Super Sampling Anti-Aliasing for Degenerated Triangle Artifacts
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Solution Overview
Problem
High resolution meshes generated by GPUs often suffer from degenerated triangles, which result in artifacts like small artifacts or disconnected dots due to floating point errors, requiring manual mesh manipulation to remove thin triangles, a time-consuming and resolution-diminishing process.
Innovation Solution
The use of super sampling in combination with down-sampling and a Gaussian Blur filter to mitigate the effects of degenerated triangles, enhancing anti-aliasing by hiding these artifacts through a multi-step process involving off-screen buffers and custom shaders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If manual mesh manipulation is used to remove thin triangles, then artifacts from degenerated triangles are reduced, but the process is time-consuming and diminishes resolution
Solution Approach 1:
The patent replaces manual mesh manipulation (mechanical editing process) with a computational image processing system that applies super-sampling and Gaussian blur filters to automatically remove artifacts from degenerated triangles, thereby eliminating time-consuming manual operations while maintaining resolution
Solution Approach 2:
The patent introduces an intermediary image processing pipeline between mesh generation and final rendering that uses super-sampling buffers and Gaussian blur operations to automatically mitigate artifacts, serving as a mediator that eliminates the need for direct manual mesh manipulation
2Manufacturing precision
If super sampling is applied to enhance anti-aliasing, then image quality is improved, but computational complexity increases
Solution Approach 1:
The patent segments the image processing into distinct stages: initial rendering to off-screen buffer, super-sampling at higher resolution, Gaussian blur filtering, and down-sampling to final output. This segmentation allows each operation to be optimized independently, improving image quality while managing computational complexity through staged processing
Solution Approach 2:
The patent resolves computational complexity by moving the super-sampling operation to a separate dimensional space (off-screen buffers at higher resolution) rather than applying it directly to the final display buffer, allowing complex calculations to occur in an independent computational dimension
Data Source
AI summary
Disclosed embodiments provide systems, components, and methodologies for performing super sampling in combination with other operations to enhance anti-aliasing in high resolution meshes generated by GPUs so as to mitigate, reduce or eliminate the effects of degenerated triangles so as to improve the appearance of simulated objects.