Virtual Lens Rendering for AR Edge Alignment and Tone Mapping
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Solution Overview
Problem
Augmented reality devices struggle to accurately display real-world environments due to limitations in camera and display devices, leading to mismatched color tones and improper alignment of edges, which affects user experience.
Innovation Solution
The system adjusts physical display geometry, illumination characteristics, and display characteristics based on user viewing pose and environmental data to enhance tone mapping and realism, using camera devices, accelerometers, and environmental illumination data to correct for these limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual display property adjustments are made to improve realism in certain environments, then color tone accuracy is improved for those environments, but display realism deteriorates in other environments
Solution Approach 1:
The system dynamically adjusts display properties (color tones, brightness, contrast) in real-time based on the detected environment type. The display characteristics are not fixed but change adaptively as the user moves between different environments (indoor/outdoor, daytime/nighttime), ensuring optimal realism for each context without requiring manual intervention.
Solution Approach 2:
The system uses sensors (cameras, illuminance sensors, accelerometers) to continuously monitor environmental conditions and provides feedback to the display adjustment mechanism. This closed-loop feedback system automatically detects environment changes and adjusts display properties accordingly, preventing the mismatch problem that occurs with static manual adjustments.
2Measurement precision
If display properties are adjusted to match real-world color tones, then color accuracy is improved, but edge alignment and geometric accuracy deteriorate due to camera and display limitations
Solution Approach 1:
The system segments the image processing into distinct correction modules: one module handles color tone adjustment while another module handles geometric distortion and edge alignment. This segmentation allows each module to optimize its specific function without interfering with the other, addressing both color accuracy and edge alignment separately and simultaneously.
Solution Approach 2:
The system introduces an intermediary processing layer between camera capture and display output that applies multiple corrections. This intermediary layer includes geometric correction algorithms and tone mapping algorithms that work together to compensate for both optical distortions and color inaccuracies, preventing the trade-off between color matching and edge alignment.
3Illumination intensity
If environmental illumination data is used to adjust display characteristics, then illumination realism is improved, but processing complexity and energy consumption increase
Solution Approach 1:
The system applies partial illumination correction by focusing computational resources on the most visually critical aspects of lighting (overall brightness, dominant color temperature) while using simplified models for less critical details. This selective approach achieves perceptually sufficient illumination realism without the full computational cost of comprehensive physical lighting simulation.
Data Source
AI summary
Techniques for displaying content using an augmented reality device are described. Embodiments provide a visual scene for display, the visual scene captured using one or more camera devices of the augmented reality device. Embodiments adjust physical display geometry characteristics of the visual scene to correct for optimal projection. Additionally, illumination characteristics of the visual scene are modified based on environmental illumination data to improve realism of the visual scene when it is displayed. Embodiments further adjust display characteristics of the visual scene to improve tone mapping output. The adjusted visual scene is then output for display on the augmented reality device.