Vector Graphics Rendering Edge Contribution Techniques
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Solution Overview
Problem
Existing techniques for rendering vector graphics in 3D environments often consume excessive electronic device resources and result in blurry edges when scaled, due to their reliance on fixed-resolution images.
Innovation Solution
The method involves defining vector graphics using 2D canvases that can be displayed flat or warped in 3D, with a pre-processing stage that subdivides the canvas into tiles and identifies relevant portions, allowing the GPU to efficiently render pixels by assessing only the relevant vector graphic data for each tile, reducing the number of curves and computations required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing techniques for rendering vector graphics are used, then the graphics can be rendered in 3D environments, but excessive electronic device resources (CPU and/or GPU computations, time, power) are consumed
Solution Approach 1:
The 2D canvas is divided into multiple tiles, and the vector graphic portions are subdivided and assigned to specific tiles. This segmentation allows the GPU to process only the relevant portions of the vector graphic for each tile, rather than processing the entire graphic, thereby reducing computational overhead and improving rendering efficiency while lowering resource consumption.
Solution Approach 2:
The patent applies different processing strategies to different regions of the vector graphic based on their relevance to each tile. By identifying and processing only the locally relevant portions of the vector graphic for each tile, the system optimizes resource allocation and reduces unnecessary computations, thus improving productivity while reducing energy use.
2Manufacturing precision
If fixed-resolution images are used for rendering, then the rendering process is simpler, but the edges appear blurry when the image is enlarged
Solution Approach 1:
The patent performs preliminary processing of the vector graphic by pre-identifying and subdividing the portions that are relevant to each tile before rendering. This preliminary action allows the GPU to efficiently render sharp edges by processing only the necessary vector graphic data for each tile, maintaining manufacturing precision (edge sharpness) while managing device complexity through optimized preprocessing.
3Measurement precision
If all portions of the vector graphic are assessed for rendering, then complete accuracy is achieved, but the rendering time and computational resources increase significantly
Solution Approach 1:
The patent extracts and identifies only the relevant portions of the vector graphic that contribute to each tile, separating them from the non-relevant portions. This extraction process maintains rendering accuracy by ensuring that all contributing portions are captured, while significantly reducing rendering time by excluding unnecessary portions from the processing pipeline.
Solution Approach 2:
The patent applies partial action by processing only the necessary portions of the vector graphic for each tile rather than the entire graphic. By identifying and processing only the relevant contributing portions, the system achieves sufficient rendering accuracy while minimizing rendering time and computational resource usage.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that render perspective correct 2D graphics. In some implementations, a vector graphic including portions defined on a 2D canvas is obtained, and tiles of the 2D canvas is divided into tiles. In some implementations, a subset of the portions outside of a first tile of the tiles on the 2D canvas is identified. Then, the portions of the subset are projected onto an edge of the first tile. In some implementations, data for rendering the vector graphic is provided, the data comprising the projected portions of the subset of the portions outside the first tile.