Semantic Image Mapping for AR Display Ambient Light Compensation
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Solution Overview
Problem
In augmented reality (AR) systems with see-through displays, ambient light from the physical environment interferes with computer-generated content, causing limited contrast and incorrect color profiles, which degrades the user experience due to the inability of conventional color correction methods to effectively account for light from the physical environment.
Innovation Solution
An electronic device senses luminance values associated with ambient light and semantically maps image data to predetermined display characteristics based on these values, identifying specific semantic values associated with image data portions to adjust display characteristics and minimize the impact of ambient light, thereby enhancing the AR experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If conventional color correction methods are used in see-through display systems, then the display can show computer-generated content, but the ambient light from the physical environment causes limited contrast and incorrect color profile
Solution Approach 1:
The system dynamically adjusts display parameters (luminance, color profile) based on sensed ambient light conditions. The processor modifies the mapping function between image data and display characteristics according to the sensed luminance values, allowing the display to adapt its contrast and color rendering to compensate for ambient light interference.
Solution Approach 2:
The system implements a feedback loop where luminance values of ambient light are continuously sensed and used to adjust the display characteristics. The sensed luminance information feeds back to the processor, which then modifies the image data mapping to maintain optimal contrast and color accuracy despite changing ambient conditions.
2Adaptability or versatility
If see-through display allows pass-through of ambient light, then user can see physical environment, but computer-generated content has degraded quality
Solution Approach 1:
The system changes the color and luminance parameters of the displayed content based on the sensed ambient light conditions. By adjusting the mapping function according to ambient luminance values, the system maintains color accuracy and visual quality while preserving the see-through capability that allows users to view the physical environment.
3Manufacturing precision
If semantic-based mapping is applied to adjust display characteristics, then image quality is maintained under ambient light, but processing complexity increases
Solution Approach 1:
The system segments the image data into different portions and applies semantic values to identify important regions. By focusing processing on semantically significant portions rather than the entire image, the system achieves accurate display characteristic adjustment while reducing overall processing complexity.
Solution Approach 2:
The system applies different display characteristics to different portions of the image data based on semantic analysis. Important regions identified by semantic values receive precise color and luminance adjustment, while other regions use standard mapping, optimizing quality where needed and reducing processing burden elsewhere.
Data Source
AI summary
A method includes sensing a plurality of luminance values associated with ambient light from a physical environment. The plurality of luminance values quantifies the ambient light arriving at a see-through display. The method includes obtaining a plurality of semantic values respectively associated with a plurality of portions within image data. The plurality of portions includes a first portion of the image data and a second portion of the image data. The method includes identifying a first one of the plurality of semantic values that satisfies a criterion. The first one of the plurality of semantic values is associated with the first portion of the image data. The method includes mapping, based on a function of a portion of the plurality of luminance values, the image data to predetermined display characteristics of the first portion of the image data within a performance threshold.