32 results about "Point registration" patented technology

To provide a system that allows an operator to instantly grasp, without wasting time, whether the operator can get to a place where action is needed in time.SOLUTION: An information processing device comprises: a device registration unit that registers information about a device; a target point registration unit that registers a target point; a determination target device registration unit that associates the target point with the device; a positional information acquisition unit that acquires positional information of the device; a passage determination unit that determines whether the device has passed a target point based on the positional information of the device registered as a determination target device among a plurality of devices registered in the device registration unit; and a display processing unit that displays the target point on a map in a state where it is possible to discriminate whether the device has passed through it or not.SELECTED DRAWING: Figure 1

This application belongs to the field of computer vision and optical measurement technology, specifically disclosing a point cloud stitching method and apparatus based on monocular pose prior marker matching. The method includes: calculating the pose of multiple markers extracted from left and right camera images, determining the normal vector and three-dimensional coordinates of each marker's circular cross-section in its respective camera coordinate system; transforming the three-dimensional coordinates and corresponding normal vectors of each marker in either the left or right camera image to the other camera coordinate system for marker point registration between the left and right camera images; the circular cross-section is a circular cross-section in three-dimensional space with the origin of the camera coordinate system as its vertex, passing through the elliptical curve where the marker is located; and stitching the three-dimensional point cloud of markers based on the marker point registration results of the left and right camera images. This application can significantly improve the accuracy of binocular stereo marker matching and the system's anti-interference capability in complex industrial scenarios.

To provide a technology capable of supporting shortening settlement time.SOLUTION: An information processing apparatus comprises a member information processing unit, a payment information processing unit, a point information processing unit, a registration information processing unit, and an output unit. The member information processing unit acquires member identification information of waiting users who are waiting to be processed by a payment processing apparatus. The payment information processing unit acquires information regarding the payment method of the waiting user. The point information processing unit acquires information regarding the point registration of the waiting user. The registration information processing unit registers the member identification information, the information regarding the payment method, and the information regarding the point registration as waiting user registration information. The output unit outputs the waiting user registration information to the payment processing apparatus.SELECTED DRAWING: Figure 5

Service interfaces and data topics can be discovered and retrieved so as to bridge different industrial automation ecosystems, programming languages, platforms, and the like, together. For example, nodes of one ecosystem can discover endpoints (e.g., interfaces and topics) across heterogeneous incompatible ecosystems, without changing the ecosystem. Further, endpoint descriptions are managed across heterogeneous incompatible ecosystems. Endpoint descriptions can be automatically generated based on interface and topic description in an interface description file. Such descriptions can also be automatically exported into registries of other ecosystems.

The application discloses a kind of user credential dynamic updating cross-domain authentication system and method based on blockchain, system includes user and terminal, and blockchain module, the blockchain module includes: block storage module, set multiple blocks, each block stores blockchain transaction data and version data;Intelligent contract registration verification module, according to user and terminal and registration node carry out single-point registration, while user and terminal and registration node and each blockchain node carry out multi-point authentication between each other.This scheme solves the problem that public key certificate is static and easy to be analyzed by enemy when traditional public key signature verification method is used for cross-domain authentication, the problem that public key certificate exposure surface is difficult to control caused by cross-domain authentication certificate circulation, the problem that certificate update process is complex, and the problem that single sign-on fails and single-point data is lost.

Device and method for processing handwriting input with stroke prediction The invention relates to a method and a computing device (DV1) for processing handwriting (HW) comprising strokes (ST) of digital ink, each stroke comprising at least one point (PT). The method comprises: registering first points (PT1) as motion events; displaying, as a first stroke portion, second points (PT1a) comprising at least part of the first points (PT1); determining an integer N1 of the most recent first points (PT1c) registered over a predetermined time window; computing a confidence score (CF) based at least on a curvature score (SC1) representative of a curvature of the N1 most recent first points (PT1c); setting, based on the confidence score (CF), an integer N2 defining a prediction window; and controlling a dynamic prediction process (15) as a function of the integer N2, comprising, if N2 ≥ 1, predicting as a stroke prediction, based on features of the N1 most recent first points (PT1c), N2 next points (PT2) that are expected to be displayed subsequently to the N1 most recent first points.

A registration method for spatial points of a medical assistant robotic arm. On the basis of an infrared mark, accurate registration of different device spatial points is achieved by means of rotary registration. The method comprises: for a medical assistant robotic arm device, fixing an infrared mark to the tail end of a robotic arm; rotating a tail-end shaft under the condition of two different poses at the same position; using an infrared camera to record the position of the infrared mark, respectively fitting circles, and calculating the axes on which the centers of the circles are located; and finally, determining the intersection point of the two axes, and registering same as a tool center point of the robotic arm. The method is simply and easily operated, acheives high precision, and significantly improves the registration accuracy and reliability of spatial points of medical devices.

