Reality View Display Segmentation for AR Target Focus
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Solution Overview
Problem
In visually crowded environments, existing augmented and mixed reality technologies struggle to effectively focus user attention on a target object by integrating digital or virtual objects, as they do not adequately differentiate the target from surrounding elements.
Innovation Solution
A computer-implemented method that determines a second non-overlapping sub-area within the user view area, reduces its pixel data information by methods such as removing digital objects, blurring, or reducing colors, and combines this with the target object's sub-area data to create a partially reduced pixel data information for enhanced focus on the target object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If digital or virtual objects are integrated into the user view area to provide information, then the information availability is improved, but the visual clutter increases and user focus on the target object deteriorates
Solution Approach 1:
The user view area is segmented into multiple sub-areas, with the first sub-area dedicated to displaying the target object and subsequent sub-areas used for digital objects. This spatial segmentation allows information to be distributed across different regions, preventing visual clutter in the target object's area while maintaining information availability in other sub-areas.
Solution Approach 2:
Different regions of the user view area are assigned different visual qualities or priorities. The first sub-area containing the target object maintains full visual quality, while other sub-areas may have reduced visual prominence. This local differentiation ensures the target object remains visually prominent while still providing information through digital objects in less critical regions.
2Loss of information
If the user view area displays all visual information at full quality, then the information completeness is improved, but the difficulty of detecting the target object increases due to visual crowding
Solution Approach 1:
The display area is divided into segmented sub-areas, with the target object isolated in the first sub-area. This segmentation creates visual separation that enhances target detectability while preserving complete information display across all sub-areas.
Solution Approach 2:
Different sub-areas may utilize color or visual property variations to distinguish the target object from other information elements. The target object in the first sub-area can maintain full color and visual fidelity, while other sub-areas use differentiated visual properties to reduce visual competition and improve target detection.
Data Source
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AI summary
A computer-implemented method for displaying a reality view on a display system. The method comprising the steps of establishing a user view area for a reality view comprising a target object, determining a first sub-area within the user view area, the first sub-area comprising the target object, determining a second sub-area within the user view area, the second sub-area being non-overlapping with the first sub-area, determining pixel data information corresponding to the first sub-area, determining pixel data information corresponding to the second sub-area, reducing the pixel data information corresponding to the second sub-area, combining the determined pixel data information corresponding to the first sub-area with the reduced pixel data information corresponding to the second sub-area into partially reduced pixel data information for the user view area, and displaying the user view area of the reality view on the display system according to the partially reduced pixel data information corresponding to the second sub-area.