18results about How to "Improve registration efficiency" patented technology

The invention discloses a chip image registration method, device and equipment, and relates to the technical field of image processing, and the chip image registration method comprises the steps: obtaining a preset overlapping ratio, and calculating and obtaining a preset overlapping region of adjacent chip images according to the preset overlapping ratio; according to the matching similarity in the preset overlapping area, obtaining the actual overlapping rate of the chip image; and according to the actual overlapping ratio, registering the adjacent chip images to obtain a target chip image. Through the above mode, according to the preset overlapping rate, the actual overlapping rate is obtained in the preset overlapping region according to the similarity, so that registration is completed according to the actual overlapping rate in the subsequent matching process, the size of the overlapping region in the registration process is accurate, and the phenomenon that the registration accuracy is poor in the subsequent registration process is avoided. And due to the fact that the calculation amount is increased due to the too large area and information loss is caused due to the too small area, the registration efficiency is improved, and the registration precision requirement is met.

The present disclosure provides a copyright registration method and device, electronic equipment and storage medium, which can be applied to the fields of data processing, finance or other fields. The copyright registration method comprises: in response to an operation instruction of a client, generating a target address of a target file according to an obtained private key; at least one authentication node of a consortium chain platform sends a non-fungible token of the authentication node to the target address to conduct copyright authentication on the target file, the non-fungible token is obtained by the authentication node for verifying and recording transaction conditions, and the non-fungible token has a node identifier associated with the authentication node; a bookkeeping node of the consortium chain platform generates a record of ownership change of the non-fungible token according to the ownership change content of the non-fungible token, and the bookkeeping node is determined from the at least one authentication node; and the server determines a copyright authority index of the target file according to at least one non-fungible token received by the target address.

The application provides a SERF atomic magnetometer and a head nuclear magnetic resonance image automatic registration method, comprising the following steps: obtaining three-dimensional information of a subject's head based on an optical scanner, and dividing the scanning point cloud into two parts of a helmet and a face; performing coarse registration on the helmet model and the helmet point cloud based on an FPFH descriptor, performing fine registration by using an ICP algorithm, and determining the position and direction of the sensor on the three-dimensional scanning data; performing coarse registration on the face point cloud and the head nuclear magnetic resonance image based on face symmetry information, performing fine registration by using an ICP algorithm, and converting the sensor position and direction information to the nuclear magnetic resonance image coordinate system. The registration algorithm realized by the application has the characteristics of automation, high precision and high efficiency, greatly simplifies the registration process, is convenient for medical staff to use, and promotes the medical application of brain magnetism.

The invention discloses a mixed reality space registration method, apparatus and device, and a storage medium. The method comprises the steps of obtaining a plurality of mark coordinates of a reflective mark arranged on a probe tool in an optical space, and determining a first point cloud coordinate set in an optical positioning space; acquiring a second point cloud coordinate set in the virtual space, and performing coarse registration and alignment on the optical positioning space and the virtual space based on the first feature point cloud coordinate and the second feature point cloud coordinate of the preset feature point; and determining an initial fine registration error and an initial fine registration error weight according to a first point cloud coordinate set coarse registration conversion result and a second point cloud coordinate set in the coarse registration result, and performing iterative fine registration alignment on the optical positioning space and the virtual space based on the initial fine registration error and the initial fine registration error weight. A final precise registration conversion matrix is obtained; and determining a mixed reality space registration result based on the final fine registration conversion matrix, so that the efficiency and accuracy of mixed reality space registration can be improved.

This invention discloses a data processing method and apparatus for invoice management. The method includes: acquiring invoice image information to be processed; the invoice image information to be processed includes several invoice images to be processed; performing detection processing on the invoice image information to be processed to obtain an image detection result information set; the image detection result information set includes several image detection result information; performing identification and classification processing on the image detection result information set to obtain invoice identification information; the invoice identification information is used to indicate intelligent management of invoices. Therefore, this invention can obtain invoice identification information for indicating intelligent management of invoices through comprehensive processing such as detection processing and identification and classification of invoice image information to be processed. This is beneficial for improving the intelligent collection, intelligent storage, and intelligent verification of invoice information, thereby improving invoice registration efficiency and reducing invoice review risks.

The application discloses a parameterized human body model reconstruction method based on a Chinese database, three-dimensional human body grid data of multiple female naked bodies of different ages, body types and heights are collected to establish a database; point clouds are learned based on BPS, SMPL model grid points are respectively roughly registered to the vicinity of each three-dimensional human body grid point to generate corresponding rough registration models; then, a non-rigid grid registration algorithm based on an ICP algorithm is used to finely register each rough registration model to generate corresponding SMPLD models; each SMPLD model is corrected in a standard standing posture, and then PCA principal component analysis is performed on each SMPLD model after the standing posture correction, a plurality of principal component proportions obtained are used as body parameters of a parameterized human body model adapted to Chinese body shapes, original posture parameters of the SMPL model are used as posture parameters of the parameterized human body model adapted to Chinese body shapes, and a final parameterized human body model is constructed.

