3D Model Key Point Density Adjustment via Subdivision Plane Angles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing three-dimensional model processing methods face challenges in efficiently adjusting key point densities across different areas of a model, leading to suboptimal memory usage and processing speed due to uniform key point density configurations.
Innovation Solution
A method that determines target key point densities based on angle information of subdivision planes in each area, allowing for dynamic adjustment of key point densities to maintain detail accuracy while reducing the overall number of key points, thereby optimizing memory usage and processing speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a same key point density is used everywhere in the 3D model, then the model structure is simple and easy to process, but the presentation accuracy of the 3D model deteriorates in areas requiring high detail
Solution Approach 1:
The patent applies local quality by dividing the 3D model into multiple areas and assigning different key point densities to each area based on its specific requirements. Areas with higher detail requirements receive higher key point densities, while areas with lower requirements receive lower densities, thereby optimizing both accuracy and complexity management.
2Manufacturing precision
If a higher key point density is used throughout the 3D model, then the presentation accuracy is improved, but the memory usage and processing time increase
Solution Approach 1:
Instead of uniformly increasing key point density throughout the entire model, the patent locally increases density only in areas where high presentation accuracy is required. This selective approach maintains accuracy where needed while reducing overall processing load and memory requirements.
Solution Approach 2:
The patent segments the 3D model into multiple areas and processes each area with appropriate key point density levels. This segmentation allows independent optimization of each region, enabling high accuracy in critical areas while maintaining efficiency in less critical areas.
3Productivity
If a lower key point density is used throughout the 3D model, then the memory usage is reduced, but the presentation accuracy deteriorates in areas requiring high detail
Solution Approach 1:
The patent implements local quality by maintaining lower key point densities in areas where high memory efficiency is prioritized, while locally increasing density in areas where high presentation accuracy is essential. This differentiated approach optimizes the balance between memory usage and accuracy.
4Ease of operation
If uniform key point density is applied, then the processing workflow is simple, but the adaptability to different area requirements is reduced
Solution Approach 1:
The patent enhances adaptability by enabling different key point densities for different areas of the 3D model. Each area can be independently configured according to its specific requirements, allowing the system to adapt to varying detail needs while maintaining a manageable processing workflow through automated density determination.
Data Source
AI summary
Provided are a three-dimensional model processing method, an electronic device, and a readable storage medium. The method comprises: obtaining a three-dimensional model, wherein the three-dimensional model comprises a plurality of key points and a plurality of subdivision planes obtained by connecting adjacent key points as vertices; for each region in the three-dimensional model, according to the angle information of the subdivision plane in each region, determining a corresponding target key point density of each region; according to the corresponding target key point density of each region, adjusting the key point density of a corresponding region in the three-dimensional model.