matrix for achievingaccurate registration of the point cloud; and finally, performing six-degree-of-freedom pose estimation on the target ship by utilizing the precise coordinate transformation matrix and the initial pose information of the ship in the point cloud template library. The invention provides a ship pose estimation algorithm experiment based on point cloud features, and the effectiveness of the method isverified through experimental data comparison.

The invention discloses an image registration method and an image registration device. The image registration method includes acquiring a second group of feature points of thermal imaging images; subjecting the second group of feature points to registering change to acquire a third group of feature points, wherein the registering change is based on registration parameters acquired in advance, an image acquiring device of visible images, under each focal length, has a registration parameter corresponding to the focal length, and the corresponding registration parameter under each focal length is determined according to the linear relation between the registration parameters and the focal lengths; determining a fourth group of feature points, same as feature points of the visible images in position, in the third group of the feature points; after determining the registration parameters according to the fourth group of feature points, registering the visible images and the thermal imagingimages according to the registration parameters. By the image registration method and the image registration device, real-time registration of the invisible images and the thermal imaging images canbe realized during focal length change of a visible light camera, and the visible images and thermal-imaging blended images can be output in real time.