The invention discloses a multi-stage depth feature face recognition method and device based on edge calculation, equipment and a medium, and is suitable for edge equipment with limited resources. The method comprises the following steps: detecting an input image through a lightweight face detection network with a multi-scale feature pyramid structure, and outputting a face bounding box and confidence; cutting the face area according to the bounding box and carrying out standardization processing; inputting the standardized image into a deep residual convolutional neural network, and extracting a normalized feature vector; adopting a distributed vector database to construct a face feature library for partition isolation management to store the vector; and receiving a to-be-recognized face image, obtaining a normalized feature vector of the to-be-recognized face image, performing matching in the feature library based on the feature similarity, and outputting a recognition result. The method does not need to depend on the cloud, improves the recognition real-time performance and the data security, achieves high-precision recognition in a complex scene, and is suitable for edge computing scenes such as security monitoring and access control management.

This invention discloses a registration system and method for oral implant surgery, characterized by comprising: a registration instrument and a navigation device communicatively connected to the registration instrument; the registration instrument includes an instrument acquisition unit and a control circuit, the tip of the instrument acquisition unit is provided with a tip contact sensor, and the control circuit is connected to the tip contact sensor; wherein, the tip contact sensor is used to generate a tip sensing signal when it detects that the tip of the instrument acquisition unit contacts the target acquisition object; the control circuit is used to acquire the tip sensing signal and send the tip sensing signal to the navigation device; and registers the actual position of the registration instrument and the instrument navigation position of the registration instrument according to the contact position information, thereby optimizing the way the operator collects registration points in the patient's mouth, achieving the technical effect of safely and quickly completing the collection of registration points, thereby improving registration efficiency and shortening registration time.

The application discloses a point cloud data registration method and system, electronic equipment and a storage medium, and the method comprises the following steps: acquiring a model point cloud of a three-dimensional model of a scene and a scene point cloud; performing plane feature extraction on the model point cloud and the scene point cloud to obtain a model point cloud plane feature set and a scene point cloud plane feature set respectively; performing line feature extraction on the model point cloud and the scene point cloud according to the two feature sets to obtain a corresponding model point cloud line feature set and a scene point cloud line feature set; performing feature matching on the model point cloud and the scene point cloud based on the model point cloud plane feature set, the scene point cloud plane feature set, the model point cloud line feature set and the scene point cloud line feature set to determine a feature matching relationship; and determining a coordinate transformation relationship of the model point cloud and the scene point cloud based on the feature matching relationship to register the model point cloud and the scene point cloud. Through the above method, the registration between the three-dimensional model and the point cloud can be realized through the plane feature and the line feature, and the registration efficiency is improved.

The invention relates to a heterogeneous resource-oriented virtual power plant standardized information model and an automatic registration method, and belongs to the technical field of energy internet and virtual power plants. The method comprises the steps that a unified information description framework is determined, a modular architecture is constructed, a standardized information model is established, and meanwhile semantic labels are given to data elements to form a machine-readable semantic identification system; the resource end generates and reports a modular information packet according to the model, and the platform performs automatic analysis, matching and instantiation on the information packet based on a semantic system to form a standard resource object containing static attributes and a dynamic service interface; and performing multiple verification of data integrity, logic consistency and service interface accessibility on the resource object, and after the verification is passed, completing resource storage, index construction, global unique identifier allocation and schedulable state activation. Plug and play and efficient automatic registration of heterogeneous resources are realized, and the access efficiency, the management precision and the system compatibility of the virtual power plant are improved.

The embodiment of the invention discloses a registration optimization method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of communication. The method comprises the following steps: recording failure context information when UE (User Equipment) fails to register to a network side by adopting a GUTI (Global Unique Temporary Identifier); analyzing an initial registration failure reason based on the failure context information; determining an initial registration optimization strategy according to the initial registration failure reason, and executing the initial registration optimization strategy; wherein when the reason for the initial registration failure is context failure, the initial registration optimization strategy comprises the step of initiating registration to the network side by adopting a subscription encryption identifier (SUCI). According to the scheme, the registration failure reason can be analyzed, registration optimization can be carried out, and repeated GUTI registration retry is avoided.

The application relates to the technical field of elevator registration management, and discloses an elevator individualization and terminal collector parallel registration method and system, which comprises the following modules: a registration module configured to bind device information with the unique identifier of a terminal collector to be registered; a parallel processing module configured to determine the initial registration response time of an elevator to be registered and a terminal collector to be registered based on an analysis result; a judgment optimization module configured to determine the optimization coefficient of the initial registration response time according to a comparison result and obtain an optimized registration response time; and a judgment compensation module configured to determine the compensation coefficient of the optimized registration response time according to device load information and determine a compensated registration response time. The application realizes a fast and accurate registration process of an elevator and a terminal collector. Through the registration module, the individualization information of the elevator and the device information of the terminal collector can be accurately bound to the corresponding unique identifier.

