AR Inserted Content Lighting Using Local Image Parameters
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Solution Overview
Problem
Existing augmented reality (AR) systems struggle to apply lighting to inserted content in a realistic manner without prior knowledge of environmental lighting conditions, requiring excessive computational resources and power consumption, especially in battery-operated mobile devices.
Innovation Solution
An AR system determines lighting parameters by extracting brightness, hue, and saturation values from image regions, scaling these values based on inserted content data, and using fewer processor cycles to render content with overhead and lower light sources, allowing for realistic lighting without prior environmental knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If traditional lighting estimation methods are used for inserted content, then lighting realism is improved, but computational resources and power consumption increase excessively
Solution Approach 1:
The patent extracts only the essential lighting parameters (brightness, hue, saturation) from the image data, rather than performing complete environmental lighting analysis. This selective extraction of critical illumination characteristics reduces computational overhead while maintaining sufficient lighting realism for augmented reality content
Solution Approach 2:
The system applies partial lighting estimation by focusing on key image regions and essential color properties rather than analyzing the entire scene comprehensively. This partial action approach provides adequate lighting realism without the excessive computational resources required for complete environmental analysis
2Measurement precision
If complete environmental lighting analysis is performed, then lighting accuracy is improved, but processing time increases
Solution Approach 1:
The patent segments the lighting analysis task by dividing the image into specific regions of interest and analyzing only those areas relevant to the inserted content. This segmentation allows the system to achieve sufficient lighting accuracy without processing the entire image, thereby reducing processing time
Solution Approach 2:
The system performs preliminary identification of key image properties (brightness, hue, saturation) before rendering the inserted content. By pre-extracting these essential lighting parameters, the system avoids time-consuming analysis during the rendering phase, achieving both accuracy and efficiency
3Illumination intensity
If advanced lighting estimation algorithms are used, then lighting quality is improved, but device complexity increases
Solution Approach 1:
The patent applies local quality by focusing computational effort on the specific regions where inserted content will appear, rather than analyzing the entire scene uniformly. This localized approach maintains high lighting quality for relevant areas while reducing overall system complexity
Solution Approach 2:
The system changes the approach from complex environmental analysis to extracting and scaling fundamental color parameters (brightness, hue, saturation). By transforming the problem into parameter extraction and scaling operations, the system achieves good lighting quality with simpler algorithms and reduced device complexity
Data Source
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AI summary
Systems and methods for lighting inserted content are provided. For example, the inserted content may include augmented reality content that is inserted into an image of a physical space. An example system and method may include determining a location within an image to insert content. For example, the image may be captured by a camera device. The example system and method may also include identifying a region of the image based on the determined location to insert the content, determining at least one lighting parameter based on the identified region, and rendering the content using the determined at least one lighting parameter.