5results about How to "Precise registration" patented technology

The invention provides a security situation awareness method and system based on a three-dimensional GIS and a panoramic video, and the method comprises the steps: constructing a three-dimensional scene model of a monitoring region on a three-dimensional GIS platform, accessing a plurality of cameras and an environment sensor, and achieving the space-time alignment and coordinate unification of a video stream and multi-source sensing data; projecting a video frame to a three-dimensional scene based on internal and external parameters of a camera to generate a panoramic video picture, and performing detection and cross-camera tracking on pedestrians and vehicles by adopting a target detection model to obtain a target three-dimensional track; predicting a target position and local density change by using a time sequence prediction model, judging anomalies including congestion, retention and retrograde driving, and sending out an early warning; camera deployment and cooperative tracking are planned through a point location optimization algorithm, and monitoring blind areas are reduced; the system comprises a data acquisition module, a space-time alignment module, a three-dimensional mapping module, a target detection and tracking module, a situation analysis module, a point location planning module and a situation display module, and can improve the automation and precision of security situation awareness in a complex scene.

The application discloses a kind of based on deep feature fusion's cable membrane structure digital twin model reconstruction method, including survey entity cable membrane space structure, arrangement acquisition station, acquisition cable membrane space structure three-dimensional point cloud data;The three-dimensional point cloud of cable membrane space structure is preprocessed and constructs dataset;RPMNet network architecture is improved, and spatial attention mechanism method is applied to the point cloud feature extraction layer of RPMNet network architecture;The three-dimensional point cloud of cable membrane space structure is finely registered;Based on the three-dimensional registration point cloud of cable membrane space structure, fine model reconstruction is carried out;Deviation analysis is carried out to the fine model reconstruction of cable membrane space structure and theoretical design model.The method realizes the accurate registration of three-dimensional point cloud data of cable membrane space structure, completes the high-fidelity digital twin model reconstruction of entity cable membrane structure space form, has the characteristics of high efficiency, low cost and wide coverage, has good applicability to cable membrane space structure, and can be widely applied to engineering practice.

The invention relates to a registration method for determining a position and orientation of an object relative to a position detection system, wherein the method comprises the following steps: - capturing an image of a surface of the object with an image sensor unit comprising at least one motion sensor and / or at least one position sensor, - determining a capturing position of the image sensor unit in a coordinate system of the position detection system by processing motion sensor signals provided by the motion sensor and / or position signals provided by the position sensor, - generating a surface model of the object photogrammetrically from the captured image, and - transforming the surface model generated photogrammetrically into the coordinate system of the position detection system.

This invention discloses a block-based dynamic registration and quantization method and apparatus for vascular video. The invention includes: firstly, acquiring vascular signals from a target region; generating a dynamic vascular video based on the vascular signals; then, obtaining the positions of motion artifacts in the vascular images of each corresponding frame in the dynamic vascular video; dividing each vascular image with motion artifacts in the dynamic vascular video into several vascular image blocks; and also treating each vascular image without motion artifacts as a single vascular image block; next, acquiring a reference image; registering all image blocks to the reference image; and then quantifying the dynamic changes of the blood vessels, ultimately obtaining the dynamic change curve of the blood vessels over time. This invention achieves accurate registration of vascular dynamics videos containing motion artifacts while preserving the dynamic change information of the blood vessels, thus realizing precise quantification of the vascular dynamic response.

The invention provides a cable three-dimensional imaging method based on tensor coupling and physical constraint, and the method comprises the steps: carrying out the tensor decomposition of terahertz time-domain spectral data and X-ray projection data of a cable, and obtaining a core tensor and a modal basis matrix; registering terahertz three-dimensional imaging data and X-ray three-dimensional imaging data of the cable based on the core tensor and the modal basis matrix; according to the registered terahertz three-dimensional imaging data and the registered X-ray three-dimensional imaging data, generating three-dimensional potential distribution of the cable by using a pre-constructed joint optimization objective function for physical constraint; and based on the three-dimensional potential distribution, generating a dynamic weight through a double-branch convolutional network, and according to the dynamic weight, performing restoration by adopting a weighted difference value and a context sensing network to obtain a three-dimensional image of the cable. Therefore, deep collaborative information among different modal data is fully mined, and the structural integrity and detail definition of the image are remarkably enhanced.