This invention relates to the field of computers, providing a method, apparatus, electronic device, and storage medium for server and network interface card (NIC) association registration. The method involves obtaining the address information of each server to be registered when it connects to a central control platform via a first switch; obtaining the address information of each smart NIC to be registered when it connects to the central control platform via a second switch, wherein each server to be registered has at least one smart NIC to be registered; after powering down each server to be registered, a connectivity check is performed on each smart NIC to be registered, and each unconnected smart NIC is designated as an associated smart NIC of the server to be registered, resulting in a complete list of associated smart NICs for each server to be registered; the address information of each server to be registered is associated with the address information of all its associated smart NICs and persistently processed to obtain an association registration information table. This achieves automatic association registration between the server and the smart NIC.

The invention discloses a chip image registration method and device, equipment and a storage medium, and relates to the technical field of image processing, and the chip image registration method comprises the steps: obtaining a chip image which comprises first resolution image information; performing down-sampling on the chip image to obtain second resolution image information corresponding to the chip image; the second resolution corresponding to the second resolution image information is smaller than the first resolution corresponding to the first resolution image information; performing first registration verification on the chip image according to the second resolution image information to obtain a first verification value, and responding to the condition that the first verification value is greater than a first verification threshold to obtain target registration information; or, in response to the fact that the first verification value is smaller than the first verification threshold value, second registration verification is conducted on the chip image according to the first resolution image information, and target registration information is obtained. Through the above mode, registration is carried out in combination with images with different resolutions, and on the premise of ensuring the registration precision, the registration operand is reduced, and the registration efficiency is improved.

The application provides a registration method, a wireless detonator system, equipment and a storage medium, relates to the technical field of electronic detonators, and the registration method applies the wireless detonator system; the system comprises a wireless initiator and at least one wireless electronic detonator, and the wireless initiator is in communication connection with the at least one wireless electronic detonator; the method comprises the following steps: based on triggering, self-detection is carried out by the wireless electronic detonator to obtain self-detection information, and the self-detection information is sent to the wireless initiator; wherein the self-detection information comprises an identity of the wireless electronic detonator; the wireless initiator receives the self-detection information, adds the identity to a registration database, and completes registration. Without registration through scanning of a two-dimensional code on a foot line, there is no need to worry about wear of the two-dimensional code, the initiator or the register can be hung on the waist or placed in the signal range of the wireless detonator during construction, automatic registration can be realized, registration cost is reduced, and construction efficiency is greatly improved.

The embodiment of the invention provides a fingerprint processing method and device and electronic equipment, and the method comprises the steps: collecting fingerprint data according to a first frame rate through a fingerprint sensor in a fingerprint template registration process, and enabling each frame of fingerprint data to comprise a plurality of sub-data of different phases; comparing the difference between the two sub-data of different phases acquired based on the same configuration to obtain the motion ambiguity of the frame of fingerprint data; and performing fingerprint template registration according to the motion ambiguity of the frame of fingerprint data. By adopting the embodiment of the invention, the finger can be in continuous contact with the fingerprint acquisition area and move in the fingerprint template registration process, and is not limited to repeated pressing and hand raising modes, so that the user input flexibility in the fingerprint template registration can be improved, the fingerprint template registration efficiency can be improved, and the quality of the registered fingerprint template can be ensured.

The embodiment of the invention provides an image registration method, device and equipment. The method comprises the following steps: acquiring a plurality of to-be-registered images; wherein the to-be-registered image has a position relationship; performing classification processing on the to-be-registered image to obtain a feature-rich image and a feature-sparse image; based on the position relation of the feature sparse image, determining a feature rich image adjacent to the feature sparse image; determining a homography matrix of the adjacent images with rich features; determining a homography matrix of the feature sparse image according to the homography matrix of the adjacent feature rich images; and performing registration processing on the image to be registered according to the homography matrix to obtain a registered image. The method is used for achieving the effect of improving the reliability of image registration.

The application discloses a prefabricated component size quality detection system based on vision, and belongs to the technical field of industrial automatic detection and machine vision. The system comprises an image acquisition device, a memory and a processor. The image acquisition device is used for acquiring multi-view source images and depth information of the prefabricated component. The memory is used for storing a computer program and design data of the prefabricated component. The processor is configured to extract three-dimensional contour information and generate a component contour coordinate set, screen a key control point set according to a preset geometric feature rule, perform coordinate system registration on the key control point and a design coordinate parameter by using a registration algorithm, calculate an actual deviation value, compare the deviation value with a preset tolerance, group abnormal points by using a density-based three-dimensional space clustering algorithm, and generate an abnormal area distribution map, and generate a structured evaluation report in combination with a theoretical parameter. The application realizes automatic and high-precision detection of the size of the prefabricated component.