Digital Optician Measurement With Head Registration and Iris Calibration
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Solution Overview
Problem
Existing digital mirrors and virtual try-on systems fail to accurately measure facial features for fitting eyewear due to uncertainties in head orientation and gaze alignment, leading to inaccuracies in pupillary distance (PD) and ocular center (OC) measurements.
Innovation Solution
A system and method that includes a camera, monitor screen, and processor for generating virtual facial measurements by projecting a graphical target, registering user head orientation, and using calibration and registration methods to ensure accurate PD and OC measurements, with augmented reality for virtual frame try-on.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated measurement methods are implemented, then productivity is improved, but measurement precision deteriorates due to uncertainties in head orientation and gaze alignment
Solution Approach 1:
The system provides real-time visual feedback through graphical overlays that show the user's head orientation relative to the ideal measurement position. The graphical target indicates whether the user is looking at the camera or screen, allowing the user to self-correct their positioning. This feedback loop enables automated measurement while maintaining precision by guiding the user to achieve proper alignment.
Solution Approach 2:
A graphical target and visual indicators serve as intermediaries between the automated measurement system and the user. These graphical elements mediate the alignment process by providing intuitive visual cues that guide the user's head position and gaze direction, bridging the gap between automated measurement requirements and user capability.
2Measurement precision
If graphical feedback is provided to guide head positioning, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The graphical feedback system serves multiple functions: it guides head positioning, indicates gaze alignment, confirms measurement readiness, and provides real-time orientation feedback. By consolidating these multiple guidance functions into a single visual interface, the system achieves high measurement precision without proportionally increasing complexity.
Solution Approach 2:
The system enables users to self-position and self-align using the graphical feedback, eliminating the need for manual intervention or complex mechanical positioning devices. The user independently achieves proper alignment by responding to visual cues, reducing the complexity of automated positioning mechanisms.
3Measurement precision
If multiple calibration steps are implemented, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary calibration by capturing reference images of the user's face at the beginning of the measurement process. These preliminary measurements establish baseline dimensions (such as facial width and height) that are used to automatically calculate scaling factors, eliminating the need for multiple manual calibration steps and reducing time loss while maintaining precision.
Data Source
AI summary
A system for generating bodily measurements of a user appearing in video stream. The accuracy of the measurement is enhanced by performing a calibration to obtain a length per pixel coefficient and performing registration of an avatar of the user to a graphical target to position the user at the proper orientation. The calibration may be obtained by using measurement of the iris of the user. The registration may be obtained generating a three-dimensional spheroid corresponding to the head of the user and moving the spheroid in correspondence to motion of the head of the user.