10 results about "Point registration" patented technology

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.

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.

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.

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

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 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.