Depth-Based AR Relighting Using Live Scene Depth Maps
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Solution Overview
Problem
Challenges exist in augmenting reality scenes with dynamic lighting effects that realistically adapt to shifting elements and perspectives, due to the dynamic nature of augmented reality environments.
Innovation Solution
A method and system that utilizes depth data from sensors to place virtual light sources in AR scenes, adjusting intensity, color, and reflectivity of pixels based on distance and obstacles, enabling realistic lighting and relighting in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If virtual light sources are added to AR scenes to enhance visual realism, then illumination quality and user engagement improve, but computational complexity and processing time increase
Solution Approach 1:
The system performs preliminary depth mapping and scene analysis before relighting operations. By pre-processing the physical environment into a depth map and identifying key surfaces, the system reduces computational complexity during real-time relighting, allowing complex lighting calculations to be performed more efficiently on pre-processed data structures.
Solution Approach 2:
The relighting system applies lighting calculations selectively to specific regions of the AR scene rather than uniformly across all pixels. By identifying surfaces that would be illuminated by virtual light sources and applying relighting only to those regions, the system maintains lighting realism while reducing overall computational burden.
2Adaptability or versatility
If real-time relighting is implemented to adapt to dynamic AR scene changes, then scene adaptability and user experience improve, but processing speed and frame rate may deteriorate
Solution Approach 1:
The system pre-processes the physical environment into a depth map and identifies key surfaces before relighting operations. This preliminary structuring of scene data enables faster real-time relighting calculations by avoiding repeated full-scene analysis, thus maintaining both adaptability and processing speed.
Solution Approach 2:
The relighting system dynamically adjusts its processing based on scene changes. By detecting when and where changes occur in the AR scene, the system applies relighting updates only to affected regions rather than re-processing the entire scene, maintaining adaptability while preserving frame rate.
3Measurement precision
If depth data processing is performed to calculate accurate lighting for each pixel, then lighting precision and realism improve, but computational load and energy consumption increase
Solution Approach 1:
The system applies depth-based lighting calculations only to pixels corresponding to physical surfaces that would be illuminated by virtual light sources. By masking out sky regions, occluded areas, and non-illuminated surfaces, the system maintains lighting accuracy for relevant pixels while reducing overall computational load and energy consumption.
Solution Approach 2:
The system performs lighting calculations for a subset of pixels that are most likely to be affected by virtual light sources rather than all pixels in the frame. This partial processing approach maintains sufficient lighting precision for visible surfaces while significantly reducing computational energy requirements.
Data Source
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AI summary
A system and method for relighting of an augmented reality scene are provided. Image data and depth data corresponding to a physical environment may be captured by an image sensor of a computing device, for display in an AR scene generated by the computing device. The system may use the image data and depth data to generate a live depth map of the physical environment. A virtual light source may be placed in the AR scene of the physical environment in response to a user input. The system may relight the AR scene in response to the placement of the virtual light source based on the image data and the depth map.