4 results about "Physical geometry" patented technology

The invention discloses a physical perception-based generative three-dimensional reverse design method and system, which realize efficient exploration and optimization in a three-dimensional design space by constructing a unified physical-geometric potential representation and combining a two-stage optimization strategy. According to the method, shape and physical field data combined training is utilized to obtain potential representation, so that a geometric structure and physical constraints are compactly represented; on the basis, two stages of physical perception optimization are adopted: in the first stage, global exploration is performed in a potential manifold through a gradient-guided diffusion model, and an initial grid is generated; and in the second stage, the initial grid is locally optimized by utilizing target-driven topology maintenance optimization, so that the initial grid gradually approaches the target performance requirement. According to the method, the high-fidelity three-dimensional geometric design can be directly generated, the target performance and the result diversity of the design are remarkably improved, the method can be widely applied to aerospace, energy equipment and complex engineering structure design, and a new technical approach is provided for efficient implementation of the three-dimensional intelligent design.

This application provides a method, apparatus, device, and storage medium for reconstructing a 3D Gaussian scene based on the geometric constraints of a mesh tangent plane, relating to the field of computer vision technology. The method includes: acquiring an image sequence of a target scene and reconstructing the initial geometric topology of the target scene; constructing a local tangent plane coordinate system attached to a triangular mesh, and parameterizing the center of the 3D Gaussian primitives as coordinates in the local tangent plane coordinate system; rendering and iteratively optimizing the parameterized 3D Gaussian primitives to update their attributes; during the iterative optimization process, adaptively controlling the density of the 3D Gaussian primitives attached to the mesh surface based on the geometric curvature information of the triangular mesh; and generating a 3D scene model with a triangular mesh as the geometric skeleton and optimized 3D Gaussian primitives as the appearance representation. This application achieves high-fidelity reconstruction of both visual appearance and physical geometry, and improves the resolution capability of complex textures while maintaining real-time rendering speed.

The application relates to an electronic chart topology automatic construction method, and belongs to the technical field of marine surveying and mapping. The method comprises the following steps: constructing an element table, an attribute table and a spatial geometry topology table according to the geometric type of elements; importing element, geometry and attribute data into corresponding table structures; performing a de-duplication processing based on a buffer threshold on a point topology table; breaking and reconstructing curves intersecting with the point buffer in the curve topology table; merging overlapping curves in the curve topology table; and merging overlapping surfaces in the surface topology table. The application realizes the topology consistency construction of the elements of the electronic chart at the physical geometry level, meets the S-101 standard requirements, has the characteristics of flexibility, openness and easy integration into a basic geographic information platform, and effectively improves the automation degree and data quality of the production of the electronic chart.

The invention discloses a modular game development engine system and method based on deep learning, and relates to the technical field of game software development, and the system comprises the following modules: a heterogeneous graph construction module used for constructing a module heterogeneous graph; the physical topology generation module is used for generating a dynamic topology adjacency matrix by improving an EGNN network; the interface alignment tensor generation module is used for generating an interface alignment tensor; the glue code decoding module is used for generating a glue code node sequence; the formal verification module is used for generating a verification feedback vector; the physical geometry correction module is used for generating a corrected topological adjacency matrix; and the logic flow generation module is used for generating a game logic flow file. According to the method, the limitations of low module combination efficiency, high logic error rate of automatically generated codes and lack of self-correction capability in traditional game development are overcome, and an efficient solution is provided for intelligent game development.