The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for providing a fool proof biometric registration and / or verification system. The system and method enables registration by selecting a certain set of images of a user, extracting variations of feature vectors and storing the set of images to represent the user in the recognition system database. The system providing a fool-proof system to register personnel across different locations maintaining consistency and quality of data collected.

This application belongs to the field of computer vision technology and discloses a laser semantic simultaneous localization and mapping method based on multi-corresponding point collaborative registration, including: mapping lidar point cloud data onto a bird's-eye polar coordinate system and extracting per-point high-dimensional features; inputting the high-dimensional features into a U-shaped network to predict corresponding class labels for each lidar point cloud, and dividing the point cloud into static point cloud, dynamic point cloud, and ground point cloud according to the labels; using keypoint convolution and attention mechanism to synchronously capture node features within and between static point cloud frames; using the node features of intra-frame and inter-frame nodes to construct a relaxation similarity matrix and solve the optimal matching relationship of cross-frame nodes; searching for precise corresponding relationships of local point clouds and resolving pose estimation, and simultaneously optimizing the pose in collaboration with the ground point cloud registration method. This application realizes high-precision three-dimensional motion estimation and map construction in dynamic complex scenarios through a semantic-guided multi-level corresponding point registration mechanism.

The present invention belongs to the technical field of point cloud data processing, and specifically relates to a cross-platform laser point cloud data registration quality evaluation method, which includes the following steps: extracting spatial geometric features of points, lines, and planes from the laser point clouds acquired on each platform after cross-platform laser point cloud registration; constructing a cross-platform laser point registration quality evaluation index based on spatial point features, a cross-platform laser point registration quality evaluation index based on spatial line features, and a cross-platform laser point registration quality evaluation index based on spatial plane features, and combining them to form a cross-platform laser point cloud registration quality evaluation index based on spatial features; and performing a comprehensive metric evaluation of the cross-platform laser point cloud registration quality after cross-platform laser point cloud registration using the cross-platform laser point cloud registration quality evaluation index based on spatial features. The present invention can more comprehensively and accurately evaluate the quality of multi-source point cloud data registration.

The invention provides a node registration method, system and device, a medium and a product. The method comprises the steps that a building management system (BMS) sends a creation request to a remote communication LoRa gateway, the creation request comprises registration information of a first LoRa node, and the LoRa gateway is used for managing the first LoRa node; receiving a creation response sent by the LoRa gateway, the creation response being used for indicating successful registration according to the registration information of the first LoRa node; and creating a first device object and a first data object, the first device object being a software abstract model of the first LoRa node, the first data object being used for storing information of the first LoRa node, and the first device object being associated with the first data object.

The present invention comprises a control unit that is capable of registering, in a welding processing program, a teaching point for a welding robot that holds a welding torch capable of irradiating a workpiece with laser light. The control unit is configured to be capable of executing: a teaching point candidate reception process for receiving a candidate for the teaching point, the candidate being designated by a user; a plane intersection assessment process for assessing whether the placement surface on which the workpiece is placed and the trajectory of the laser light when the laser light is emitted at the received teaching point candidate intersect; and a teaching point registration process for registering the teaching point candidate in the welding processing program as the teaching point for the welding robot when it is assessed in the plane intersection assessment process that the placement surface and the trajectory intersect.

To provide a control device, a welding processing system, a teaching point determination method, and a teaching point determination program capable of preventing dangerous teaching points from being registered in a welding processing program.SOLUTION: A control device includes a control unit capable of registering teaching points of a welding robot which holds a welding torch capable of irradiating a workpiece with laser light into a welding processing program. The control unit is configured to be able to execute: a teaching point candidate reception process of receiving a candidate of a teaching point specified by a user; a plane intersection determination process of determining whether or not a placement surface on which the workpiece is placed and a trajectory of the laser light, when the laser light is radiated at the received teaching point candidate, intersect with each other; and a teaching point registration process of registering the teaching point candidate as the teaching point of the welding robot in the welding processing program when it is determined that the placement surface and the trajectory intersect with each other in the plane intersection determination process.SELECTED DRAWING: Figure 1

The invention relates to a method and a computing device (DV1) for processing handwriting (HW) comprising strokes (ST) of digital ink, each stroke comprising at least one point (PT). The method comprises: registering first points (PT1) as motion events; displaying, as a first stroke portion, second points (PT1a) comprising at least part of the first points (PT1); determining an integer N1 of the most recent first points (PT1c) registered over a predetermined time window; computing a confidence score (CF) based at least on a curvature score (SC1) representative of a curvature of the N1 most recent first points (PT1c); setting, based on the confidence score (CF), an integer N2 defining a prediction window; and controlling a dynamic prediction process (15) as a function of the integer N2, comprising, if N2 ≥ 1, predicting as a stroke prediction, based on features of the N1 most recent first points (PT1c), N2 next points (PT2) that are expected to be displayed subsequently to the N1 most recent first points.

