3D Plane Segmentation for Real-Time Gradient Surface Rendering
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Solution Overview
Problem
Existing three-dimensional real-time rendering technologies face high complexity, large computational demands, and low efficiency due to complex algorithms and vast data requirements, limiting their application in large-scale or high-resolution scenarios.
Innovation Solution
A method and apparatus for plane segmentation of a three-dimensional rendering gradient multi-level plane, involving grayscale conversion, three-dimensional projection, pixel grouping, determination of triangular patches, and gradient color rendering, to optimize computational efficiency and refine surface structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If complex algorithms and huge amounts of data are used for three-dimensional real-time rendering, then rendering quality is improved, but computational complexity and rendering time increase
Solution Approach 1:
The patent divides the three-dimensional rendering process into multiple discrete processing stages: model construction, texture mapping, lighting calculation, and rendering output. By segmenting the complex rendering pipeline into modular components, each handling specific aspects of image generation, the system reduces overall algorithmic complexity while maintaining rendering quality.
Solution Approach 2:
The patent introduces hierarchical levels of rendering detail, processing images at multiple resolution levels and combining them to achieve final high-quality output. This multi-level approach allows computationally intensive operations to be performed at lower resolutions while preserving fine details through selective processing at higher levels.
2Manufacturing precision
If complex algorithms and huge amounts of data are used for three-dimensional real-time rendering, then rendering quality is improved, but rendering efficiency decreases
Solution Approach 1:
The patent performs preprocessing operations on three-dimensional models and textures before the actual rendering process. This includes pre-calculating lighting conditions, pre-segmenting geometric surfaces, and pre-organizing data structures, which significantly reduces computational requirements during real-time rendering execution.
Solution Approach 2:
The rendering process is divided into independent parallel processing streams that can be executed simultaneously on different computational units. By segmenting the workload across multiple processing channels, the system achieves higher overall rendering efficiency without sacrificing image quality.
3Measurement precision
If complex algorithms are used for three-dimensional rendering, then image processing accuracy is improved, but computational demand increases
Solution Approach 1:
The patent applies full-precision complex algorithms only to critical regions of the image that require high accuracy, such as edges and high-contrast areas. For other regions, simplified algorithms are used, reducing overall computational demand while maintaining necessary image processing accuracy where it matters most.
Solution Approach 2:
Different processing algorithms and precision levels are applied to different regions of the rendered image based on local characteristics. High-computation algorithms are concentrated on areas requiring detailed processing, while low-computation algorithms handle uniform or less critical regions, optimizing the balance between accuracy and computational cost.
Data Source
AI summary
Disclosed is a method and an apparatus for plane segmentation of a three-dimensional rendering gradient multi-level plane. The method includes: performing a grayscale conversion on a target image, and performing a projection and pixel grouping on a first image processing result obtained by the grayscale conversion, so as to obtain a second image processing result including a plurality of triangular patches; performing determination of vertexes for each triangular patch, determination of intersections between a plane where each triangular patch is located and a predetermined section, and connection of the intersections on the second image processing result, so as to obtain a third image processing result; and performing segmentation processing, classification processing, and gradient color rendering on non-triangular parts in the third image processing result in accordance with the pixel grouping condition, so as to obtain a fourth image processing result including a target rendered image.