5results about How to "Improve model quality" patented technology

The invention relates to the technical field of airborne system design, and discloses an airborne system model modeling rule making method and device, equipment and a medium, which can deeply fuse airborne system design multi-source heterogeneous knowledge, automatically generate executable modeling rules, improve airborne system design efficiency and model quality, and improve airborne system design efficiency and model quality. The problem that modeling rules are inconsistent due to the fact that traditional modeling rules depend on artificial experience is solved, and standardization, consistency and quality control efficiency of airborne system design are improved.

The application provides a kind of adaptive 3D grid reconstruction and error compensation method for die frame square iron reverse engineering, including using laser scanner to carry out 360 ° scanning on die frame square iron to obtain original point cloud data, and the original point cloud data is registered to the same coordinate system, the original point cloud data is processed by multi-scale bilateral filtering, while constructing point cloud quality evaluation field, identifying data missing area and edge aliasing area, generating point cloud confidence weight map, establishing octree space index and calculating structure tensor to obtain principal curvature value, based on principal curvature and confidence weight, the square iron surface is divided into large plane area, transition feature area and boundary feature area, and the geometric topology skeleton line is extracted.The application decomposes the deviation into systematic error and random error and carries out reverse correction, which not only eliminates the overall deformation error of the workpiece, but also retains the real machining texture, realizes high-quality reverse reconstruction.

This invention provides a fully automated laser scanning detection system and method for tunnels and chambers, belonging to the field of underground space exploration technology. The system includes: a drone, a multi-sensor fusion positioning module, a 3D laser scanner, an adaptive environmental perception and obstacle avoidance module, and a ground control station. The multi-sensor fusion positioning module provides high-precision pose information in environments without GPS signals; the 3D laser scanner collects laser point cloud data of the tunnels and chambers; and the adaptive environmental perception and obstacle avoidance module senses changes in dust and illumination in real time and plans a safe flight path. This invention effectively overcomes the challenges of complex environments such as GPS rejection, uneven illumination, and dust interference within tunnels through multi-source data fusion and adaptive algorithms. It achieves fully automated, high-precision, and high-efficiency 3D topographic detection in areas inaccessible to personnel, providing a reliable technical means for monitoring surrounding rock deformation and assessing risks in goaf areas.

The invention relates to a speaking face video generation method based on neural radiation field spatial position optimization. The method comprises the following steps: extracting voice information and a face image area from a reference video; sampling the face image area of the first video frame, and tracking the position of a sampling point on a subsequent video frame; determining N sampling points as two-dimensional key points; defining N three-dimensional space key points in the three-dimensional space, and mapping the three-dimensional space key points to an image plane where the sampling points are located by combining the camera external parameters, the camera internal parameters and the rotation translation parameters of the space points to generate N two-dimensional plane points; calculating Euclidean distances between the N two-dimensional key points and the N two-dimensional plane points, and adjusting related parameters and three-dimensional space key point positions; obtaining a three-dimensional face reconstruction model of the target face; and generating a speaking face video of the target face under the target view angle and the target voice information based on the target view angle, the target voice information and the three-dimensional face reconstruction model of the target face.

The application discloses a question recommendation method based on a schema in a question and answer community, and the steps include: 1, collecting data and constructing a question and answer community network; 2, using a schema mining algorithm to mine the schema in the user network, and constructing a schema network based on the schema; 3, using a network embedding learning algorithm to learn the node embedding of the network, and learning the preferences of the answerer for the questioner and the question; 4, fusing the preferences of the answerer in two aspects, using a scoring function to predict the matching degree of the answerer for a new question, arranging the answerer in descending order according to the matching score, and recommending the first N users to answer the question, so as to complete the question recommendation task. The application combines the schema mining algorithm and the embedding learning algorithm of the schema network, fully captures the historical interaction information of the users in the schema network by using the graph neural network, and fully fuses the personal feature information, network structure information and text semantic information of the users, so that more accurate recommendation effect is realized.