The invention provides an electromagnetic surgical navigation system and a registration method. The system comprises an electromagnetic tracking system and a host, the electromagnetic tracking system can track the spatial position of the electromagnetic positioning structure in the registration-free mark; the host is used for executing the following contents: receiving a medical image, and extracting the position of the developing structure in the registration-free mark in a medical image space; acquiring the position of the electromagnetic positioning structure in the registration-free mark in an electromagnetic navigation space; and performing registration according to the position of the developing structure in the medical image space and the position of the electromagnetic positioning structure in the electromagnetic navigation space to obtain a conversion relation between the medical image space and the electromagnetic navigation space. According to the method, automatic registration can be supported, the point selection registration operation of a doctor is omitted, the registration process is not blocked by the sight line, the position of the electromagnetic positioning structure can be tracked in real time in the subsequent surgical navigation process, and whether a patient moves or not can be monitored conveniently.

The application discloses a kind of based on double lens coordinate system conversion method, equipment and medium, method includes: through wide-angle lens acquisition first video image, and through zoom lens acquisition second video image, in first video image select first group of registration points meeting preset condition, and in second video image select second group of registration points corresponding to the first group of registration points, first group of registration points is normalized, and constructs wide-angle registration coordinate system, second group of registration points is normalized, and constructs zoom registration coordinate system;Determine that zoom lens exists zoom, and obtain coordinate system conversion instruction, according to coordinate system conversion instruction and wide-angle registration coordinate system and zoom registration coordinate system, carry out coordinate system conversion processing.Through two-point registration method, for security equipment wide-angle and zoom two lens cooperative positioning provides the method of fast registration.Reduces the complexity of registration and calculation.Provides effective method for the linkage between two lenses.

To provide a feature point registration device capable of supporting the selection of feature points to be registered by a user as templates by visualizing feature points extracted from each of the multiple images of the object.SOLUTION: The feature point registration device includes: an image filter that performs a series of image conversion processing on multiple different input images of the object by using parameters; a feature point extraction unit that extracts multiple feature points related to the object from multiple different conversion-processed images which are input images after the image conversion processing; an output unit that generates a feature point image in which multiple feature points extracted from one of multiple differently transformed images are superimposed and outputs a screen that includes at least a feature point image and a parameter adjustment bar on a display unit; and an input interface for receiving operations by a user. The output unit updates the feature point image based on the parameters after parameters are changed by the user on the adjustment bar and outputs the screen on the display unit.SELECTED DRAWING: Figure 5

Systems and methods for registering a plurality of medical images are provided. A plurality of partial point clouds of anatomical objects is received. Each of the plurality of partial point clouds is extracted from a respective one of a plurality of medical images. A set of missing points is generated for each of the plurality of partial point clouds. A measure of certainty is generated for each point in 1) the plurality of partial point clouds and 2) the sets of missing points. One or more transformations aligning the plurality of partial point clouds is determined based on the measures of certainty using a machine learning based point registration network for registering the plurality of medical images. The one or more transformations are output.

The invention relates to the technical field of deep learning, in particular to a multi-view radar point cloud registration system, which comprises an encoder for extracting multi-view point cloud features from input incomplete point cloud; the point registration module is used for performing dynamic information screening on the multi-view point cloud features by adopting a gating circulation unit configured with confidence gating to complete point cloud registration so as to obtain point cloud registration features; the point offset module is used for performing offset optimization on the point cloud registration features by adopting an attention mechanism, determining point positions in the point cloud registration features and outputting offset optimization features; and the decoder is used for decoding the offset optimization features to obtain the registered output point cloud. According to the invention, interaction among points is utilized, multiple confidence gates are added in the point registration module, the accuracy of reset, update and output parts is further controlled, and the precision of point position movement is improved; according to the point bias module provided by the invention, the possibility of the point position is further enhanced, and the registration effect is improved.

