4 results about "Geometric element" patented technology

This application relates to the field of computer-aided design technology, and provides a method, apparatus, terminal device, and storage medium for dragging geometric elements based on differential equations. The method includes: acquiring the starting point, target point, and first constraint conditions corresponding to the geometric element in the user's dragging operation; constructing a target equation based on the starting point, target point, and first constraint conditions; constructing a differential equation based on the target equation; solving the differential equation to obtain multiple intermediate dragging points that satisfy the first constraint conditions; and substituting these intermediate dragging points into the target equation to obtain the dragging trajectory of the geometric element from the user to the target point. This method ensures constraint preservation, motion continuity, and real-time computation during the dragging process of geometric elements in computer-aided software.

This application discloses a method, device, and medium for acquiring reference information for geometric elements. The method includes: determining geometric elements through pre-set human-computer interaction software, distinguishing the geometric elements to determine the corresponding element types, including feature elements and topological elements; determining reference elements according to the types, uniformly naming the reference elements, determining the corresponding geometric object names of the reference elements through pre-set APIs, and determining the corresponding geometric types based on the geometric object names; determining the reference point and reference direction corresponding to the geometric type, and determining the coordinate values ​​of the reference point and the direction vector values ​​of the reference direction. This application accurately determines geometric elements through human-computer interaction, uniformly names reference elements after distinguishing element types, and uses APIs to determine geometric types, thereby acquiring reference information. The logic is clear, the operation is standardized, and it can efficiently and accurately acquire geometric element references, improving processing efficiency and accuracy.

A method and apparatus for extracting geometric elements from point clouds representing 3D objects and scenes employ a two-step approach to efficiently convert point clouds into voxel-defined elements. By voxelizing the point cloud and discriminating the voxelization results, large planes, cylinders, spheres, cones, tori, and other geometric objects can be identified, enabling rapid preliminary judgment. Subsequently, elements not identified in the preliminary judgment are further precisely identified.

This application provides a method and system for generating geometric feature embeddings based on an encoder, belonging to the field of data processing technology. The method includes: extracting multi-level geometric features of the geometric image to be processed using a visual encoder, and extracting text annotation features of associated text annotations using a text encoder; dynamically allocating fusion weights for the multi-level geometric features and text annotation features; performing similarity matching between the fused feature vector and standard geometric relationship features in a pre-built geometric knowledge base; optimizing the feature space using a geometric semantic alignment loss function; and generating a structured geometric embedding representation. This application can solve the technical problem in existing technologies where geometric embedding representations cannot accurately reflect the real structural relationships in complex geometric images, achieving the technical goal of adaptive generation of geometric feature embeddings based on self-supervision and geometric rule constraints, and achieving the technical effect that the geometric embedding representation can stably characterize the intrinsic relationships of complex geometric structures.