AR Optical Measurement Using Multi-Camera Segmentation
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Solution Overview
Problem
There is a need for a method and apparatus to measure optical characteristics of virtual images produced by augmented reality devices, including calculating virtual image distance, look down/up angle, horizontal/vertical field of view, static distortion, and ghosting level, which existing technologies have not adequately addressed.
Innovation Solution
A method and apparatus that utilize one or more cameras positioned around a measurement reference point to capture images of patterns on a virtual plane, acquire field of view and camera arrangement information, and calculate coordinates using specific formulas to determine the desired optical characteristics, including virtual image distance, look down/up angle, horizontal/vertical field of view, and static distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple cameras are positioned around a measurement reference point to capture images of patterns on a virtual plane, then measurement precision of optical characteristics is improved, but device complexity increases
Solution Approach 1:
The measurement system is segmented into multiple independent camera units positioned at different locations around the measurement reference point. Each camera captures images of patterns on the virtual plane from its specific viewpoint, allowing the system to obtain comprehensive spatial information without requiring a single complex measurement device.
Solution Approach 2:
A computer serves as an intermediary that receives images from multiple cameras, processes the captured data, and calculates the optical characteristics. This intermediary component coordinates the information from different camera sources and performs the complex computational tasks, separating the measurement function from the calculation function.
2Measurement precision
If field of view information and photographing system information are acquired to calculate coordinates of patterns, then measurement accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
Field of view information and photographing system information are acquired and stored in advance before the actual measurement process. This preliminary preparation of data allows the coordinate calculation to proceed efficiently during measurement without requiring real-time configuration or complex manual setup.
Solution Approach 2:
The system uses the acquired field of view information and photographing system information as feedback parameters to continuously refine the coordinate calculation of patterns. This feedback mechanism ensures that the calculation accounts for the specific geometric relationships between cameras, virtual plane, and measurement reference point.
3Productivity
If coordinates of multiple patterns are calculated using captured images and camera information, then productivity of optical characteristic measurement is improved, but measurement precision may deteriorate due to increased processing complexity
Solution Approach 1:
The system captures images of patterns on the virtual plane using multiple cameras, creating visual copies of the pattern positions from different viewpoints. These image copies are then processed to calculate coordinates, allowing simultaneous measurement of multiple pattern points without requiring physical movement of measurement devices.
Solution Approach 2:
The system transitions from two-dimensional image coordinates to three-dimensional spatial coordinates by incorporating the known positions and field of view of multiple cameras. This dimensional transformation enables the calculation of accurate 3D coordinates of patterns on the virtual plane from 2D image captures.
Data Source
AI summary
A method and apparatus for measuring optical characteristics of an augmented reality device are disclosed. A method of measuring optical characteristics of an augmented reality device according to an exemplary embodiment of the present invention includes: taking a test image including a plurality of patterns that is output on a virtual plane by the augmented reality device, using at least one camera disposed around a predetermined measurement reference position; acquiring field of view information including information about the field of view of the at least one camera, and photographing system information including information about the arrangement of the at least one camera; and calculating the coordinates of a plurality of patterns with respect to the measurement reference position on the basis of a plurality of captured images taken by the at least one camera, field of view information, and photographing system information.