The present invention discloses a point-to-point registration method, which includes Step 1: making a registration plate with a material having good X-ray transparency, and randomly placing n objects P1, P2,..., Pn capable of extracting and determining coordinates. Step 2: using a C-arm machine to perform fluoroscopic imaging, transmitting the captured fluoroscopic image into a PC, preprocessing the image, and then obtaining the center coordinates C1, C2,..., Cn of the projections of the steel balls in the fluoroscopic image. Step 3: measuring and obtaining the three-dimensional positions of the centers of the steel balls on the registration plate with any point on the registration plate as the origin, taking the direction perpendicular to the registration plate as the Z direction, such as P1(x1, y1, z1), P2(x2, y3, z2),..., Pn(xn, yn, zn), and mapping P1(x1, y1, z1), P2(x2, y3, z2),..., Pn(xn, yn, zn) to a two-dimensional plane; through the implementation of the present invention, the registration accuracy between the feature points in the perspective view and the feature points in the model is not affected by factors such as the occlusion of key steel balls and different poses of the model, and both the practicability and applicability are relatively strong, achieving a prominent progress and having certain use value and promotion value.

The invention discloses a mixed reality optical localization arbitrary sequence four-point registration navigation method and system, and belongs to the technical field of image processing and space registration. The method comprises the following steps: reconstructing a three-dimensional model of a target part according to MRI or CT image data; arranging at least four physical mark points which can be identified by an optical positioning system on the surface of the target area, and acquiring three-dimensional coordinate data of each mark point through an optical tracking system; selecting at least four physical mark points in any sequence to form a registration point set; identifying a corresponding relationship between the physical mark points selected in any sequence and the corresponding mark points in the three-dimensional model; and calculating a coordinate transformation matrix between a real coordinate system and a virtual model coordinate system according to the rigid body transformation parameters. According to the technical scheme, the flexibility and precision of the registration process are improved, the operation difficulty is reduced, the system robustness is enhanced, and it is ensured that accurate mapping between the real space and the virtual space is efficiently achieved.

The invention provides a defect detection method and system based on feature point registration, and relates to the technical field of industrial panel defect detection, and the method comprises the steps: presetting feature points according to the geometric features of a television backboard, and carrying out the target detection of a template image of the television backboard and a to-be-registered image through a target detection model, obtaining a target detection result of the template image and the to-be-registered image about the feature points; according to a target detection result of the template image and the to-be-registered image about the feature points, constructing a corresponding relation of the feature points by adopting a direct linear transformation algorithm; performing image transformation on the to-be-registered image according to the corresponding relation of the feature points to obtain a to-be-detected registered image; and performing similarity detection on the template image of the television backboard and the to-be-detected registration image to obtain a defect detection result. According to the method, target detection and homography matrix calculation are combined, and the problems that a defect detection technology is poor in detection efficiency, low in detection precision and poor in applicability are solved.

A recording medium and an information processing device. The recording medium has recorded a program that causes a computer to function as: a save accepting unit that accepts a saving operation from a player on a play screen of a game; a registration unit that registers, as saved data, progress of the game at timing when the saving operation is performed, every time the saving operation is performed; a load accepting unit that accepts a load operation of the saved data from the player on the play screen; and a control unit that loads the registered saved data in chronological order every time the load operation is performed, and restarts the game by switching the play screen.

1. Name of the product in this design: Graphical User Interface for Mind Map Marker Registration in Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photo that best illustrates the design points: Interface change state diagram 2. 5. Purpose of the graphical user interface: This design is used as a human-computer interaction interface to display the registration process of markers corresponding to target points on a mind map model. The main view displays the information interface of the brain map model marked with target points. The left side shows the brain map model marked with target points, the center shows the target point information, and the right side shows the stimulation parameters based on the target point. Clicking the "Confirm" button in the lower right corner of the main view leads to interface state diagram 1. Interface state diagram 1 mainly displays the markers added to the brain map model corresponding to the target points. The left side shows the brain map model with added markers, and the right side shows the marker cards. Clicking the "Next" button in the lower right corner of interface state diagram 1 leads to interface state diagram 2. Interface state diagram 2 mainly displays the interface for registering markers. The left side shows the brain map model with markers and highlights the markers currently to be registered, while the center shows the camera... The system displays the camera's recognition range and the real-time position of the tracked object within that range. Marker cards are displayed on the right, with currently registered marker cards highlighted. Clicking the "Register" button in the lower right corner of interface state diagram 2 registers the current marker. After registration, interface state diagram 3 appears, with the "Next" button in the lower right corner lit up. Clicking the "Next" button again leads to interface state diagram 4. Interface state diagram 4 primarily displays the registration verification results of the markers after registration. Its left side displays a mind map model with markers, the middle shows the camera's recognition range and the real-time position of the tracked object within that range, and the right side displays the registration verification results.

