3D Head Orientation Alignment for Natural Eye Rotation Center Measurement
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Solution Overview
Problem
Existing methods for determining the position of the rotation center of the eyes with respect to the body are imprecise due to unnatural measurement conditions, failing to account for the individual's natural posture and movement.
Innovation Solution
A method for determining an oriented 3D representation of the head in a natural visual posture, comprising steps to receive a first dataset of the head in a first frame, determine a second dataset of the head's orientation in a natural posture, and align the first dataset with the second to create a common frame, allowing precise morphological and posture measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurements are taken statically under artificial conditions, then measurement precision can be maintained, but the measurements do not reflect natural posture and movement
Solution Approach 1:
The system transitions from static measurement to dynamic measurement by capturing images during natural head movements and postures. The method processes sequences of images taken at different moments to determine head orientation and eye rotation center position in natural visual posture, making the measurement system adaptive to dynamic conditions while maintaining precision through computational algorithms.
2Adaptability or versatility
If existing posture determination devices are used, then body posture can be detected, but the precision is insufficient for determining eye rotation center position
Solution Approach 1:
The method segments the measurement process into two independent parts: head posture determination and eye rotation center position determination. By separating these functions and using specialized algorithms for each, the system achieves both comprehensive posture coverage and high precision for eye rotation center detection, overcoming the limitations of integrated devices.
Solution Approach 2:
The system introduces an intermediary computational model that links head posture orientation to eye rotation center position. This model processes the relationship between head orientation data and eye position data to calculate the rotation center position, serving as a mediator that transforms general posture information into precise eye-specific measurements.
3Adaptability or versatility
If measurements are taken in unconstrained situations, then natural posture is captured, but measurement precision deteriorates
Solution Approach 1:
The system employs feedback mechanisms where the processed image data is continuously used to refine the head orientation and eye position calculations. By analyzing multiple images and adjusting the computational model based on observed patterns, the system maintains high precision even in unconstrained natural situations, correcting for measurement variations through iterative refinement.
Data Source
AI summary
A method for implemented by computer means for determining an oriented 3D representation of the head of a person in a natural visual posture, including receiving a first dataset corresponding to a first 3D representation of the head of the person in a first frame and the position of the rotation center of at least one eye of the person in said first frame, determining a second dataset corresponding to the orientation of the head of the person in a natural visual posture in a second frame, and determining an oriented 3D representation of the head of the person by orienting the first 3D representation of the head of the person based on the orientation of the head of the person in a common frame.