Graphical Scene Rendering Object Tree Structure
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Solution Overview
Problem
Existing graphical rendering technologies face challenges in efficiently generating and modifying graphical scenes with multiple axes, particularly in polar coordinate systems, due to inefficiencies in object trees adapted for Cartesian systems, leading to reduced customizability and increased processor resource usage.
Innovation Solution
The implementation of an object tree structure that includes separate dataspace objects for each axis, allowing for independent transformations and customizations, and the use of a base class associated with the Cartesian coordinate system to generate and modify polar object trees based on similar API instructions as Cartesian plots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single dataspace object is used for all axes in polar plots, then the object tree structure is simpler, but customizability and rendering efficiency are reduced
Solution Approach 1:
The patent divides the single dataspace object into multiple separate dataspace objects, with each dataspace object corresponding to a specific axis in the polar plot. This segmentation allows independent transformation and customization of each axis while maintaining the overall object tree structure, thereby resolving the contradiction between structural simplicity and customizability.
2Ease of manufacture
If Cartesian object tree is used for polar plots, then implementation is simpler, but processor resource usage increases
Solution Approach 1:
The patent applies local quality by creating a specialized PolarAxes class that inherits from CartesianAxes but implements polar-specific transformation logic. This allows the system to use the familiar Cartesian object tree structure for simplicity while locally adapting the transformation calculations to be optimized for polar coordinates, reducing unnecessary processor overhead.
3Manufacturing precision
If polar-specific API instructions are implemented, then polar plot functionality is more accurate, but ease of use decreases
Solution Approach 1:
The patent implements a universal API design where the same plotting function calls work for both Cartesian and polar plots. The PolarAxes class maintains compatibility with standard matplotlib interfaces, allowing users to generate polar plots using familiar syntax while the underlying implementation handles the coordinate transformation automatically, thus maintaining ease of use while ensuring polar-specific accuracy.
Data Source
AI summary
A device may receive information that specifies a graphical scene. The graphical scene may include a coordinate axis. Data, to be plotted in the graphical scene, may be plotted with regard to the coordinate axis. The device may generate a structured plurality of objects. One or more objects, of the structured plurality of objects, may store properties that define the graphical scene. A particular object, of the one or more objects, may store properties that define one or more elements of the coordinate axis. The device may receive information identifying a modification to an element of the coordinate axis, of the one or more elements of the coordinate axis. The device may modify a property of the properties that define the one or more elements of the coordinate axis, based on the instruction, to implement the modification specified by the instruction.