Automated IPD Determination via Pupil Reflection Analysis
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Solution Overview
Problem
Existing methods for determining interpupillary distance (IPD) are inaccurate and user-dependent, which can lead to dizziness when 3D images are not aligned correctly with the user's gaze, especially in applications requiring precise optical axis alignment.
Innovation Solution
A method and apparatus that output a source pattern to a display, capture an image of the user, and analyze it to detect pupils and their reflection patterns, using geometric modeling to determine the IPD based on intrinsic camera parameters and 3D positions, ensuring accurate alignment of 3D images with the user's gaze.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a ruler or manual measuring apparatus is used to measure IPD, then the measurement process is simple and accessible, but the measurement precision varies depending on the person using the apparatus
Solution Approach 1:
The patent replaces manual mechanical measurement (ruler-based) with an automated optical measurement system. A camera captures images of the user's eyes, and image processing algorithms automatically detect pupil positions and calculate IPD, eliminating human subjectivity and improving measurement consistency.
Solution Approach 2:
The system creates a digital copy (image) of the user's eyes and processes this copy to determine IPD. Instead of direct physical measurement, the patent uses photographic imaging and digital image analysis to extract pupil positions and compute the interpupillary distance.
2Reliability
If IPD measurement is not accurate, then the measurement process remains simple, but the alignment of 3D images with user gaze becomes incorrect causing dizziness
Solution Approach 1:
The system uses feedback from captured images to verify and refine IPD measurement. By analyzing the captured eye images and comparing detected features with expected patterns, the system can adjust and confirm the accuracy of IPD measurements, ensuring reliable 3D image alignment.
Solution Approach 2:
The patent performs preliminary IPD measurement and verification before 3D image transmission. The system captures images, detects pupil positions, calculates IPD, and verifies alignment parameters in advance, ensuring that 3D images are correctly aligned with the user's gaze axis before delivery, thereby preventing dizziness.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a precise and user-independent method for determining IPD, ensuring accurate alignment of 3D images with the user's gaze, reducing dizziness and enhancing the effectiveness of 3D image transmission.
Implementation Method 1
detecting a reflection pattern of peripheries of the pupils in the image
Data Source
AI summary
Provided is an apparatus and method for determining an interpupillary distance (IPD), the method and apparatus may determine the IPD of a user by analyzing an image of the user gazing at a display to which a predetermined pattern is output, wherein the image may be obtained by the apparatus for determining the IPD or may be received from an external terminal.