2results about How to "Precise registration" patented technology

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.

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.