Adaptive Contextual Filtering for Observer Colorblindness
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Solution Overview
Problem
Traditional filtering techniques apply filters uniformly to entire objects, failing to address the specific visual needs of different features or characteristics within an object, leading to suboptimal visual representation.
Innovation Solution
A method for selectively applying graphical filters to specific portions of an object based on pre-defined characteristics, such as structural, color, or geometrical information, allowing for contextual filtering that enhances the perception of certain features without affecting others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If uniform filtering is applied to entire objects, then the filtering process is simple and fast, but the visual representation quality deteriorates because specific features are not optimized
Solution Approach 1:
The patent segments the object into multiple portions based on characteristics such as color, structure, or geometry. Each portion is then evaluated independently to determine which filter should be applied. This segmentation allows different filtering strategies to be applied to different parts of the object, improving overall visual representation quality without requiring complex manual intervention for each portion.
Solution Approach 2:
The patent applies the principle of local quality by selecting and applying specific filters to specific portions of the object based on their individual characteristics. Instead of applying a uniform filter to the entire object, the system evaluates each portion's features (color, structure, geometry) and applies the most appropriate filter locally, thereby optimizing visual representation quality for each region while maintaining manageable system complexity.
2Manufacturing precision
If selective filtering based on multiple characteristics is implemented, then visual representation quality improves, but computational complexity and processing time increase
Solution Approach 1:
The patent implements preliminary action by pre-defining multiple filters and establishing characteristic-based selection criteria before the actual filtering process. The system prepares a library of filters with associated characteristics, and during rendering, it efficiently matches object portions to appropriate filters based on pre-established criteria. This preliminary preparation reduces computational complexity during actual rendering while maintaining high visual quality.
3Productivity
If filters are applied to all portions of an object, then processing is straightforward, but computational resources are wasted on portions that do not require filtering
Solution Approach 1:
The patent applies partial action by selectively filtering only those portions of the object that require it, based on their characteristics. The system evaluates each portion and applies filters only where necessary to achieve the desired visual quality, rather than uniformly applying filters to all portions. This approach improves rendering efficiency by avoiding unnecessary computational operations on portions that do not benefit from filtering.
Data Source
AI summary
Selectively applying graphical filtering to characters can include the identification of observer characteristics and characteristics associated with different portions of the character. Corresponding filters can then be identified and selectively applied to the characters and, in some instances, without applying the filter to the entire character.