Augmented Reality Lighting Reconstruction for Virtual Object Realism
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Solution Overview
Problem
Augmented reality technologies fail to naturally render virtual objects in physical environments due to neglect of color calibration, motion blur, anti-aliasing, and physical lighting reconstruction, resulting in unnatural appearances.
Innovation Solution
Determining and estimating light source characteristics such as location, direction, color, shape, intensity, and coherence of local and ambient light sources using sensors to create a synthesized physical lighting environment model, which is applied to virtual objects in the augmented reality display, allowing for accurate rendering of lighting effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual objects are placed and oriented in the physical world using traditional augmented reality approaches, then the virtual objects can be displayed in the augmented reality display, but the virtual objects appear unnatural or out-of-place due to improper rendering including lack of color calibration, artificial motion blur, increased anti-aliasing, and physical lighting environment reconstruction
Solution Approach 1:
The system performs preliminary action by capturing images of the physical environment and determining light source characteristics (location, direction, color, shape, intensity, coherence) before rendering virtual objects. This preprocessing of lighting information allows the virtual objects to be rendered with accurate lighting effects that match the physical environment, resolving the contradiction between realism and complexity by preparing lighting data in advance rather than computing it during rendering
Solution Approach 2:
The system creates a synthesized physical lighting environment model that copies and reproduces the characteristics of actual light sources in the physical world. By capturing light source properties and recreating them in a digital model, the system applies these copied lighting characteristics to virtual objects, making them appear natural and integrated into the physical environment without requiring complex real-time lighting calculations
2Measurement precision
If light source characteristics are determined and estimated using sensors to create a synthesized physical lighting environment model, then the lighting rendering of virtual objects is improved, but the computational processing and sensor requirements increase
Solution Approach 1:
The system applies universality by using a single captured image of the physical environment to determine multiple light source characteristics simultaneously (location, direction, color, shape, intensity, coherence). This multi-functional approach extracts comprehensive lighting information from one image source, improving measurement precision while avoiding the need for multiple specialized sensors for each parameter
Solution Approach 2:
The system uses an intermediary approach by capturing images of the physical environment with a camera or sensor, which then serves as a mediator to extract light source characteristics. Instead of directly measuring each lighting parameter with dedicated sensors, the image capture acts as an intermediary that contains information about all light source properties, which can then be analyzed to determine the complete lighting environment
Data Source
AI summary
A method and apparatus for rendering the lighting of virtual objects in an augmented reality display. The method includes determining local and ambient light sources based on data provided by one or more light sensors. The light in the physical lighting environment is accounted for by attributing the light to local light sources and/or ambient light sources. A synthesized physical lighting environment is constructed based on the light characteristics of the local and/or ambient light sources, and is used in properly rendering virtual objects in the augmented reality display.