6 results about "Point match" patented technology

This invention discloses an industrial Internet of Things (IIoT) platform, relating to the field of IIoT technology, comprising a point modeling module, a business analysis module, a point matching module, a state chain generation module, a state chain operation module, a topic scheduling module, a linkage action orchestration module, and an execution receipt verification module. The point modeling module generates point information, point reliability, and on-site message data; the business analysis module generates a business requirement diagram; the point matching module generates point binding relationships; the state chain generation module generates a state chain; the state chain operation module calculates state satisfaction values ​​and valid state satisfaction values, and generates state correction results; the topic scheduling module determines message transmission strategies; the linkage action orchestration module generates on-site control commands; and the execution receipt verification module confirms the execution status and generates a receipt correction action. This invention improves the consistency and traceability of business state transitions, anomaly correction, and action execution confirmation.

The invention relates to an antenna grid installation method for antenna layout design, and belongs to the technical field of electromagnetic compatibility and antennae, and the method comprises the steps: importing a grid model file of a large-size platform and an antenna, and reading a grid model to obtain a point coordinate list and a triangular unit list of the platform and the antenna; reading a starting point coordinate, a termination point coordinate, a voltage amplitude and a phase of an excitation voltage source of the antenna; establishing an antenna initial coordinate system, setting the main radiation direction of the antenna to establish a surface local coordinate system on the surface of the platform, and performing point matching on the model; and mounting the antenna grid model and the excitation source on the surface of the platform. According to the method, direct processing of complex grids is supported, limitation of traditional CAD modeling is broken through, subdivided discrete grids can be directly operated, and model reconstruction is avoided; through normal offset control and local coordinate system mapping, the normal function of the installed antenna is ensured, and the installation efficiency can be significantly improved on the premise of maintaining high-precision electromagnetic characteristics.

The invention discloses an acupuncture point recognition system based on artificial intelligence, which belongs to the technical field of intelligent medical treatment and comprises a data construction module, an intelligent acupoint matching recommendation module, a three-dimensional acupoint positioning module and a recognition report generation module. An intelligent acupoint matching recommendation method combining meridian acupoint association reasoning and multi-factor comprehensive evaluation is adopted, systematic acupoint matching reasoning is carried out according to a meridian conduction relation on the basis of integrating patient chief complaint symptoms, accompanying symptoms and individual signs, and a target acupoint combination conforming to individual differences is generated; a three-dimensional acupoint positioning method combining acupoint matching prior constraint and thermal anomaly analysis is adopted, on the premise that a target acupoint is determined, effective convergence is conducted on the individual body surface range, fine correction is conducted on the acupoint position in combination with the body surface temperature change characteristics, and therefore a three-dimensional acupoint positioning result better conforming to the individual characteristics and the meridian trend of a patient is obtained.

The invention discloses an axis track measuring device based on an image processing three-point method, and the device comprises a video collection unit which comprises a camera and an LED light source which are fixedly disposed outside an observation surface, and is used for collecting a real-time image of a three-point mark on a rotor; the three-point marking structure comprises a rotor, a rotor sleeve arranged on the periphery of the rotor and a plurality of non-collinear marking points on the periphery of the outer edge of the end face of the rotor sleeve. The image processing unit comprises a preprocessing module, an edge detection module, a Hough circle identification module and a three-point matching module, and is used for processing the acquired image, identifying a mark point and extracting a pixel coordinate of the mark point; the calibration module is used for performing camera internal and external parameter calibration and distortion correction, and establishing a mapping relation from an image coordinate to a real physical space; the track resolving module is used for calculating an axis track point sequence based on a three-point circumcircle geometric method; the invention further discloses an axis track measuring method based on the image processing three-point method, and the influence of external interference factors on a traditional sensor during installation and measurement is avoided.

The invention discloses an over-point matching pair geometric optimization method in point cloud registration and a point cloud registration method, and belongs to the technical field of three-dimensional computer vision and point cloud processing. Firstly, inner point expansion is performed on an initial overpoint matching pair set based on a distance consistency criterion, and the number of reliable matching pairs is increased; and then, by using the expanded inner point set as a seed, accurately reasoning an overlapping region from the original point cloud through a region growing algorithm, and performing down-sampling on the region again so as to improve the overlapping quality of the super-point neighborhood block. According to the method, through collaborative optimization of interior point generation and overlapping region resampling, double improvement of the number and quality of super-point matching pairs is realized, and the registration success rate and precision of low-overlapping point clouds can be remarkably improved.

Certain aspects and features of this disclosure relate to providing a hybrid approach for camera pose estimation using a deep learning-based image matcher and a match refinement procedure. The image matcher takes an image pair as an input and estimates coarse point-to-point feature matches between the two images. The coarse point-to-point feature matches can be filtered based on a stability threshold to produce high-stability point-to-point matches. A perspective-n-point (PnP) camera pose for each frame of video, including one or more added digital visual elements can be computed using the high-stability matches and video frames can be rendered, each using its computed camera pose.