Model processing method and system for three-dimensional model
Through the implicit model processing method, Morton code and local ordered clustering are used to construct the model hierarchical bounding volume and generate the distance field of the sampling point cloud, which solves the problems of low accuracy and efficiency in three-dimensional model processing and realizes efficient and flexible model processing.
CN120689497AActive Publication Date: 2025-09-23TECH & ENG CENT FOR SPACE UTILIZATION CHINESE ACAD OF SCI
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Patent Information
- Application Number
- CN202510581325.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-07
- Publication Date
- 2025-09-23
- Estimated Expiration
- 2045-05-07
AI Technical Summary
Technical Problem
Existing three-dimensional model processing methods have problems such as high algorithm complexity, low processing efficiency, and poor application flexibility, resulting in low model processing accuracy and efficiency.
Method used
An implicit model-based processing method is adopted to construct a model hierarchical bounding volume by sorting and encoding polygonal patches with Morton codes, generate an unsigned distance field of the sampling point cloud, and determine the signed distance field in combination with the inside-outside judgment algorithm to finally generate the target three-dimensional model.
Benefits of technology
It improves the accuracy and efficiency of 3D model processing, reduces memory usage, and enhances processing flexibility.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a three-dimensional model processing method and system, and the method comprises the steps: carrying out the sorting and coding of a plurality of polygon patches through a Morton code method based on the extracted bounding box information of a first model, and determining a plurality of coded polygon patches; then, on the basis of a plurality of coded polygon patches, a model hierarchical bounding volume is constructed through a local ordered clustering method; next, an unsigned distance field of the sampling point cloud is determined based on the bounding box information and the model hierarchical bounding volume. And further, performing internal and external detection on the first sampling point through an internal and external judgment algorithm according to the patch information, and determining a symbol distance field of the sampling point cloud in combination with the unsigned distance field. And finally, generating a target three-dimensional model according to the symbol distance field of the sampling point cloud. The method adopts a model processing method based on an implicit model, and has the beneficial effects of high modeling precision and efficiency, less memory occupation, high processing flexibility and the like. In this way, the precision and efficiency of performing model processing on the three-dimensional model can be effectively improved.
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