Light estimation using ambient light sensors for augmented reality applications
By integrating ambient light sensors and SLAM algorithms, lighting maps are generated, which solves the problem of inaccurate lighting estimation in augmented reality, and achieves high-quality virtual object rendering and user experience improvement.
CN120167034APending Publication Date: 2025-06-17创峰科技
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Patent Information
- Application Number
- CN202280101673.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2022-12-29
- Publication Date
- 2025-06-17
AI Technical Summary
Technical Problem
In existing augmented reality technologies, lighting estimation is inaccurate, especially when the training data set is limited, and effective mathematical theory is lacking to solve the backlight problem.
Method used
By integrating ambient light sensors, the light intensity in the physical environment is measured, and the data of the camera and inertial measurement unit are processed in combination with the SLAM algorithm to generate a light map to accurately map ambient light conditions.
Benefits of technology
It realizes accurate rendering of shadows and reflections of virtual objects in augmented reality, improves the user experience, and provides a reliable lighting estimation method.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to mapping an environment around an electronic device having one or more processors and memory. An electronic device obtains a plurality of light intensity data measured by an ambient light sensor and a plurality of pose data of the ambient light sensor. Each pose data includes a position and orientation of the ambient light sensor in the environment. The electronic device associates each of the plurality of light intensity data with a respective location and orientation of the plurality of pose data and maps lighting conditions of the environment to generate a lighting map, the lighting map including the plurality of light intensity data and the respective location in the environment. An illumination map of an environment is applied in an augmented reality application.
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