The application discloses a point cloud registration hardware acceleration method and system for orthopedic surgery navigation, relates to the field of registration space registration technology in medical surgery, and solves the problems of high point cloud registration calculation cost, long time consumption and low registration accuracy of the existing orthopedic surgery navigation space registration algorithm, and the scheme points are as follows: acquiring actual registered bone point cloud data in an electromagnetic positioning system; importing the bone point cloud data into an FPGA; performing point cloud coarse registration on the bone point cloud data based on a DSP module to obtain an initial transformation matrix; performing point cloud fine registration based on the initial transformation matrix to obtain an optimal transformation matrix; wherein K-D tree point cloud data topology structure construction and nearest neighbor point search are respectively performed by a tree topology structure data module and a nearest neighbor point search module in the FPGA, and the remaining steps are performed by an embedded CPU in the FPGA; coarse registration and fine registration are combined with FPGA acceleration, so that the cost is reduced, the point registration speed is accelerated, and the registration accuracy is improved.

The invention relates to a feature point registration-based camera labeling area automatic correction algorithm, and relates to the technical field of image data processing. The method comprises the following steps: acquiring a reference image before offset of a camera and an offset image after offset of the camera, wherein the reference image comprises a pre-labeled region of interest; performing feature extraction and feature point matching on the reference image and the offset image to obtain feature point position information and a matching relationship; on the basis of the feature point matching relationship, carrying out region correction on the pre-marked region of interest to obtain a corrected region of interest; and outputting a correction result, wherein the correction result comprises the corrected coordinate information of the region of interest. The method has the effect of solving the problem of camera offset as much as possible.

This invention relates to the field of deep learning technology, and more particularly to a multi-view radar point cloud registration system. The system includes: an encoder, which extracts multi-view point cloud features from an input incomplete point cloud; a point registration module, which uses a gated loop unit configured with confidence gating to dynamically filter the multi-view point cloud features to complete point cloud registration, obtaining point cloud registration features; a point bias module, which uses an attention mechanism to perform bias optimization on the point cloud registration features, determines the point positions in the point cloud registration features, and outputs bias-optimized features; and a decoder, which decodes the bias-optimized features to obtain the registered output point cloud. This invention utilizes inter-point interactions and adds multiple confidence gating mechanisms to the point registration module to further control the accuracy of the reset, update, and output parts, improving the precision of point position movement. The point bias module provided by this invention further enhances the probability of point positions, increasing the registration effect.

The application discloses a kind of optical remote sensing data registration methods of micro-nano satellite, storage medium and electronic equipment, it is related to satellite image processing technical field;Same-named point deviation data of registration band data and datum band data is acquired;The distribution of same-named point deviation data is counted, and representative data of same-named point deviation data is acquired;According to representative data, the difference parameter of registration band data relative to datum band data is determined;According to difference parameter, registration band data is registered to datum band data.This application is by the deviation data between band statistics, with the distribution characteristics of data to determine representative data as the representation of all same-named point deviation data, can quickly determine an effective difference parameter to adapt to the adjustment of all same-named point deviation, avoid point-by-point detailed analysis deviation, reduce processing period, can efficiently deal with the processing of a large amount of data, improve the quality of satellite shooting image same-named point registration.

A control device, a welding processing system, a teaching point determination method, and a teaching point determination program that can prevent dangerous teaching points from being registered in a welding processing program. 【Solution means】A control unit capable of registering a teaching point of a welding robot that holds a welding torch capable of irradiating a workpiece with a laser beam in a welding processing program. The control unit includes a teaching point candidate reception process for receiving a candidate for the teaching point designated by a user, a placement surface on which the workpiece is placed, and a plane intersection determination process for determining whether or not the trajectory of the laser beam intersects when the laser beam is irradiated with the received teaching point candidate. In the plane intersection determination process, when it is determined that the placement surface and the trajectory intersect, a teaching point registration process for registering the teaching point candidate as the teaching point of the welding robot in the welding processing program is configured to be executable.

The invention discloses a mark point registration method and device for a polyhedron, equipment and a medium, and belongs to the technical field of computer vision. The method comprises the following steps: acquiring a first world coordinate of a mark point on an initial registration surface of a polyhedron through an optical positioning device; establishing a first registration coordinate system according to the first world coordinate, and obtaining a first existing mark point set in the first registration coordinate system; according to a first registration direction, starting from the initial registration surface, acquiring first registration mark points frame by frame based on the first existing mark point set so as to obtain a first registration mark point set; and determining the first registration mark point set as a mark point registration result of the polyhedron. According to the technical scheme, all real mark points can be accurately recognized, false recognition of false points is effectively reduced, and therefore high-precision registration of the mark points of the polyhedral tool is achieved.