AR Icon Overlay Adaptation for Background Discrimination
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Solution Overview
Problem
Existing augmented reality systems for moving vehicles struggle to maintain icon visibility in rapidly changing environments, as icons often blend with the background, making them difficult for users to notice quickly.
Innovation Solution
A system that dynamically adapts the icons by adjusting parameters such as color, intensity, border, pattern, and shape to enhance visual discrimination between the icon and its background, using real-time image analysis to ensure the icon stands out in dynamic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If icons are displayed with standard appearance in augmented reality presentation, then the presentation maintains consistency, but the icons become visually similar to the background and difficult to distinguish
Solution Approach 1:
The icon parameters (color, intensity, border, pattern, shape) are dynamically adjusted in real-time based on the background characteristics detected in each frame. This dynamic adaptation ensures icons remain visually distinguishable from rapidly changing backgrounds in moving vehicle environments.
Solution Approach 2:
The system changes multiple icon parameters simultaneously including color, intensity, border characteristics, pattern, and shape to optimize visual discrimination. These parameter changes are computed based on statistical distance analysis between icon pixels and background pixels.
2Reliability
If icon parameters are dynamically adjusted to enhance visibility, then visual discrimination improves, but the processing complexity and computational load increase
Solution Approach 1:
The system analyzes local background characteristics in the specific region where the icon will be displayed and adapts the icon parameters locally to match or contrast with that specific background area. This localized approach reduces unnecessary processing of the entire frame.
Solution Approach 2:
The system continuously monitors the visual similarity between icons and background, computes statistical distance metrics, and uses this feedback to iteratively adjust icon parameters until optimal visual discrimination is achieved.
3Adaptability or versatility
If real-time image analysis is performed to detect visual similarity, then icon adaptability improves, but the response time and processing speed are reduced
Solution Approach 1:
The system performs image analysis on selected regions or sampled pixels rather than processing every pixel in the entire frame. This partial processing approach maintains real-time performance while achieving sufficient visual discrimination.
Solution Approach 2:
The system pre-computes background statistics and icon parameter options in advance, so when icon placement is needed, the adaptation can be performed quickly by selecting from pre-prepared parameter sets rather than computing everything from scratch.
Data Source
AI summary
There is provided, a computer implemented method of dynamic adaptation of an augmented reality presentation, comprising: monitoring an augmented reality presentation comprising frames of a video captured by a camera disposed on a moving object, and an icon overlay on the frames, detecting a visual similarity between pixels of the icon and pixels of a specific frame at least one of: behind the icon and in near proximity to the icon, and in response to the detected visual similarity, adapting the icon for visual discrimination between the icon and pixels of the specific frame at least one of: behind the icon and in near proximity to the icon.